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Medical students lead event addressing disparity in skin cancer morbidity and mortality
WASHINGTON – Those who self-identify as Hispanic or Black have a lower self-perceived risk of melanoma. In fact, people of color receive little to no information concerning skin cancer risks and prevention strategies and experience a longer time from diagnosis to definitive surgery, resulting in far worse outcomes, compared with non-Hispanic Whites.
This disparity is reflected in statistics showing that the average 5-year survival rate for melanoma is 92% in White patients but drops down to 67% in Black patients. Low income is also a contributing factor: Patients with lower incomes experience greater difficulty accessing health care and have greater time to diagnosis and a worse prognosis and survival time with melanoma. Despite economic advancements, Black Americans are still economically deprived when compared with White Americans.
This reality is what led Sarah Millan, a 4th-year medical student at George Washington University, Washington, to focus on the Ward 8 community in Washington – one of the poorest regions in our nation’s capital – well known for limited access to medical care and referred to as a health care desert. “Ward 8 has a population that is 92% Black and does not have a single dermatology clinic in the vicinity – my vision was to bring together the community through an enjoyable attraction conducive to the delivery of quality dermatologic care and education to a community that has none,” said Ms. Millan.
This low-resource population that is socioeconomically and geographically isolated is likely unaware of skin cancer risks, prevention strategies, and signs or symptoms that would warrant a visit to the dermatologist.
, while also exploring the attitudes and behaviors around skin cancer and sunscreen use in the community through data collected from optional surveys.
On Saturday, July 10, 2021, dermatologists from George Washington University, department of dermatology and medical students from George Washington School of Medicine and Health Sciences and Howard University College of Medicine in Washington, transformed Martha’s Outfitters in Ward 8 into a decorated, music-filled venue. Part of the Ward 8 council member’s 40 Days of Peace initiative, the Learn2Derm fair provided free skin cancer screenings by dermatologists, while students staffed various stations, delivering fun and interactive educational lessons organized by Ms. Millan under the mentorship of Adam Friedman, MD, chair of dermatology at George Washington University.
“It is our responsibility to support our communities through care, but even more importantly, combating misinformation and misperceptions that could interfere with healthy living,” said Dr. Friedman.
Activities included arts and crafts sponsored by the American Academy of Dermatology Good Skin Knowledge lessons, games with giveaways sponsored by the Polka Dot Mama Melanoma Foundation and IMPACT Melanoma, Skin Analyzers (to see where sunscreen was applied, and where it was missed) supplied by the Melanoma Research Foundation (MRF) and Children’s Melanoma Prevention Foundation (CMPF), and even Viva Vita virtual reality headsets that are catered towards the senior population – but enjoyable to anyone. Prizes and giveaways ranged from ultraviolet-induced color-changing bracelets and Frisbees, SPF lip balms, sunglasses – and of course – an abundant supply of free sunscreen. Many community members expressed their gratitude for this event and were impressed by the education that was enlivened through interactive games, activities, and giveaways. One participant shared the news of the event with a friend who immediately stopped what she was doing to come by for some education, a skin cancer screening, and free skincare products. While parents went in for a free skin cancer screening, their children were supervised by medical student volunteers as they colored or participated in other stations.
Ms. Millan’s involvement with the National Council on Skin Cancer Prevention’s Skin Smart Campus Initiative facilitated the support and partnership with multiple national organizations central to the event’s success, including the AAD, the National Council on Skin Cancer Prevention, the Skin Cancer Foundation, IMPACT Melanoma, Polka Dot Mama Melanoma Foundation, MRF, and CMPF. The donations of these organizations and businesses in the sun protection industry, along with faculty and medical students who share a passion for delivering dermatologic care and resources brought this exciting plan into fruition. The aim of Learn2Derm is not for this to be a single event, but rather the first of many that will continue to deliver this type of care to a community that is in need of greater dermatologic attention – an ongoing occurrence that can have a lasting impact on the Ward 8 community.
Major sunscreen manufacturers that donated sunscreen for this event included Avène, Black Girl Sunscreen, CeraVe, Cetaphil, EltaMD, and Neutrogena. Coolibar, which specializes in sun-protective clothing, also made a donation of multistyle hats, gaiters, and clothes for attendees.
References
1: Harvey VM et al. Cancer Control. 2014 Oct;21(4):343-9.
2: Tripathi R et al. J Am Acad Dermatol. 2020 Sep;83(3):854-9.
3. Beyer Don. “The Economic State of Black America in 2020” U.S. Congress: Joint Economic Committee.
4. Culp MaryBeth B and Lunsford Natasha Buchanan. “Melanoma Among Non-Hispanic Black Americans” Prev Chronic Dis;16. 2019 Jun 20. doi: 10.5888/pcd16.180640.
5. “Ask the Expert: Is There a Skin Cancer Crisis in People of Color?” The Skin Cancer Foundation. 2020 Jul 5.
6. Salvaggio C et al. Oncology. 2016;90(2):79-87.
WASHINGTON – Those who self-identify as Hispanic or Black have a lower self-perceived risk of melanoma. In fact, people of color receive little to no information concerning skin cancer risks and prevention strategies and experience a longer time from diagnosis to definitive surgery, resulting in far worse outcomes, compared with non-Hispanic Whites.
This disparity is reflected in statistics showing that the average 5-year survival rate for melanoma is 92% in White patients but drops down to 67% in Black patients. Low income is also a contributing factor: Patients with lower incomes experience greater difficulty accessing health care and have greater time to diagnosis and a worse prognosis and survival time with melanoma. Despite economic advancements, Black Americans are still economically deprived when compared with White Americans.
This reality is what led Sarah Millan, a 4th-year medical student at George Washington University, Washington, to focus on the Ward 8 community in Washington – one of the poorest regions in our nation’s capital – well known for limited access to medical care and referred to as a health care desert. “Ward 8 has a population that is 92% Black and does not have a single dermatology clinic in the vicinity – my vision was to bring together the community through an enjoyable attraction conducive to the delivery of quality dermatologic care and education to a community that has none,” said Ms. Millan.
This low-resource population that is socioeconomically and geographically isolated is likely unaware of skin cancer risks, prevention strategies, and signs or symptoms that would warrant a visit to the dermatologist.
, while also exploring the attitudes and behaviors around skin cancer and sunscreen use in the community through data collected from optional surveys.
On Saturday, July 10, 2021, dermatologists from George Washington University, department of dermatology and medical students from George Washington School of Medicine and Health Sciences and Howard University College of Medicine in Washington, transformed Martha’s Outfitters in Ward 8 into a decorated, music-filled venue. Part of the Ward 8 council member’s 40 Days of Peace initiative, the Learn2Derm fair provided free skin cancer screenings by dermatologists, while students staffed various stations, delivering fun and interactive educational lessons organized by Ms. Millan under the mentorship of Adam Friedman, MD, chair of dermatology at George Washington University.
“It is our responsibility to support our communities through care, but even more importantly, combating misinformation and misperceptions that could interfere with healthy living,” said Dr. Friedman.
Activities included arts and crafts sponsored by the American Academy of Dermatology Good Skin Knowledge lessons, games with giveaways sponsored by the Polka Dot Mama Melanoma Foundation and IMPACT Melanoma, Skin Analyzers (to see where sunscreen was applied, and where it was missed) supplied by the Melanoma Research Foundation (MRF) and Children’s Melanoma Prevention Foundation (CMPF), and even Viva Vita virtual reality headsets that are catered towards the senior population – but enjoyable to anyone. Prizes and giveaways ranged from ultraviolet-induced color-changing bracelets and Frisbees, SPF lip balms, sunglasses – and of course – an abundant supply of free sunscreen. Many community members expressed their gratitude for this event and were impressed by the education that was enlivened through interactive games, activities, and giveaways. One participant shared the news of the event with a friend who immediately stopped what she was doing to come by for some education, a skin cancer screening, and free skincare products. While parents went in for a free skin cancer screening, their children were supervised by medical student volunteers as they colored or participated in other stations.
Ms. Millan’s involvement with the National Council on Skin Cancer Prevention’s Skin Smart Campus Initiative facilitated the support and partnership with multiple national organizations central to the event’s success, including the AAD, the National Council on Skin Cancer Prevention, the Skin Cancer Foundation, IMPACT Melanoma, Polka Dot Mama Melanoma Foundation, MRF, and CMPF. The donations of these organizations and businesses in the sun protection industry, along with faculty and medical students who share a passion for delivering dermatologic care and resources brought this exciting plan into fruition. The aim of Learn2Derm is not for this to be a single event, but rather the first of many that will continue to deliver this type of care to a community that is in need of greater dermatologic attention – an ongoing occurrence that can have a lasting impact on the Ward 8 community.
Major sunscreen manufacturers that donated sunscreen for this event included Avène, Black Girl Sunscreen, CeraVe, Cetaphil, EltaMD, and Neutrogena. Coolibar, which specializes in sun-protective clothing, also made a donation of multistyle hats, gaiters, and clothes for attendees.
References
1: Harvey VM et al. Cancer Control. 2014 Oct;21(4):343-9.
2: Tripathi R et al. J Am Acad Dermatol. 2020 Sep;83(3):854-9.
3. Beyer Don. “The Economic State of Black America in 2020” U.S. Congress: Joint Economic Committee.
4. Culp MaryBeth B and Lunsford Natasha Buchanan. “Melanoma Among Non-Hispanic Black Americans” Prev Chronic Dis;16. 2019 Jun 20. doi: 10.5888/pcd16.180640.
5. “Ask the Expert: Is There a Skin Cancer Crisis in People of Color?” The Skin Cancer Foundation. 2020 Jul 5.
6. Salvaggio C et al. Oncology. 2016;90(2):79-87.
WASHINGTON – Those who self-identify as Hispanic or Black have a lower self-perceived risk of melanoma. In fact, people of color receive little to no information concerning skin cancer risks and prevention strategies and experience a longer time from diagnosis to definitive surgery, resulting in far worse outcomes, compared with non-Hispanic Whites.
This disparity is reflected in statistics showing that the average 5-year survival rate for melanoma is 92% in White patients but drops down to 67% in Black patients. Low income is also a contributing factor: Patients with lower incomes experience greater difficulty accessing health care and have greater time to diagnosis and a worse prognosis and survival time with melanoma. Despite economic advancements, Black Americans are still economically deprived when compared with White Americans.
This reality is what led Sarah Millan, a 4th-year medical student at George Washington University, Washington, to focus on the Ward 8 community in Washington – one of the poorest regions in our nation’s capital – well known for limited access to medical care and referred to as a health care desert. “Ward 8 has a population that is 92% Black and does not have a single dermatology clinic in the vicinity – my vision was to bring together the community through an enjoyable attraction conducive to the delivery of quality dermatologic care and education to a community that has none,” said Ms. Millan.
This low-resource population that is socioeconomically and geographically isolated is likely unaware of skin cancer risks, prevention strategies, and signs or symptoms that would warrant a visit to the dermatologist.
, while also exploring the attitudes and behaviors around skin cancer and sunscreen use in the community through data collected from optional surveys.
On Saturday, July 10, 2021, dermatologists from George Washington University, department of dermatology and medical students from George Washington School of Medicine and Health Sciences and Howard University College of Medicine in Washington, transformed Martha’s Outfitters in Ward 8 into a decorated, music-filled venue. Part of the Ward 8 council member’s 40 Days of Peace initiative, the Learn2Derm fair provided free skin cancer screenings by dermatologists, while students staffed various stations, delivering fun and interactive educational lessons organized by Ms. Millan under the mentorship of Adam Friedman, MD, chair of dermatology at George Washington University.
“It is our responsibility to support our communities through care, but even more importantly, combating misinformation and misperceptions that could interfere with healthy living,” said Dr. Friedman.
Activities included arts and crafts sponsored by the American Academy of Dermatology Good Skin Knowledge lessons, games with giveaways sponsored by the Polka Dot Mama Melanoma Foundation and IMPACT Melanoma, Skin Analyzers (to see where sunscreen was applied, and where it was missed) supplied by the Melanoma Research Foundation (MRF) and Children’s Melanoma Prevention Foundation (CMPF), and even Viva Vita virtual reality headsets that are catered towards the senior population – but enjoyable to anyone. Prizes and giveaways ranged from ultraviolet-induced color-changing bracelets and Frisbees, SPF lip balms, sunglasses – and of course – an abundant supply of free sunscreen. Many community members expressed their gratitude for this event and were impressed by the education that was enlivened through interactive games, activities, and giveaways. One participant shared the news of the event with a friend who immediately stopped what she was doing to come by for some education, a skin cancer screening, and free skincare products. While parents went in for a free skin cancer screening, their children were supervised by medical student volunteers as they colored or participated in other stations.
Ms. Millan’s involvement with the National Council on Skin Cancer Prevention’s Skin Smart Campus Initiative facilitated the support and partnership with multiple national organizations central to the event’s success, including the AAD, the National Council on Skin Cancer Prevention, the Skin Cancer Foundation, IMPACT Melanoma, Polka Dot Mama Melanoma Foundation, MRF, and CMPF. The donations of these organizations and businesses in the sun protection industry, along with faculty and medical students who share a passion for delivering dermatologic care and resources brought this exciting plan into fruition. The aim of Learn2Derm is not for this to be a single event, but rather the first of many that will continue to deliver this type of care to a community that is in need of greater dermatologic attention – an ongoing occurrence that can have a lasting impact on the Ward 8 community.
Major sunscreen manufacturers that donated sunscreen for this event included Avène, Black Girl Sunscreen, CeraVe, Cetaphil, EltaMD, and Neutrogena. Coolibar, which specializes in sun-protective clothing, also made a donation of multistyle hats, gaiters, and clothes for attendees.
References
1: Harvey VM et al. Cancer Control. 2014 Oct;21(4):343-9.
2: Tripathi R et al. J Am Acad Dermatol. 2020 Sep;83(3):854-9.
3. Beyer Don. “The Economic State of Black America in 2020” U.S. Congress: Joint Economic Committee.
4. Culp MaryBeth B and Lunsford Natasha Buchanan. “Melanoma Among Non-Hispanic Black Americans” Prev Chronic Dis;16. 2019 Jun 20. doi: 10.5888/pcd16.180640.
5. “Ask the Expert: Is There a Skin Cancer Crisis in People of Color?” The Skin Cancer Foundation. 2020 Jul 5.
6. Salvaggio C et al. Oncology. 2016;90(2):79-87.
Age, distance from dermatology clinic <p>predict number of melanomas diagnosed
Among patients from a single dermatology practice who were diagnosed with two or more melanomas over an 8-year period, 45% lived more than 20 miles away from the practice, and almost 60% were 70 years of age and older, results from single-center study showed.
“Dermatologists have known that many people are underdiagnosed for melanoma, but now our research supports that the problem is especially concentrated among older patients living in remote areas,” corresponding author Rose Parisi, MBA, said in an interview. “With this information, dermatologists should consider identifying and reaching out to their patients in this at-risk subpopulation, increasing the frequency of full-body skin exams, and collaborating with primary care physicians to educate them about melanoma’s dangers.”
In a study published online Aug. 3 in the Journal of the American Academy of Dermatology, Ms. Parisi of Albany Medical College, New York, and colleagues drew from the electronic medical records of a single-specialty private dermatology practice that serves urban, suburban, and rural patient populations to identify 346 melanoma pathology reports from patients cared for between 2012 and 2020. They limited their investigation to those diagnosed with biopsy-confirmed melanoma and analyzed the number of melanomas, Breslow depth, follow-up full-body skin exams, family history of melanoma, gender, insurance, and age (categorized as younger than 70 years and 70 years or older). To determine patient travel distance, they calculated the miles between the ZIP codes of the patient’s residence and the dermatology practice.
Regression analysis revealed that the . Specifically, among patients diagnosed with two or more melanomas, 45.0% lived more than 20 miles away and 21.3% lived less than 15 miles away; 59.6% were age 70 and older, while 40.4% were younger than age 70 (P less than .01).
No statistically significant association was observed between travel distance and Breslow depth or follow-up full-body skin exams within 1 year following diagnosis.
In other findings, among patients who lived more than 20 miles from the practice, those aged 70 and older were diagnosed with 0.56 more melanomas than patients between the ages of 58 and 70 (P = .00003), and 0.31 more melanomas than patients who lived 15-20 miles away (P = .014). No statistically significant differences in the number of melanomas diagnosed were observed between patients in either age group who lived fewer than 15 miles from the office.
“We were surprised that the combination of age and patient distance to diagnosing dermatology provider was such a powerful predictor of the number of diagnosed melanomas,” Ms. Parisi said. “It’s probably due to less mobility among older patients living in more remote areas, and it puts them at higher risk of multiple melanomas. This was something we haven’t seen in the dermatology literature.”
She and her coauthors acknowledged that the limited sampling of patients from a single practice “may not generalize across all urban and rural settings, and results must be considered preliminary,” they wrote. However, “our findings reveal an important vulnerability among older patients in nonurban areas, and efforts to improve access to melanoma diagnosis should be concentrated on this geodemographic segment.”
Nikolai Klebanov, MD, of the department of dermatology at Massachusetts General Hospital, Boston, who was asked to comment on the study, described what was addressed in the study as a “timely and an important topic.”
In an interview, he said, “there is less access to dermatologists and other medical specialists outside of large metropolitan and suburban areas,” and there are other health disparities affecting people living in rural or more underserved areas, which, he added, “also became exacerbated by the COVID-19 pandemic.”
For future studies on this topic, Dr. Klebanov said that he would be interested to see diagnoses measured per person-year rather than the total number of melanomas diagnosed. “More elderly patients may also be those who have ‘stuck with the practice’ for longer, and had a longer follow-up that gives more time to catch more melanomas,” he said.
“Adjusting for median income using ZIP codes could also help adjust for socioeconomic status, which would help with external validity of the study. Income relationships to geography are not the same in all cities; some have wealthy suburbs within 20 miles, while some have more underserved and rural areas at that distance.”
Neither the researchers nor Dr. Klebanov reported having financial disclosures.
Among patients from a single dermatology practice who were diagnosed with two or more melanomas over an 8-year period, 45% lived more than 20 miles away from the practice, and almost 60% were 70 years of age and older, results from single-center study showed.
“Dermatologists have known that many people are underdiagnosed for melanoma, but now our research supports that the problem is especially concentrated among older patients living in remote areas,” corresponding author Rose Parisi, MBA, said in an interview. “With this information, dermatologists should consider identifying and reaching out to their patients in this at-risk subpopulation, increasing the frequency of full-body skin exams, and collaborating with primary care physicians to educate them about melanoma’s dangers.”
In a study published online Aug. 3 in the Journal of the American Academy of Dermatology, Ms. Parisi of Albany Medical College, New York, and colleagues drew from the electronic medical records of a single-specialty private dermatology practice that serves urban, suburban, and rural patient populations to identify 346 melanoma pathology reports from patients cared for between 2012 and 2020. They limited their investigation to those diagnosed with biopsy-confirmed melanoma and analyzed the number of melanomas, Breslow depth, follow-up full-body skin exams, family history of melanoma, gender, insurance, and age (categorized as younger than 70 years and 70 years or older). To determine patient travel distance, they calculated the miles between the ZIP codes of the patient’s residence and the dermatology practice.
Regression analysis revealed that the . Specifically, among patients diagnosed with two or more melanomas, 45.0% lived more than 20 miles away and 21.3% lived less than 15 miles away; 59.6% were age 70 and older, while 40.4% were younger than age 70 (P less than .01).
No statistically significant association was observed between travel distance and Breslow depth or follow-up full-body skin exams within 1 year following diagnosis.
In other findings, among patients who lived more than 20 miles from the practice, those aged 70 and older were diagnosed with 0.56 more melanomas than patients between the ages of 58 and 70 (P = .00003), and 0.31 more melanomas than patients who lived 15-20 miles away (P = .014). No statistically significant differences in the number of melanomas diagnosed were observed between patients in either age group who lived fewer than 15 miles from the office.
“We were surprised that the combination of age and patient distance to diagnosing dermatology provider was such a powerful predictor of the number of diagnosed melanomas,” Ms. Parisi said. “It’s probably due to less mobility among older patients living in more remote areas, and it puts them at higher risk of multiple melanomas. This was something we haven’t seen in the dermatology literature.”
She and her coauthors acknowledged that the limited sampling of patients from a single practice “may not generalize across all urban and rural settings, and results must be considered preliminary,” they wrote. However, “our findings reveal an important vulnerability among older patients in nonurban areas, and efforts to improve access to melanoma diagnosis should be concentrated on this geodemographic segment.”
Nikolai Klebanov, MD, of the department of dermatology at Massachusetts General Hospital, Boston, who was asked to comment on the study, described what was addressed in the study as a “timely and an important topic.”
In an interview, he said, “there is less access to dermatologists and other medical specialists outside of large metropolitan and suburban areas,” and there are other health disparities affecting people living in rural or more underserved areas, which, he added, “also became exacerbated by the COVID-19 pandemic.”
For future studies on this topic, Dr. Klebanov said that he would be interested to see diagnoses measured per person-year rather than the total number of melanomas diagnosed. “More elderly patients may also be those who have ‘stuck with the practice’ for longer, and had a longer follow-up that gives more time to catch more melanomas,” he said.
“Adjusting for median income using ZIP codes could also help adjust for socioeconomic status, which would help with external validity of the study. Income relationships to geography are not the same in all cities; some have wealthy suburbs within 20 miles, while some have more underserved and rural areas at that distance.”
Neither the researchers nor Dr. Klebanov reported having financial disclosures.
Among patients from a single dermatology practice who were diagnosed with two or more melanomas over an 8-year period, 45% lived more than 20 miles away from the practice, and almost 60% were 70 years of age and older, results from single-center study showed.
“Dermatologists have known that many people are underdiagnosed for melanoma, but now our research supports that the problem is especially concentrated among older patients living in remote areas,” corresponding author Rose Parisi, MBA, said in an interview. “With this information, dermatologists should consider identifying and reaching out to their patients in this at-risk subpopulation, increasing the frequency of full-body skin exams, and collaborating with primary care physicians to educate them about melanoma’s dangers.”
In a study published online Aug. 3 in the Journal of the American Academy of Dermatology, Ms. Parisi of Albany Medical College, New York, and colleagues drew from the electronic medical records of a single-specialty private dermatology practice that serves urban, suburban, and rural patient populations to identify 346 melanoma pathology reports from patients cared for between 2012 and 2020. They limited their investigation to those diagnosed with biopsy-confirmed melanoma and analyzed the number of melanomas, Breslow depth, follow-up full-body skin exams, family history of melanoma, gender, insurance, and age (categorized as younger than 70 years and 70 years or older). To determine patient travel distance, they calculated the miles between the ZIP codes of the patient’s residence and the dermatology practice.
Regression analysis revealed that the . Specifically, among patients diagnosed with two or more melanomas, 45.0% lived more than 20 miles away and 21.3% lived less than 15 miles away; 59.6% were age 70 and older, while 40.4% were younger than age 70 (P less than .01).
No statistically significant association was observed between travel distance and Breslow depth or follow-up full-body skin exams within 1 year following diagnosis.
In other findings, among patients who lived more than 20 miles from the practice, those aged 70 and older were diagnosed with 0.56 more melanomas than patients between the ages of 58 and 70 (P = .00003), and 0.31 more melanomas than patients who lived 15-20 miles away (P = .014). No statistically significant differences in the number of melanomas diagnosed were observed between patients in either age group who lived fewer than 15 miles from the office.
“We were surprised that the combination of age and patient distance to diagnosing dermatology provider was such a powerful predictor of the number of diagnosed melanomas,” Ms. Parisi said. “It’s probably due to less mobility among older patients living in more remote areas, and it puts them at higher risk of multiple melanomas. This was something we haven’t seen in the dermatology literature.”
She and her coauthors acknowledged that the limited sampling of patients from a single practice “may not generalize across all urban and rural settings, and results must be considered preliminary,” they wrote. However, “our findings reveal an important vulnerability among older patients in nonurban areas, and efforts to improve access to melanoma diagnosis should be concentrated on this geodemographic segment.”
Nikolai Klebanov, MD, of the department of dermatology at Massachusetts General Hospital, Boston, who was asked to comment on the study, described what was addressed in the study as a “timely and an important topic.”
In an interview, he said, “there is less access to dermatologists and other medical specialists outside of large metropolitan and suburban areas,” and there are other health disparities affecting people living in rural or more underserved areas, which, he added, “also became exacerbated by the COVID-19 pandemic.”
For future studies on this topic, Dr. Klebanov said that he would be interested to see diagnoses measured per person-year rather than the total number of melanomas diagnosed. “More elderly patients may also be those who have ‘stuck with the practice’ for longer, and had a longer follow-up that gives more time to catch more melanomas,” he said.
“Adjusting for median income using ZIP codes could also help adjust for socioeconomic status, which would help with external validity of the study. Income relationships to geography are not the same in all cities; some have wealthy suburbs within 20 miles, while some have more underserved and rural areas at that distance.”
Neither the researchers nor Dr. Klebanov reported having financial disclosures.
FROM JAMA DERMATOLOGY
Exploring the Utility of Artificial Intelligence During COVID-19 in Dermatology Practice
With the need to adapt to the given challenges associated with COVID-19, artificial intelligence (AI) serves as a potential tool in providing access to medical-based diagnosis in a novel way. Artificial intelligence is defined as intelligence harnessed by machines that have the ability to perform what is called cognitive thinking and to mimic the problem-solving abilities of the human mind. Virtual AI in dermatology entails neural network–based guidance that includes developing algorithms to detect skin pathology through photographs.1 To use AI in dermatology, recognition of visual patterns must be established to give diagnoses. These neural networks have been used to classify skin diseases, including cancer, actinic keratosis, and warts.2
AI for Skin Cancer
The use of AI to classify melanoma and nonmelanoma skin cancer has been studied extensively, including the following 2 research projects.
Convolutional Neural Network
In 2017, Stanford University published a study in which a deep-learning algorithm known as a convolutional neural network was used to classify skin lesions.3 The network was trained using a dataset of 129,450 clinical images of 2032 diseases. Its performance was compared to that of 21 board-certified dermatologists on biopsy-proven clinical images with 2 classifications of cases: (1) keratinocyte carcinoma as opposed to benign seborrheic keratosis and (2) malignant melanoma as opposed to benign nevi—the first representing the most common skin cancers, and the second, the deadliest skin cancers. The study showed that the machine could accurately identify and classify skin cancers compared to the work of board-certified dermatologists. The study did not include demographic information, which limits its external validity.3
Dermoscopic Image Classification
A 2019 study by Brinker and colleagues4 showed the superiority of automated dermoscopic melanoma image classifications compared to the work of board-certified dermatologists. For the study, 804 biopsy-proven images of melanoma and nevi (1:1 ratio) were randomly presented to dermatologists for their evaluation and recommended treatment (yielding 19,296 recommendations). The dermatologists classified the lesions with a sensitivity of 67.2% and specificity of 62.2%; the trained convolutional neural network attained both higher sensitivity (82.3%) and higher specificity (77.9%).4
Smartphone Diagnosis of Melanoma
An application of AI has been to use smartphone apps for the diagnosis of melanoma. The most utilized and novel algorithm-based smartphone app that assesses skin lesions for malignancy characteristics is SkinVision. With a simple download from Apple’s App Store, this technology allows a person to check their skin spots by taking a photograph and receiving algorithmic risk-assessment feedback. This inexpensive software ($51.78 a year) also allows a patient’s physician to assess the photograph and then validate their assessment by comparing it with the algorithmic analysis that the program provides.5
A review of SkinVision conducted by Thissen and colleagues6 found that, in a hypothetical population of 1000 adults of whom 3% actually had melanoma, 4 of those 30 people would not have been flagged as at “high risk” by SkinVision. There also was a high false-positive rate with the app, with more than 200 people flagged as at high risk. The analysis pegged SkinVision as having a sensitivity of 88% and specificity of 79%.6
In summary, systematic review of diagnostic accuracy has shown that, although there is accuracy in AI analyses, it should be used only as a guide for health care advice due to variability in algorithm performance.7
Utility of AI in Telehealth
Artificial intelligence algorithms could be created to ensure telehealth image accuracy, stratify risk, and track patient progress. With teledermatology visits on the rise during the COVID-19 pandemic, AI algorithms could ensure that photographs of appropriate quality are taken. Also, patients could be organized by risk factors with such algorithms, allowing physicians to save time on triage and stratification. Algorithms also could be used to track a telehealth patient’s treatment and progress.8
Furthermore, there is a need for an algorithm that has the ability to detect, quantify, and monitor changes in dermatologic conditions using images that patients have uploaded. This capability will lead to creation of a standardized quantification scale that will allow physicians to virtually track the progression of visible skin pathologies.
Hazards of Racial Bias in AI
Artificial intelligence is limited by racial disparity bias seen in computerized medicine. For years, the majority of dermatology research, especially in skin cancer, has been conducted on fairer-skinned populations. This bias has existed at the expense of darker-skinned patients, whose skin conditions and symptoms present differently,9 and reflects directly in available data sets that can be used to develop AI algorithms. Because these data are inadequate to the task, AI might misdiagnose skin cancer in people of color or miss an existing condition entirely.10 Consequently, the higher rate of skin cancer mortality that is reported in people of color is likely to persist with the rise of AI in dermatology.11 A more representative database of imaged skin lesions needs to be utilized to create a diversely representative and applicable data set for AI algorithms.12
Benefits of Conversational Agents
Another method by which AI could be incorporated into dermatology is through what is known as a conversational agent (CA)—AI software that engages in a dialogue with users by interpreting their voice and replying to them through text, image, or voice.13 Conversational agents facilitate remote patient management, allow clinicians to focus on other functions, and aid in data collection.14 A 2014 study showed that patients were significantly more likely to disclose history and emotions when informed they were interacting with a CA than with a human clinician (P=.007).15 Such benefits could be invaluable in dermatology, where emotions and patient perceptions of skin conditions play into the treatment process.
However, some evidence showed that CAs cannot respond to patients’ statements in all circumstances.16 It also is unclear how well CAs recognize nuanced statements that might signal potential harm. This fits into the greater theme of a major problem with AI: the lack of a reliable response in all circumstances.13
Final Thoughts
The practical implementations of AI in dermatology are still being explored. Given the uncertainty surrounding the COVID-19 pandemic and the future of patient care, AI might serve as an important asset in assisting with the diagnosis and treatment of dermatologic conditions, physician productivity, and patient monitoring.
- Amisha, Malik P, Pathania M, et al. Overview of artificial intelligence in medicine. J Family Med Prim Care. 2019;8:2328-2331. doi:10.4103/jfmpc.jfmpc_440_19
- Han SS, Kim MS, Lim W, et al. Classification of the clinical images for benign and malignant cutaneous tumors using a deep learning algorithm. J Invest Dermatol. 2018;138:1529-1538. doi:10.1016/j.jid.2018.01.028
- Esteva A, Kuprel B, Novoa RA, et al. Dermatologist-level classification of skin cancer with deep neural networks. Nature. 2017;542:115-118. doi:10.1038/nature21056
- Brinker TJ, Hekler A, Enk AH, et al. Deep neural networks are superior to dermatologists in melanoma image classification. Eur J Cancer. 2019;119:11-17. doi:10.1016/j.ejca.2019.05.023
- Regulated medical device for detecting skin cancer. SkinVision website. Accessed July 23, 2021. https://www.skinvision.com/hcp/
- Thissen M, Udrea A, Hacking M, et al. mHealth app for risk assessment of pigmented and nonpigmented skin lesions—a study on sensitivity and specificity in detecting malignancy. Telemed J E Health. 2017;23:948-954. doi:10.1089/tmj.2016.0259
- Freeman K, Dinnes J, Chuchu N, et al. Algorithm based smartphone apps to assess risk of skin cancer in adults: systematic review of diagnostic accuracy studies. BMJ. 2020;368:m127. doi:10.1136/bmj.m127
- Puri P, Comfere N, Pittelkow MR, et al. COVID-19: an opportunity to build dermatology’s digital future. Dermatol Ther. 2020;33:e14149. doi:10.1111/dth.14149
- Buster KJ, Stevens EI, Elmets CA. Dermatologic health disparities. Dermatol Clin. 2012;30:53-59,viii. doi:10.1016/j.det.2011.08.002
- Adamson AS, Smith A. Machine learning and health care disparities in dermatology. JAMA Dermatol. 2018;154:1247-1248. doi:10.1001/jamadermatol.2018.2348
- Agbai ON, Buster K, Sanchez M, et al. Skin cancer and photoprotection in people of color: a review and recommendations for physicians and the public. J Am Acad Dermatol. 2014;70:748-762. doi:S0190-9622(13)01296-6
- Alabdulkareem A. Artificial intelligence and dermatologists: friends or foes? J Dermatol Dermatolog Surg. 2019;23:57-60. doi:10.4103/jdds.jdds_19_19
- McGreevey JD 3rd, Hanson CW 3rd, Koppel R. Clinical, legal, and ethical aspects of artificial intelligence-assisted conversational agents in health care. JAMA. 2020;324:552-553. doi:10.1001/jama.2020.2724
- Piau A, Crissey R, Brechemier D, et al. A smartphone chatbot application to optimize monitoring of older patients with cancer. Int J Med Inform. 2019;128:18-23. doi:10.1016/j.ijmedinf.2019.05.013
- Lucas GM, Gratch J, King A, et al. It’s only a computer: virtual humans increase willingness to disclose. Comput Human Behav. 2014;37:94-100. https://doi.org/10.1016/j.chb.2014.04.043
- Miner AS, Milstein A, Schueller S, et al. Smartphone-based conversational agents and responses to questions about mental health, interpersonal violence, and physical health. JAMA Intern Med. 2016;176:619-625. doi:10.1001/jamainternmed.2016.0400
With the need to adapt to the given challenges associated with COVID-19, artificial intelligence (AI) serves as a potential tool in providing access to medical-based diagnosis in a novel way. Artificial intelligence is defined as intelligence harnessed by machines that have the ability to perform what is called cognitive thinking and to mimic the problem-solving abilities of the human mind. Virtual AI in dermatology entails neural network–based guidance that includes developing algorithms to detect skin pathology through photographs.1 To use AI in dermatology, recognition of visual patterns must be established to give diagnoses. These neural networks have been used to classify skin diseases, including cancer, actinic keratosis, and warts.2
AI for Skin Cancer
The use of AI to classify melanoma and nonmelanoma skin cancer has been studied extensively, including the following 2 research projects.
Convolutional Neural Network
In 2017, Stanford University published a study in which a deep-learning algorithm known as a convolutional neural network was used to classify skin lesions.3 The network was trained using a dataset of 129,450 clinical images of 2032 diseases. Its performance was compared to that of 21 board-certified dermatologists on biopsy-proven clinical images with 2 classifications of cases: (1) keratinocyte carcinoma as opposed to benign seborrheic keratosis and (2) malignant melanoma as opposed to benign nevi—the first representing the most common skin cancers, and the second, the deadliest skin cancers. The study showed that the machine could accurately identify and classify skin cancers compared to the work of board-certified dermatologists. The study did not include demographic information, which limits its external validity.3
Dermoscopic Image Classification
A 2019 study by Brinker and colleagues4 showed the superiority of automated dermoscopic melanoma image classifications compared to the work of board-certified dermatologists. For the study, 804 biopsy-proven images of melanoma and nevi (1:1 ratio) were randomly presented to dermatologists for their evaluation and recommended treatment (yielding 19,296 recommendations). The dermatologists classified the lesions with a sensitivity of 67.2% and specificity of 62.2%; the trained convolutional neural network attained both higher sensitivity (82.3%) and higher specificity (77.9%).4
Smartphone Diagnosis of Melanoma
An application of AI has been to use smartphone apps for the diagnosis of melanoma. The most utilized and novel algorithm-based smartphone app that assesses skin lesions for malignancy characteristics is SkinVision. With a simple download from Apple’s App Store, this technology allows a person to check their skin spots by taking a photograph and receiving algorithmic risk-assessment feedback. This inexpensive software ($51.78 a year) also allows a patient’s physician to assess the photograph and then validate their assessment by comparing it with the algorithmic analysis that the program provides.5
A review of SkinVision conducted by Thissen and colleagues6 found that, in a hypothetical population of 1000 adults of whom 3% actually had melanoma, 4 of those 30 people would not have been flagged as at “high risk” by SkinVision. There also was a high false-positive rate with the app, with more than 200 people flagged as at high risk. The analysis pegged SkinVision as having a sensitivity of 88% and specificity of 79%.6
In summary, systematic review of diagnostic accuracy has shown that, although there is accuracy in AI analyses, it should be used only as a guide for health care advice due to variability in algorithm performance.7
Utility of AI in Telehealth
Artificial intelligence algorithms could be created to ensure telehealth image accuracy, stratify risk, and track patient progress. With teledermatology visits on the rise during the COVID-19 pandemic, AI algorithms could ensure that photographs of appropriate quality are taken. Also, patients could be organized by risk factors with such algorithms, allowing physicians to save time on triage and stratification. Algorithms also could be used to track a telehealth patient’s treatment and progress.8
Furthermore, there is a need for an algorithm that has the ability to detect, quantify, and monitor changes in dermatologic conditions using images that patients have uploaded. This capability will lead to creation of a standardized quantification scale that will allow physicians to virtually track the progression of visible skin pathologies.
Hazards of Racial Bias in AI
Artificial intelligence is limited by racial disparity bias seen in computerized medicine. For years, the majority of dermatology research, especially in skin cancer, has been conducted on fairer-skinned populations. This bias has existed at the expense of darker-skinned patients, whose skin conditions and symptoms present differently,9 and reflects directly in available data sets that can be used to develop AI algorithms. Because these data are inadequate to the task, AI might misdiagnose skin cancer in people of color or miss an existing condition entirely.10 Consequently, the higher rate of skin cancer mortality that is reported in people of color is likely to persist with the rise of AI in dermatology.11 A more representative database of imaged skin lesions needs to be utilized to create a diversely representative and applicable data set for AI algorithms.12
Benefits of Conversational Agents
Another method by which AI could be incorporated into dermatology is through what is known as a conversational agent (CA)—AI software that engages in a dialogue with users by interpreting their voice and replying to them through text, image, or voice.13 Conversational agents facilitate remote patient management, allow clinicians to focus on other functions, and aid in data collection.14 A 2014 study showed that patients were significantly more likely to disclose history and emotions when informed they were interacting with a CA than with a human clinician (P=.007).15 Such benefits could be invaluable in dermatology, where emotions and patient perceptions of skin conditions play into the treatment process.
However, some evidence showed that CAs cannot respond to patients’ statements in all circumstances.16 It also is unclear how well CAs recognize nuanced statements that might signal potential harm. This fits into the greater theme of a major problem with AI: the lack of a reliable response in all circumstances.13
Final Thoughts
The practical implementations of AI in dermatology are still being explored. Given the uncertainty surrounding the COVID-19 pandemic and the future of patient care, AI might serve as an important asset in assisting with the diagnosis and treatment of dermatologic conditions, physician productivity, and patient monitoring.
With the need to adapt to the given challenges associated with COVID-19, artificial intelligence (AI) serves as a potential tool in providing access to medical-based diagnosis in a novel way. Artificial intelligence is defined as intelligence harnessed by machines that have the ability to perform what is called cognitive thinking and to mimic the problem-solving abilities of the human mind. Virtual AI in dermatology entails neural network–based guidance that includes developing algorithms to detect skin pathology through photographs.1 To use AI in dermatology, recognition of visual patterns must be established to give diagnoses. These neural networks have been used to classify skin diseases, including cancer, actinic keratosis, and warts.2
AI for Skin Cancer
The use of AI to classify melanoma and nonmelanoma skin cancer has been studied extensively, including the following 2 research projects.
Convolutional Neural Network
In 2017, Stanford University published a study in which a deep-learning algorithm known as a convolutional neural network was used to classify skin lesions.3 The network was trained using a dataset of 129,450 clinical images of 2032 diseases. Its performance was compared to that of 21 board-certified dermatologists on biopsy-proven clinical images with 2 classifications of cases: (1) keratinocyte carcinoma as opposed to benign seborrheic keratosis and (2) malignant melanoma as opposed to benign nevi—the first representing the most common skin cancers, and the second, the deadliest skin cancers. The study showed that the machine could accurately identify and classify skin cancers compared to the work of board-certified dermatologists. The study did not include demographic information, which limits its external validity.3
Dermoscopic Image Classification
A 2019 study by Brinker and colleagues4 showed the superiority of automated dermoscopic melanoma image classifications compared to the work of board-certified dermatologists. For the study, 804 biopsy-proven images of melanoma and nevi (1:1 ratio) were randomly presented to dermatologists for their evaluation and recommended treatment (yielding 19,296 recommendations). The dermatologists classified the lesions with a sensitivity of 67.2% and specificity of 62.2%; the trained convolutional neural network attained both higher sensitivity (82.3%) and higher specificity (77.9%).4
Smartphone Diagnosis of Melanoma
An application of AI has been to use smartphone apps for the diagnosis of melanoma. The most utilized and novel algorithm-based smartphone app that assesses skin lesions for malignancy characteristics is SkinVision. With a simple download from Apple’s App Store, this technology allows a person to check their skin spots by taking a photograph and receiving algorithmic risk-assessment feedback. This inexpensive software ($51.78 a year) also allows a patient’s physician to assess the photograph and then validate their assessment by comparing it with the algorithmic analysis that the program provides.5
A review of SkinVision conducted by Thissen and colleagues6 found that, in a hypothetical population of 1000 adults of whom 3% actually had melanoma, 4 of those 30 people would not have been flagged as at “high risk” by SkinVision. There also was a high false-positive rate with the app, with more than 200 people flagged as at high risk. The analysis pegged SkinVision as having a sensitivity of 88% and specificity of 79%.6
In summary, systematic review of diagnostic accuracy has shown that, although there is accuracy in AI analyses, it should be used only as a guide for health care advice due to variability in algorithm performance.7
Utility of AI in Telehealth
Artificial intelligence algorithms could be created to ensure telehealth image accuracy, stratify risk, and track patient progress. With teledermatology visits on the rise during the COVID-19 pandemic, AI algorithms could ensure that photographs of appropriate quality are taken. Also, patients could be organized by risk factors with such algorithms, allowing physicians to save time on triage and stratification. Algorithms also could be used to track a telehealth patient’s treatment and progress.8
Furthermore, there is a need for an algorithm that has the ability to detect, quantify, and monitor changes in dermatologic conditions using images that patients have uploaded. This capability will lead to creation of a standardized quantification scale that will allow physicians to virtually track the progression of visible skin pathologies.
Hazards of Racial Bias in AI
Artificial intelligence is limited by racial disparity bias seen in computerized medicine. For years, the majority of dermatology research, especially in skin cancer, has been conducted on fairer-skinned populations. This bias has existed at the expense of darker-skinned patients, whose skin conditions and symptoms present differently,9 and reflects directly in available data sets that can be used to develop AI algorithms. Because these data are inadequate to the task, AI might misdiagnose skin cancer in people of color or miss an existing condition entirely.10 Consequently, the higher rate of skin cancer mortality that is reported in people of color is likely to persist with the rise of AI in dermatology.11 A more representative database of imaged skin lesions needs to be utilized to create a diversely representative and applicable data set for AI algorithms.12
Benefits of Conversational Agents
Another method by which AI could be incorporated into dermatology is through what is known as a conversational agent (CA)—AI software that engages in a dialogue with users by interpreting their voice and replying to them through text, image, or voice.13 Conversational agents facilitate remote patient management, allow clinicians to focus on other functions, and aid in data collection.14 A 2014 study showed that patients were significantly more likely to disclose history and emotions when informed they were interacting with a CA than with a human clinician (P=.007).15 Such benefits could be invaluable in dermatology, where emotions and patient perceptions of skin conditions play into the treatment process.
However, some evidence showed that CAs cannot respond to patients’ statements in all circumstances.16 It also is unclear how well CAs recognize nuanced statements that might signal potential harm. This fits into the greater theme of a major problem with AI: the lack of a reliable response in all circumstances.13
Final Thoughts
The practical implementations of AI in dermatology are still being explored. Given the uncertainty surrounding the COVID-19 pandemic and the future of patient care, AI might serve as an important asset in assisting with the diagnosis and treatment of dermatologic conditions, physician productivity, and patient monitoring.
- Amisha, Malik P, Pathania M, et al. Overview of artificial intelligence in medicine. J Family Med Prim Care. 2019;8:2328-2331. doi:10.4103/jfmpc.jfmpc_440_19
- Han SS, Kim MS, Lim W, et al. Classification of the clinical images for benign and malignant cutaneous tumors using a deep learning algorithm. J Invest Dermatol. 2018;138:1529-1538. doi:10.1016/j.jid.2018.01.028
- Esteva A, Kuprel B, Novoa RA, et al. Dermatologist-level classification of skin cancer with deep neural networks. Nature. 2017;542:115-118. doi:10.1038/nature21056
- Brinker TJ, Hekler A, Enk AH, et al. Deep neural networks are superior to dermatologists in melanoma image classification. Eur J Cancer. 2019;119:11-17. doi:10.1016/j.ejca.2019.05.023
- Regulated medical device for detecting skin cancer. SkinVision website. Accessed July 23, 2021. https://www.skinvision.com/hcp/
- Thissen M, Udrea A, Hacking M, et al. mHealth app for risk assessment of pigmented and nonpigmented skin lesions—a study on sensitivity and specificity in detecting malignancy. Telemed J E Health. 2017;23:948-954. doi:10.1089/tmj.2016.0259
- Freeman K, Dinnes J, Chuchu N, et al. Algorithm based smartphone apps to assess risk of skin cancer in adults: systematic review of diagnostic accuracy studies. BMJ. 2020;368:m127. doi:10.1136/bmj.m127
- Puri P, Comfere N, Pittelkow MR, et al. COVID-19: an opportunity to build dermatology’s digital future. Dermatol Ther. 2020;33:e14149. doi:10.1111/dth.14149
- Buster KJ, Stevens EI, Elmets CA. Dermatologic health disparities. Dermatol Clin. 2012;30:53-59,viii. doi:10.1016/j.det.2011.08.002
- Adamson AS, Smith A. Machine learning and health care disparities in dermatology. JAMA Dermatol. 2018;154:1247-1248. doi:10.1001/jamadermatol.2018.2348
- Agbai ON, Buster K, Sanchez M, et al. Skin cancer and photoprotection in people of color: a review and recommendations for physicians and the public. J Am Acad Dermatol. 2014;70:748-762. doi:S0190-9622(13)01296-6
- Alabdulkareem A. Artificial intelligence and dermatologists: friends or foes? J Dermatol Dermatolog Surg. 2019;23:57-60. doi:10.4103/jdds.jdds_19_19
- McGreevey JD 3rd, Hanson CW 3rd, Koppel R. Clinical, legal, and ethical aspects of artificial intelligence-assisted conversational agents in health care. JAMA. 2020;324:552-553. doi:10.1001/jama.2020.2724
- Piau A, Crissey R, Brechemier D, et al. A smartphone chatbot application to optimize monitoring of older patients with cancer. Int J Med Inform. 2019;128:18-23. doi:10.1016/j.ijmedinf.2019.05.013
- Lucas GM, Gratch J, King A, et al. It’s only a computer: virtual humans increase willingness to disclose. Comput Human Behav. 2014;37:94-100. https://doi.org/10.1016/j.chb.2014.04.043
- Miner AS, Milstein A, Schueller S, et al. Smartphone-based conversational agents and responses to questions about mental health, interpersonal violence, and physical health. JAMA Intern Med. 2016;176:619-625. doi:10.1001/jamainternmed.2016.0400
- Amisha, Malik P, Pathania M, et al. Overview of artificial intelligence in medicine. J Family Med Prim Care. 2019;8:2328-2331. doi:10.4103/jfmpc.jfmpc_440_19
- Han SS, Kim MS, Lim W, et al. Classification of the clinical images for benign and malignant cutaneous tumors using a deep learning algorithm. J Invest Dermatol. 2018;138:1529-1538. doi:10.1016/j.jid.2018.01.028
- Esteva A, Kuprel B, Novoa RA, et al. Dermatologist-level classification of skin cancer with deep neural networks. Nature. 2017;542:115-118. doi:10.1038/nature21056
- Brinker TJ, Hekler A, Enk AH, et al. Deep neural networks are superior to dermatologists in melanoma image classification. Eur J Cancer. 2019;119:11-17. doi:10.1016/j.ejca.2019.05.023
- Regulated medical device for detecting skin cancer. SkinVision website. Accessed July 23, 2021. https://www.skinvision.com/hcp/
- Thissen M, Udrea A, Hacking M, et al. mHealth app for risk assessment of pigmented and nonpigmented skin lesions—a study on sensitivity and specificity in detecting malignancy. Telemed J E Health. 2017;23:948-954. doi:10.1089/tmj.2016.0259
- Freeman K, Dinnes J, Chuchu N, et al. Algorithm based smartphone apps to assess risk of skin cancer in adults: systematic review of diagnostic accuracy studies. BMJ. 2020;368:m127. doi:10.1136/bmj.m127
- Puri P, Comfere N, Pittelkow MR, et al. COVID-19: an opportunity to build dermatology’s digital future. Dermatol Ther. 2020;33:e14149. doi:10.1111/dth.14149
- Buster KJ, Stevens EI, Elmets CA. Dermatologic health disparities. Dermatol Clin. 2012;30:53-59,viii. doi:10.1016/j.det.2011.08.002
- Adamson AS, Smith A. Machine learning and health care disparities in dermatology. JAMA Dermatol. 2018;154:1247-1248. doi:10.1001/jamadermatol.2018.2348
- Agbai ON, Buster K, Sanchez M, et al. Skin cancer and photoprotection in people of color: a review and recommendations for physicians and the public. J Am Acad Dermatol. 2014;70:748-762. doi:S0190-9622(13)01296-6
- Alabdulkareem A. Artificial intelligence and dermatologists: friends or foes? J Dermatol Dermatolog Surg. 2019;23:57-60. doi:10.4103/jdds.jdds_19_19
- McGreevey JD 3rd, Hanson CW 3rd, Koppel R. Clinical, legal, and ethical aspects of artificial intelligence-assisted conversational agents in health care. JAMA. 2020;324:552-553. doi:10.1001/jama.2020.2724
- Piau A, Crissey R, Brechemier D, et al. A smartphone chatbot application to optimize monitoring of older patients with cancer. Int J Med Inform. 2019;128:18-23. doi:10.1016/j.ijmedinf.2019.05.013
- Lucas GM, Gratch J, King A, et al. It’s only a computer: virtual humans increase willingness to disclose. Comput Human Behav. 2014;37:94-100. https://doi.org/10.1016/j.chb.2014.04.043
- Miner AS, Milstein A, Schueller S, et al. Smartphone-based conversational agents and responses to questions about mental health, interpersonal violence, and physical health. JAMA Intern Med. 2016;176:619-625. doi:10.1001/jamainternmed.2016.0400
Practice Points
- Dermatologists should amass pictures of dermatologic conditions in skin of color to contribute to growing awareness and knowledge of presentation of disease in this population.
- Dermatologists should use artificial intelligence as a tool for delivering more efficient and beneficial patient care.
One in three cancer articles on social media has wrong info
Of the 200 most popular articles (50 each for prostate, lung, breast, and colorectal cancer), about a third (32.5%, n = 65) contained misinformation.
Among these articles containing misinformation, 76.9% (50/65) contained harmful information.
“The Internet is a leading source of health misinformation,” the study authors wrote. This is “particularly true for social media, where false information spreads faster and more broadly than fact-checked information,” they said, citing other research.
“We need to address these issues head on,” said lead author Skyler Johnson, MD, of the University of Utah’s Huntsman Cancer Institute in Salt Lake City.
“As a medical community, we can’t ignore the problem of cancer misinformation on social media or ask our patients to ignore it. We must empathize with our patients and help them when they encounter this type of information,” he said in a statement. “My goal is to help answer their questions, and provide cancer patients with accurate information that will give them the best chance for the best outcome.”
The study was published online July 22 in the Journal of the National Cancer Institute.
The study period ran from 2018 to 2019, and looked at articles posted on social media platforms Facebook, Reddit, Twitter, or Pinterest. Popularity was measured by engagement with readers, such as upvotes, comments, reactions, and shares.
Some of the articles came from long-established news entities such as CBS News, The New York Times, and medical journals, while others came from fleeting crowdfunding web pages and fledging nontraditional news sites.
One example of popular and harmful misinformation highlighted by Dr. Johnson in an interview was titled, “44-Year-Old Mother Claims CBD Oil Cured Her of Breast Cancer within 5 Months.” Posted on truththeory.com in February 2018, the article is tagged as “opinion” by the publisher and in turn links to another news story about the same woman in the UK’s Daily Mail newspaper.
The ideas and claims in such articles can be very influential, Jennifer L. Lycette, MD, suggested in a recent blog post.
“After 18 years as a cancer doctor, it sadly doesn’t come as a surprise anymore when a patient declines treatment recommendations and instead opts for ‘alternative’ treatment,” she wrote.
Sometimes, misinformation is not sensational but is still effective via clever wording and presentation, observed Brian G. Southwell, PhD, of Duke University, Durham, N.C., who has studied patients and misinformation.
“It isn’t the falsehood that is somehow magically attractive, per se, but the way that misinformation is often framed that can make it attractive,” he said in an interview.
Dr. Southwell recommends that clinicians be proactive about medical misinformation.
“Rather than expect patients to raise concerns without prompting, health care providers should invite conversations about potential misinformation with their patients,” he wrote in a recent essay in the American Journal of Public Health.
In short, ask patients what they know about the treatment of their cancer, he suggests.
“Patients don’t typically know that the misinformation they are encountering is misinformation,” said Dr. Southwell. “Approaching patients with compassion and empathy is a good first step.”
Study details
For the study, reported by Johnson et al., two National Comprehensive Cancer Network panel members were selected as content experts for each of the four cancers and were tasked with reviewing the primary medical claims in each article. The experts then completed a set of ratings to arrive at the proportion of misinformation and potential for harm in each article.
Of the 200 articles, 41.5% were from nontraditional news (digital only), 37.5% were from traditional news sources (online versions of print and/or broadcast media), 17% were from medical journals, 3% were from a crowdfunding site, and 1% were from personal blogs.
This expert review concluded that nearly one-third of the articles contained misinformation, as noted above. The misinformation was described as misleading (title not supported by text or statistics/data do not support conclusion, 28.8%), strength of the evidence mischaracterized (weak evidence portrayed as strong or vice versa, 27.7%) and unproven therapies (not studied or insufficient evidence, 26.7%).
Notably, the median number of engagements, such as likes on Twitter, for articles with misinformation was greater than that of factual articles (median, 2,300 vs. 1,600; P = .05).
In total, 30.5% of all 200 articles contained harmful information. This was described as harmful inaction (could lead to delay or not seeking medical attention for treatable/curable condition, 31.0%), economic harm (out-of-pocket financial costs associated with treatment/travel, 27.7%), harmful action (potentially toxic effects of the suggested test/treatment, 17.0%), and harmful interactions (known/unknown medical interactions with curative therapies, 16.2%).
The median number of engagements for articles with harmful information was statistically significantly greater than that of articles with correct information (median, 2,300 vs. 1,500; P = .007).
A limitation of the study is that it included only the most popular English language cancer articles.
This study was funded in part by the Huntsman Cancer Institute. Dr. Johnson, Dr. Lycette, and Dr. Southwell have disclosed no relevant financial relationships. Some study authors have ties to the pharmaceutical industry.
A version of this article first appeared on Medscape.com.
Of the 200 most popular articles (50 each for prostate, lung, breast, and colorectal cancer), about a third (32.5%, n = 65) contained misinformation.
Among these articles containing misinformation, 76.9% (50/65) contained harmful information.
“The Internet is a leading source of health misinformation,” the study authors wrote. This is “particularly true for social media, where false information spreads faster and more broadly than fact-checked information,” they said, citing other research.
“We need to address these issues head on,” said lead author Skyler Johnson, MD, of the University of Utah’s Huntsman Cancer Institute in Salt Lake City.
“As a medical community, we can’t ignore the problem of cancer misinformation on social media or ask our patients to ignore it. We must empathize with our patients and help them when they encounter this type of information,” he said in a statement. “My goal is to help answer their questions, and provide cancer patients with accurate information that will give them the best chance for the best outcome.”
The study was published online July 22 in the Journal of the National Cancer Institute.
The study period ran from 2018 to 2019, and looked at articles posted on social media platforms Facebook, Reddit, Twitter, or Pinterest. Popularity was measured by engagement with readers, such as upvotes, comments, reactions, and shares.
Some of the articles came from long-established news entities such as CBS News, The New York Times, and medical journals, while others came from fleeting crowdfunding web pages and fledging nontraditional news sites.
One example of popular and harmful misinformation highlighted by Dr. Johnson in an interview was titled, “44-Year-Old Mother Claims CBD Oil Cured Her of Breast Cancer within 5 Months.” Posted on truththeory.com in February 2018, the article is tagged as “opinion” by the publisher and in turn links to another news story about the same woman in the UK’s Daily Mail newspaper.
The ideas and claims in such articles can be very influential, Jennifer L. Lycette, MD, suggested in a recent blog post.
“After 18 years as a cancer doctor, it sadly doesn’t come as a surprise anymore when a patient declines treatment recommendations and instead opts for ‘alternative’ treatment,” she wrote.
Sometimes, misinformation is not sensational but is still effective via clever wording and presentation, observed Brian G. Southwell, PhD, of Duke University, Durham, N.C., who has studied patients and misinformation.
“It isn’t the falsehood that is somehow magically attractive, per se, but the way that misinformation is often framed that can make it attractive,” he said in an interview.
Dr. Southwell recommends that clinicians be proactive about medical misinformation.
“Rather than expect patients to raise concerns without prompting, health care providers should invite conversations about potential misinformation with their patients,” he wrote in a recent essay in the American Journal of Public Health.
In short, ask patients what they know about the treatment of their cancer, he suggests.
“Patients don’t typically know that the misinformation they are encountering is misinformation,” said Dr. Southwell. “Approaching patients with compassion and empathy is a good first step.”
Study details
For the study, reported by Johnson et al., two National Comprehensive Cancer Network panel members were selected as content experts for each of the four cancers and were tasked with reviewing the primary medical claims in each article. The experts then completed a set of ratings to arrive at the proportion of misinformation and potential for harm in each article.
Of the 200 articles, 41.5% were from nontraditional news (digital only), 37.5% were from traditional news sources (online versions of print and/or broadcast media), 17% were from medical journals, 3% were from a crowdfunding site, and 1% were from personal blogs.
This expert review concluded that nearly one-third of the articles contained misinformation, as noted above. The misinformation was described as misleading (title not supported by text or statistics/data do not support conclusion, 28.8%), strength of the evidence mischaracterized (weak evidence portrayed as strong or vice versa, 27.7%) and unproven therapies (not studied or insufficient evidence, 26.7%).
Notably, the median number of engagements, such as likes on Twitter, for articles with misinformation was greater than that of factual articles (median, 2,300 vs. 1,600; P = .05).
In total, 30.5% of all 200 articles contained harmful information. This was described as harmful inaction (could lead to delay or not seeking medical attention for treatable/curable condition, 31.0%), economic harm (out-of-pocket financial costs associated with treatment/travel, 27.7%), harmful action (potentially toxic effects of the suggested test/treatment, 17.0%), and harmful interactions (known/unknown medical interactions with curative therapies, 16.2%).
The median number of engagements for articles with harmful information was statistically significantly greater than that of articles with correct information (median, 2,300 vs. 1,500; P = .007).
A limitation of the study is that it included only the most popular English language cancer articles.
This study was funded in part by the Huntsman Cancer Institute. Dr. Johnson, Dr. Lycette, and Dr. Southwell have disclosed no relevant financial relationships. Some study authors have ties to the pharmaceutical industry.
A version of this article first appeared on Medscape.com.
Of the 200 most popular articles (50 each for prostate, lung, breast, and colorectal cancer), about a third (32.5%, n = 65) contained misinformation.
Among these articles containing misinformation, 76.9% (50/65) contained harmful information.
“The Internet is a leading source of health misinformation,” the study authors wrote. This is “particularly true for social media, where false information spreads faster and more broadly than fact-checked information,” they said, citing other research.
“We need to address these issues head on,” said lead author Skyler Johnson, MD, of the University of Utah’s Huntsman Cancer Institute in Salt Lake City.
“As a medical community, we can’t ignore the problem of cancer misinformation on social media or ask our patients to ignore it. We must empathize with our patients and help them when they encounter this type of information,” he said in a statement. “My goal is to help answer their questions, and provide cancer patients with accurate information that will give them the best chance for the best outcome.”
The study was published online July 22 in the Journal of the National Cancer Institute.
The study period ran from 2018 to 2019, and looked at articles posted on social media platforms Facebook, Reddit, Twitter, or Pinterest. Popularity was measured by engagement with readers, such as upvotes, comments, reactions, and shares.
Some of the articles came from long-established news entities such as CBS News, The New York Times, and medical journals, while others came from fleeting crowdfunding web pages and fledging nontraditional news sites.
One example of popular and harmful misinformation highlighted by Dr. Johnson in an interview was titled, “44-Year-Old Mother Claims CBD Oil Cured Her of Breast Cancer within 5 Months.” Posted on truththeory.com in February 2018, the article is tagged as “opinion” by the publisher and in turn links to another news story about the same woman in the UK’s Daily Mail newspaper.
The ideas and claims in such articles can be very influential, Jennifer L. Lycette, MD, suggested in a recent blog post.
“After 18 years as a cancer doctor, it sadly doesn’t come as a surprise anymore when a patient declines treatment recommendations and instead opts for ‘alternative’ treatment,” she wrote.
Sometimes, misinformation is not sensational but is still effective via clever wording and presentation, observed Brian G. Southwell, PhD, of Duke University, Durham, N.C., who has studied patients and misinformation.
“It isn’t the falsehood that is somehow magically attractive, per se, but the way that misinformation is often framed that can make it attractive,” he said in an interview.
Dr. Southwell recommends that clinicians be proactive about medical misinformation.
“Rather than expect patients to raise concerns without prompting, health care providers should invite conversations about potential misinformation with their patients,” he wrote in a recent essay in the American Journal of Public Health.
In short, ask patients what they know about the treatment of their cancer, he suggests.
“Patients don’t typically know that the misinformation they are encountering is misinformation,” said Dr. Southwell. “Approaching patients with compassion and empathy is a good first step.”
Study details
For the study, reported by Johnson et al., two National Comprehensive Cancer Network panel members were selected as content experts for each of the four cancers and were tasked with reviewing the primary medical claims in each article. The experts then completed a set of ratings to arrive at the proportion of misinformation and potential for harm in each article.
Of the 200 articles, 41.5% were from nontraditional news (digital only), 37.5% were from traditional news sources (online versions of print and/or broadcast media), 17% were from medical journals, 3% were from a crowdfunding site, and 1% were from personal blogs.
This expert review concluded that nearly one-third of the articles contained misinformation, as noted above. The misinformation was described as misleading (title not supported by text or statistics/data do not support conclusion, 28.8%), strength of the evidence mischaracterized (weak evidence portrayed as strong or vice versa, 27.7%) and unproven therapies (not studied or insufficient evidence, 26.7%).
Notably, the median number of engagements, such as likes on Twitter, for articles with misinformation was greater than that of factual articles (median, 2,300 vs. 1,600; P = .05).
In total, 30.5% of all 200 articles contained harmful information. This was described as harmful inaction (could lead to delay or not seeking medical attention for treatable/curable condition, 31.0%), economic harm (out-of-pocket financial costs associated with treatment/travel, 27.7%), harmful action (potentially toxic effects of the suggested test/treatment, 17.0%), and harmful interactions (known/unknown medical interactions with curative therapies, 16.2%).
The median number of engagements for articles with harmful information was statistically significantly greater than that of articles with correct information (median, 2,300 vs. 1,500; P = .007).
A limitation of the study is that it included only the most popular English language cancer articles.
This study was funded in part by the Huntsman Cancer Institute. Dr. Johnson, Dr. Lycette, and Dr. Southwell have disclosed no relevant financial relationships. Some study authors have ties to the pharmaceutical industry.
A version of this article first appeared on Medscape.com.
When is MRI useful in the management of congenital melanocytic nevi?
When used for appropriate patients, results from a small multi-institutional study showed.
“The majority of congenital nevi are considered low risk for cutaneous and/or systemic complications,” Holly Neale said at the annual meeting of the Society for Pediatric Dermatology. “However, a subset of children born with higher-risk congenital nevi require close monitoring, as some features of congenital nevi have been associated with cutaneous melanoma, central nervous system melanoma, melanin in the brain or spine, and structural irregularities in the brain or spine. It’s important to understand which congenital nevi are considered higher risk in order to guide management and counseling decisions.”
One major management decision is to do a screening magnetic resonance image of the CNS to evaluate for neurologic involvement, said Ms. Neale, a fourth-year medical student at the University of Massachusetts, Worcester. Prior studies have shown that congenital nevi that are bigger than 20 cm, posterior axial location, and having more than one congenital nevus may predict CNS abnormalities, while recent guidelines from experts in the field suggest that any child with more than one congenital nevus at birth undergo screening MRI.
“However, guidelines are evolving, and more data is required to better understand the CNS abnormalities and patient outcomes for children with congenital nevi,” said Ms. Neale, who spent the past year as a pediatric dermatology research fellow at Massachusetts General Hospital, Boston.
To address this knowledge gap, she and colleagues at the University of Massachusetts, Massachusetts General Hospital, and Boston Children’s Hospital performed a retrospective chart review between Jan. 1, 2009, and Dec. 31, 2019, of individuals ages 18 and younger who had an MRI of the brain or spine with at least one dermatologist-diagnosed nevus as identified via key words in the medical record. Of the 909 patients screened, 46 met inclusion criteria, evenly split between males and females.
The most common location of the largest nevus was the trunk (in 41% of patients), followed by lesions that spanned multiple regions. More than one-third of patients had giant nevi (greater than 40 cm).
“The majority of images were considered nonconcerning, which includes normal, benign, or other findings such as trauma related, infectious, or orthopedic, which we did not classify as abnormal as it did not guide our study question,” Ms. Neale said. Specifically, 8% of spine images and 27% of brain images were considered “concerning,” defined as any finding that prompted further workup or monitoring, which includes findings concerning for melanin.
The most common brain finding was melanin (in eight children), and one child with brain melanin also had findings suggestive of melanin in the thoracic spine. The most common finding in spine MRIs was fatty filum (in four children), requiring intervention for tethering in only one individual. No cases of cutaneous melanoma developed during the study period, and only one patient with abnormal imaging had CNS melanoma, which was fatal.
All patients with findings suggestive of CNS melanin had more than four nevi present at birth, which is in line with current imaging screening guidelines. In addition, children with concerning imaging had higher rates of death, neurodevelopmental problems, seizures, and neurosurgery, compared with their counterparts with unremarkable imaging findings. Describing preliminary analyses, Ms. Neale said that a chi square analysis was performed to test statistical significance of these differences, “and neurosurgery was the only variable that children with concerning imaging were significantly more likely to experience, although sample size limits detection for the other variables.”
The authors concluded that MRI is a helpful tool when used in the appropriate clinical context for the management of congenital nevi. “As more children undergo imaging, we may discover more nonmelanin abnormalities,” she said.
Joseph M. Lam, MD, who was asked to comment on the study, said that the increased risk of CNS melanin in patients with larger lesions and in those with multiple lesions confirms previous reports.
“It is interesting to note that some patients with nonconcerning imaging results still had neurodevelopmental problems and seizures, albeit at a lower rate than those with concerning imaging results,” said Dr. Lam, a pediatric dermatologist at British Columbia Children’s Hospital, Vancouver. “The lack of a control group for comparison of rates of neurological sequelae, such as NDP, seizures and nonmelanin structural anomalies, limits the generalizability of the findings. However, this is a nice study that helps us understand better the CNS anomalies in CMN.”
Ms. Neale acknowledged certain limitations of the study, including the lack of a control group without CMN, the small number of patients, the potential for referral bias, and its retrospective design. Also, the proximity of the study period does not allow for chronic follow-up and detection of the development of melanoma or other problems in the future.
Ms. Neale and associates reported having no relevant financial disclosures. Dr. Lam disclosed that he has received speaker fees from Pierre Fabre.
When used for appropriate patients, results from a small multi-institutional study showed.
“The majority of congenital nevi are considered low risk for cutaneous and/or systemic complications,” Holly Neale said at the annual meeting of the Society for Pediatric Dermatology. “However, a subset of children born with higher-risk congenital nevi require close monitoring, as some features of congenital nevi have been associated with cutaneous melanoma, central nervous system melanoma, melanin in the brain or spine, and structural irregularities in the brain or spine. It’s important to understand which congenital nevi are considered higher risk in order to guide management and counseling decisions.”
One major management decision is to do a screening magnetic resonance image of the CNS to evaluate for neurologic involvement, said Ms. Neale, a fourth-year medical student at the University of Massachusetts, Worcester. Prior studies have shown that congenital nevi that are bigger than 20 cm, posterior axial location, and having more than one congenital nevus may predict CNS abnormalities, while recent guidelines from experts in the field suggest that any child with more than one congenital nevus at birth undergo screening MRI.
“However, guidelines are evolving, and more data is required to better understand the CNS abnormalities and patient outcomes for children with congenital nevi,” said Ms. Neale, who spent the past year as a pediatric dermatology research fellow at Massachusetts General Hospital, Boston.
To address this knowledge gap, she and colleagues at the University of Massachusetts, Massachusetts General Hospital, and Boston Children’s Hospital performed a retrospective chart review between Jan. 1, 2009, and Dec. 31, 2019, of individuals ages 18 and younger who had an MRI of the brain or spine with at least one dermatologist-diagnosed nevus as identified via key words in the medical record. Of the 909 patients screened, 46 met inclusion criteria, evenly split between males and females.
The most common location of the largest nevus was the trunk (in 41% of patients), followed by lesions that spanned multiple regions. More than one-third of patients had giant nevi (greater than 40 cm).
“The majority of images were considered nonconcerning, which includes normal, benign, or other findings such as trauma related, infectious, or orthopedic, which we did not classify as abnormal as it did not guide our study question,” Ms. Neale said. Specifically, 8% of spine images and 27% of brain images were considered “concerning,” defined as any finding that prompted further workup or monitoring, which includes findings concerning for melanin.
The most common brain finding was melanin (in eight children), and one child with brain melanin also had findings suggestive of melanin in the thoracic spine. The most common finding in spine MRIs was fatty filum (in four children), requiring intervention for tethering in only one individual. No cases of cutaneous melanoma developed during the study period, and only one patient with abnormal imaging had CNS melanoma, which was fatal.
All patients with findings suggestive of CNS melanin had more than four nevi present at birth, which is in line with current imaging screening guidelines. In addition, children with concerning imaging had higher rates of death, neurodevelopmental problems, seizures, and neurosurgery, compared with their counterparts with unremarkable imaging findings. Describing preliminary analyses, Ms. Neale said that a chi square analysis was performed to test statistical significance of these differences, “and neurosurgery was the only variable that children with concerning imaging were significantly more likely to experience, although sample size limits detection for the other variables.”
The authors concluded that MRI is a helpful tool when used in the appropriate clinical context for the management of congenital nevi. “As more children undergo imaging, we may discover more nonmelanin abnormalities,” she said.
Joseph M. Lam, MD, who was asked to comment on the study, said that the increased risk of CNS melanin in patients with larger lesions and in those with multiple lesions confirms previous reports.
“It is interesting to note that some patients with nonconcerning imaging results still had neurodevelopmental problems and seizures, albeit at a lower rate than those with concerning imaging results,” said Dr. Lam, a pediatric dermatologist at British Columbia Children’s Hospital, Vancouver. “The lack of a control group for comparison of rates of neurological sequelae, such as NDP, seizures and nonmelanin structural anomalies, limits the generalizability of the findings. However, this is a nice study that helps us understand better the CNS anomalies in CMN.”
Ms. Neale acknowledged certain limitations of the study, including the lack of a control group without CMN, the small number of patients, the potential for referral bias, and its retrospective design. Also, the proximity of the study period does not allow for chronic follow-up and detection of the development of melanoma or other problems in the future.
Ms. Neale and associates reported having no relevant financial disclosures. Dr. Lam disclosed that he has received speaker fees from Pierre Fabre.
When used for appropriate patients, results from a small multi-institutional study showed.
“The majority of congenital nevi are considered low risk for cutaneous and/or systemic complications,” Holly Neale said at the annual meeting of the Society for Pediatric Dermatology. “However, a subset of children born with higher-risk congenital nevi require close monitoring, as some features of congenital nevi have been associated with cutaneous melanoma, central nervous system melanoma, melanin in the brain or spine, and structural irregularities in the brain or spine. It’s important to understand which congenital nevi are considered higher risk in order to guide management and counseling decisions.”
One major management decision is to do a screening magnetic resonance image of the CNS to evaluate for neurologic involvement, said Ms. Neale, a fourth-year medical student at the University of Massachusetts, Worcester. Prior studies have shown that congenital nevi that are bigger than 20 cm, posterior axial location, and having more than one congenital nevus may predict CNS abnormalities, while recent guidelines from experts in the field suggest that any child with more than one congenital nevus at birth undergo screening MRI.
“However, guidelines are evolving, and more data is required to better understand the CNS abnormalities and patient outcomes for children with congenital nevi,” said Ms. Neale, who spent the past year as a pediatric dermatology research fellow at Massachusetts General Hospital, Boston.
To address this knowledge gap, she and colleagues at the University of Massachusetts, Massachusetts General Hospital, and Boston Children’s Hospital performed a retrospective chart review between Jan. 1, 2009, and Dec. 31, 2019, of individuals ages 18 and younger who had an MRI of the brain or spine with at least one dermatologist-diagnosed nevus as identified via key words in the medical record. Of the 909 patients screened, 46 met inclusion criteria, evenly split between males and females.
The most common location of the largest nevus was the trunk (in 41% of patients), followed by lesions that spanned multiple regions. More than one-third of patients had giant nevi (greater than 40 cm).
“The majority of images were considered nonconcerning, which includes normal, benign, or other findings such as trauma related, infectious, or orthopedic, which we did not classify as abnormal as it did not guide our study question,” Ms. Neale said. Specifically, 8% of spine images and 27% of brain images were considered “concerning,” defined as any finding that prompted further workup or monitoring, which includes findings concerning for melanin.
The most common brain finding was melanin (in eight children), and one child with brain melanin also had findings suggestive of melanin in the thoracic spine. The most common finding in spine MRIs was fatty filum (in four children), requiring intervention for tethering in only one individual. No cases of cutaneous melanoma developed during the study period, and only one patient with abnormal imaging had CNS melanoma, which was fatal.
All patients with findings suggestive of CNS melanin had more than four nevi present at birth, which is in line with current imaging screening guidelines. In addition, children with concerning imaging had higher rates of death, neurodevelopmental problems, seizures, and neurosurgery, compared with their counterparts with unremarkable imaging findings. Describing preliminary analyses, Ms. Neale said that a chi square analysis was performed to test statistical significance of these differences, “and neurosurgery was the only variable that children with concerning imaging were significantly more likely to experience, although sample size limits detection for the other variables.”
The authors concluded that MRI is a helpful tool when used in the appropriate clinical context for the management of congenital nevi. “As more children undergo imaging, we may discover more nonmelanin abnormalities,” she said.
Joseph M. Lam, MD, who was asked to comment on the study, said that the increased risk of CNS melanin in patients with larger lesions and in those with multiple lesions confirms previous reports.
“It is interesting to note that some patients with nonconcerning imaging results still had neurodevelopmental problems and seizures, albeit at a lower rate than those with concerning imaging results,” said Dr. Lam, a pediatric dermatologist at British Columbia Children’s Hospital, Vancouver. “The lack of a control group for comparison of rates of neurological sequelae, such as NDP, seizures and nonmelanin structural anomalies, limits the generalizability of the findings. However, this is a nice study that helps us understand better the CNS anomalies in CMN.”
Ms. Neale acknowledged certain limitations of the study, including the lack of a control group without CMN, the small number of patients, the potential for referral bias, and its retrospective design. Also, the proximity of the study period does not allow for chronic follow-up and detection of the development of melanoma or other problems in the future.
Ms. Neale and associates reported having no relevant financial disclosures. Dr. Lam disclosed that he has received speaker fees from Pierre Fabre.
FROM SPD 2021
Recent trend: Melanoma mortality declining rapidly
according to an annual report by several national organizations.
“Death rates for cutaneous melanoma have declined rapidly in recent years following introduction of new therapies, including targeted and immune checkpoint inhibitors, the first of which was approved by the [Food and Drug Administration] in early 2011,” Farhad Islami, MD, PhD, of the American Cancer Society, and associates wrote in the Journal of the National Cancer Institute.
The American Cancer Society, along with the Centers for Disease Control and Prevention, the National Cancer Institute, and the North American Association of Central Cancer Registries, issue a joint report each year to update the incidence and mortality of the most common cancers and analyze short- and long-term trends since 2001.
Long-term melanoma mortality gets divided into two trends: First a slow decline over about a decade, then an accelerated decline until the end of the study period, although the timing is slightly different between males and females. For men, the death rate fell by an average of 0.9% a year from 2001 to 2009, compared with 5.7% per year in 2013-2018. For women, the average annual change went from –0.3% for 2001-2012 to –4.4% in 2012-2018.
The incidence of melanoma, however, headed in the opposite direction, rising 1.9% per year for females and 2.2% for males from 2001 to 2017, without the notable change in trend seen with death rates, Dr. Islami and associates said.
Incidence by race/ethnicity, reported for 2013-2017, shows that melanoma is much more common among white non-Hispanics: 37.4 per 100,000 standard population for males and 24.5 for females. Non-Hispanic American Indians/Alaska Natives were next at 10.8 (men) and 6.7 (women), followed by Hispanics (5.1/4.5), non-Hispanic Asians/Pacific Islanders (1.6/1.3), and non-Hispanic Blacks (1.2/1.0), they reported.
Death rates for melanoma, reported for 2014-2018, follow a similar pattern. White males (4.2 per 100,000) and females (1.8 per 100,000) had the highest mortality, then American Indians/Alaska Natives (1.0/0.5) and Hispanics (0.9/0.5), but rates were the same for Blacks and Asians/Pacific Islanders (0.4/0.3), the investigators said.
The accelerated decline in death rates in more recent years reflects “a substantial increase in survival for metastatic melanoma,” the participating organizations noted in a joint statement.
Increases in 2-year survival in distant-stage disease averaged 3.1% per year for those diagnosed during 2009-2014, which “slightly preceded the FDA approval of new therapies, likely because of the administration of these therapies through clinical trials and the FDA expanded access programs prior to the approval,” Dr. Islami and associates wrote.
The 2-year relative survival for those with nonmetastatic melanoma also improved over the study period, but the increases were much smaller: 0.4% per year for regional-stage disease and just 0.03% localized-stage cases diagnosed in 2001-2014, they reported.
The report was funded by the four participating groups. Six of the 12 investigators are employees of the American Cancer Society whose salaries are solely paid by the society; the other authors had no conflicts of interest to disclose.
according to an annual report by several national organizations.
“Death rates for cutaneous melanoma have declined rapidly in recent years following introduction of new therapies, including targeted and immune checkpoint inhibitors, the first of which was approved by the [Food and Drug Administration] in early 2011,” Farhad Islami, MD, PhD, of the American Cancer Society, and associates wrote in the Journal of the National Cancer Institute.
The American Cancer Society, along with the Centers for Disease Control and Prevention, the National Cancer Institute, and the North American Association of Central Cancer Registries, issue a joint report each year to update the incidence and mortality of the most common cancers and analyze short- and long-term trends since 2001.
Long-term melanoma mortality gets divided into two trends: First a slow decline over about a decade, then an accelerated decline until the end of the study period, although the timing is slightly different between males and females. For men, the death rate fell by an average of 0.9% a year from 2001 to 2009, compared with 5.7% per year in 2013-2018. For women, the average annual change went from –0.3% for 2001-2012 to –4.4% in 2012-2018.
The incidence of melanoma, however, headed in the opposite direction, rising 1.9% per year for females and 2.2% for males from 2001 to 2017, without the notable change in trend seen with death rates, Dr. Islami and associates said.
Incidence by race/ethnicity, reported for 2013-2017, shows that melanoma is much more common among white non-Hispanics: 37.4 per 100,000 standard population for males and 24.5 for females. Non-Hispanic American Indians/Alaska Natives were next at 10.8 (men) and 6.7 (women), followed by Hispanics (5.1/4.5), non-Hispanic Asians/Pacific Islanders (1.6/1.3), and non-Hispanic Blacks (1.2/1.0), they reported.
Death rates for melanoma, reported for 2014-2018, follow a similar pattern. White males (4.2 per 100,000) and females (1.8 per 100,000) had the highest mortality, then American Indians/Alaska Natives (1.0/0.5) and Hispanics (0.9/0.5), but rates were the same for Blacks and Asians/Pacific Islanders (0.4/0.3), the investigators said.
The accelerated decline in death rates in more recent years reflects “a substantial increase in survival for metastatic melanoma,” the participating organizations noted in a joint statement.
Increases in 2-year survival in distant-stage disease averaged 3.1% per year for those diagnosed during 2009-2014, which “slightly preceded the FDA approval of new therapies, likely because of the administration of these therapies through clinical trials and the FDA expanded access programs prior to the approval,” Dr. Islami and associates wrote.
The 2-year relative survival for those with nonmetastatic melanoma also improved over the study period, but the increases were much smaller: 0.4% per year for regional-stage disease and just 0.03% localized-stage cases diagnosed in 2001-2014, they reported.
The report was funded by the four participating groups. Six of the 12 investigators are employees of the American Cancer Society whose salaries are solely paid by the society; the other authors had no conflicts of interest to disclose.
according to an annual report by several national organizations.
“Death rates for cutaneous melanoma have declined rapidly in recent years following introduction of new therapies, including targeted and immune checkpoint inhibitors, the first of which was approved by the [Food and Drug Administration] in early 2011,” Farhad Islami, MD, PhD, of the American Cancer Society, and associates wrote in the Journal of the National Cancer Institute.
The American Cancer Society, along with the Centers for Disease Control and Prevention, the National Cancer Institute, and the North American Association of Central Cancer Registries, issue a joint report each year to update the incidence and mortality of the most common cancers and analyze short- and long-term trends since 2001.
Long-term melanoma mortality gets divided into two trends: First a slow decline over about a decade, then an accelerated decline until the end of the study period, although the timing is slightly different between males and females. For men, the death rate fell by an average of 0.9% a year from 2001 to 2009, compared with 5.7% per year in 2013-2018. For women, the average annual change went from –0.3% for 2001-2012 to –4.4% in 2012-2018.
The incidence of melanoma, however, headed in the opposite direction, rising 1.9% per year for females and 2.2% for males from 2001 to 2017, without the notable change in trend seen with death rates, Dr. Islami and associates said.
Incidence by race/ethnicity, reported for 2013-2017, shows that melanoma is much more common among white non-Hispanics: 37.4 per 100,000 standard population for males and 24.5 for females. Non-Hispanic American Indians/Alaska Natives were next at 10.8 (men) and 6.7 (women), followed by Hispanics (5.1/4.5), non-Hispanic Asians/Pacific Islanders (1.6/1.3), and non-Hispanic Blacks (1.2/1.0), they reported.
Death rates for melanoma, reported for 2014-2018, follow a similar pattern. White males (4.2 per 100,000) and females (1.8 per 100,000) had the highest mortality, then American Indians/Alaska Natives (1.0/0.5) and Hispanics (0.9/0.5), but rates were the same for Blacks and Asians/Pacific Islanders (0.4/0.3), the investigators said.
The accelerated decline in death rates in more recent years reflects “a substantial increase in survival for metastatic melanoma,” the participating organizations noted in a joint statement.
Increases in 2-year survival in distant-stage disease averaged 3.1% per year for those diagnosed during 2009-2014, which “slightly preceded the FDA approval of new therapies, likely because of the administration of these therapies through clinical trials and the FDA expanded access programs prior to the approval,” Dr. Islami and associates wrote.
The 2-year relative survival for those with nonmetastatic melanoma also improved over the study period, but the increases were much smaller: 0.4% per year for regional-stage disease and just 0.03% localized-stage cases diagnosed in 2001-2014, they reported.
The report was funded by the four participating groups. Six of the 12 investigators are employees of the American Cancer Society whose salaries are solely paid by the society; the other authors had no conflicts of interest to disclose.
FROM THE JOURNAL OF THE NATIONAL CANCER INSTITUTE
Stop using Neutrogena and Aveeno spray sunscreen, J&J warns
Benzene is not an ingredient of sunscreen, and should not be present in these products. The levels detected were low and would not be expected to have an adverse effect on health, but the company says it is recalling the products anyway “out of an abundance of caution.”
The sunscreen products that have been recalled are:
- NEUTROGENA® Beach Defense® aerosol sunscreen.
- NEUTROGENA® Cool Dry Sport aerosol sunscreen.
- NEUTROGENA® Invisible Daily™ defense aerosol sunscreen.
- NEUTROGENA® Ultra Sheer® aerosol sunscreen.
- AVEENO® Protect + Refresh aerosol sunscreen.
These products were distributed nationwide through a variety of retail stores. Consumers should stop using these products and throw them away, the company said.
At the same time, it emphasized the importance of using alternative sunscreen products to protect the skin from excessive sun exposure, which can lead to skin cancer including melanoma.
Johnson & Johnson has launched an investigation into how benzene got into these products.
One of the company’s other spray sunscreen products, Neutrogena Wet Skin, was not included in the recall.
Recently, benzene was found in 78 widely-used sunscreen products in tests conducted by the online pharmacy and laboratory Valisure. Most of the products were aerosol sprays, and the company called on the Food and Drug Administration to recall them all.
That petition suggested that the finding of benzene was the result of contamination somewhere in the manufacturing process.
“This isn’t a sunscreen issue, it’s a manufacturing issue,” said Adam Friedman, MD, professor and chief of dermatology at George Washington University. “We don’t want those things to be blurred.”
There is a risk that people take away the wrong message from these findings.
“People already have ambivalence about sunscreen, and this is just going to make that worse,” Dr. Friedman said in an interview.
He pointed out that benzene is present in car exhaust, second-hand smoke, and elsewhere. Inhalation exposure has been the primary focus of toxicology investigations, as has exposure from things such as contaminated drinking water – not via topical application. “We don’t know how effectively [benzene] gets through the skin, if it gets absorbed systemically, and how that then behaves downstream,” he noted.
On the other hand, ultraviolet radiation is a well-established carcinogen. Avoiding an effective preventive measure such as sunscreen could prove more harmful than exposure to trace amounts of benzene, he said.
A version of this article first appeared on WebMD.com.
Benzene is not an ingredient of sunscreen, and should not be present in these products. The levels detected were low and would not be expected to have an adverse effect on health, but the company says it is recalling the products anyway “out of an abundance of caution.”
The sunscreen products that have been recalled are:
- NEUTROGENA® Beach Defense® aerosol sunscreen.
- NEUTROGENA® Cool Dry Sport aerosol sunscreen.
- NEUTROGENA® Invisible Daily™ defense aerosol sunscreen.
- NEUTROGENA® Ultra Sheer® aerosol sunscreen.
- AVEENO® Protect + Refresh aerosol sunscreen.
These products were distributed nationwide through a variety of retail stores. Consumers should stop using these products and throw them away, the company said.
At the same time, it emphasized the importance of using alternative sunscreen products to protect the skin from excessive sun exposure, which can lead to skin cancer including melanoma.
Johnson & Johnson has launched an investigation into how benzene got into these products.
One of the company’s other spray sunscreen products, Neutrogena Wet Skin, was not included in the recall.
Recently, benzene was found in 78 widely-used sunscreen products in tests conducted by the online pharmacy and laboratory Valisure. Most of the products were aerosol sprays, and the company called on the Food and Drug Administration to recall them all.
That petition suggested that the finding of benzene was the result of contamination somewhere in the manufacturing process.
“This isn’t a sunscreen issue, it’s a manufacturing issue,” said Adam Friedman, MD, professor and chief of dermatology at George Washington University. “We don’t want those things to be blurred.”
There is a risk that people take away the wrong message from these findings.
“People already have ambivalence about sunscreen, and this is just going to make that worse,” Dr. Friedman said in an interview.
He pointed out that benzene is present in car exhaust, second-hand smoke, and elsewhere. Inhalation exposure has been the primary focus of toxicology investigations, as has exposure from things such as contaminated drinking water – not via topical application. “We don’t know how effectively [benzene] gets through the skin, if it gets absorbed systemically, and how that then behaves downstream,” he noted.
On the other hand, ultraviolet radiation is a well-established carcinogen. Avoiding an effective preventive measure such as sunscreen could prove more harmful than exposure to trace amounts of benzene, he said.
A version of this article first appeared on WebMD.com.
Benzene is not an ingredient of sunscreen, and should not be present in these products. The levels detected were low and would not be expected to have an adverse effect on health, but the company says it is recalling the products anyway “out of an abundance of caution.”
The sunscreen products that have been recalled are:
- NEUTROGENA® Beach Defense® aerosol sunscreen.
- NEUTROGENA® Cool Dry Sport aerosol sunscreen.
- NEUTROGENA® Invisible Daily™ defense aerosol sunscreen.
- NEUTROGENA® Ultra Sheer® aerosol sunscreen.
- AVEENO® Protect + Refresh aerosol sunscreen.
These products were distributed nationwide through a variety of retail stores. Consumers should stop using these products and throw them away, the company said.
At the same time, it emphasized the importance of using alternative sunscreen products to protect the skin from excessive sun exposure, which can lead to skin cancer including melanoma.
Johnson & Johnson has launched an investigation into how benzene got into these products.
One of the company’s other spray sunscreen products, Neutrogena Wet Skin, was not included in the recall.
Recently, benzene was found in 78 widely-used sunscreen products in tests conducted by the online pharmacy and laboratory Valisure. Most of the products were aerosol sprays, and the company called on the Food and Drug Administration to recall them all.
That petition suggested that the finding of benzene was the result of contamination somewhere in the manufacturing process.
“This isn’t a sunscreen issue, it’s a manufacturing issue,” said Adam Friedman, MD, professor and chief of dermatology at George Washington University. “We don’t want those things to be blurred.”
There is a risk that people take away the wrong message from these findings.
“People already have ambivalence about sunscreen, and this is just going to make that worse,” Dr. Friedman said in an interview.
He pointed out that benzene is present in car exhaust, second-hand smoke, and elsewhere. Inhalation exposure has been the primary focus of toxicology investigations, as has exposure from things such as contaminated drinking water – not via topical application. “We don’t know how effectively [benzene] gets through the skin, if it gets absorbed systemically, and how that then behaves downstream,” he noted.
On the other hand, ultraviolet radiation is a well-established carcinogen. Avoiding an effective preventive measure such as sunscreen could prove more harmful than exposure to trace amounts of benzene, he said.
A version of this article first appeared on WebMD.com.
Cancer mortality continues to drop in females as breast cancer reversal looms
Overall cancer mortality in females continues to decrease in the United States, but “previous declining trends in death rates slowed” for breast cancer in recent years, according to an annual report by several national organizations.
The analysis of long-term trends in cancer death rates shows that a decline of 1.4% per year from 2001 to 2016 accelerated to 2.1% per year in 2016-2018, the American Cancer Society, Centers for Disease Control and Prevention, National Cancer Institute, and the North American Association of Central Cancer Registries said.
Decreases in overall cancer mortality were seen in females of all races and ethnic groups over the most recent 5-year period included in the report, 2014-2018, varying from –1.6% per year in both non-Hispanic Blacks and Whites to –0.9% for non-Hispanic American Indians/Alaska Natives (AI/ANs), Farhad Islami, MD, PhD, of the American Cancer Society, Atlanta, and associates said in the Journal of the National Cancer Institute.
Over those 5 years, death rates fell for 14 of the 20 most common cancers in females; increased for liver, uterus, brain, pancreas, and soft tissue including heart; and remained stable for cancers of the oral cavity/pharynx, they reported.
Breast cancer was among those that declined, but the rate of that decline has been slowing. Mortality declined by an average of 2.3% per year in 2003-2007, by 1.6% a year in 2007-2014, and by just 1.0% annually during 2014-2018, based on data from the National Center for Health Statistics’ National Vital Statistics System.
Mortality from all cancers in 2014-2018 was 133.5 deaths per 100,000 standard population, with the racial/ethnic gap ranging from 85.4 per 100,000 (non-Hispanic Asian/Pacific Islander) to 154.9 (non-Hispanic Black), Dr. Islami and associates said.
Melanoma had the largest decline in mortality over that period among the 20 most common cancers in females, falling by an average of 4.4% per year, with lung cancer next at 4.3%. Among those with increased death rates, uterine cancer saw the largest rise at 2.0% a year, the research team said.
The deaths caused by cancer of the uterus were most common in non-Hispanic Black females, 8.9 per 100,000 population, followed by non-Hispanic White (4.5), Hispanic (4.1), non-Hispanic AI/AN (4.0), and non-Hispanic Asian/Pacific Islander (3.3), they reported.
“Long-term increasing trends in uterine cancer death rates parallel trends in incidence, although death rates are increasing at a somewhat faster rate. Increasing uterine cancer incidence has been attributed to increasing obesity prevalence and decreased use of combined hormone replacement therapy,” Dr. Islami and associates pointed out.
Breast cancer deaths also were most common among Blacks in 2014-2018, occurring at a rate of 28.2 per 100,000, as were deaths from cancer of the cervix (3.4 per 100,000), while ovarian cancers deaths were highest in White females (7.1 per 100,000), the researchers noted.
The continuing racial and ethnic disparity “largely reflects a combination of multiple intertwined factors” of tumor biology, diagnosis, treatment, and systemic discrimination, they wrote, adding that Black persons “are more likely to have a higher exposure to some cancer risk factors and limited access to healthy food, safe places for physical activity, and evidence-based cancer preventive services.”
The report was funded by the four participating groups. Six of the 12 investigators are employees of the American Cancer Society whose salaries are solely paid by the society; the other authors had no conflicts of interest to disclose.
Overall cancer mortality in females continues to decrease in the United States, but “previous declining trends in death rates slowed” for breast cancer in recent years, according to an annual report by several national organizations.
The analysis of long-term trends in cancer death rates shows that a decline of 1.4% per year from 2001 to 2016 accelerated to 2.1% per year in 2016-2018, the American Cancer Society, Centers for Disease Control and Prevention, National Cancer Institute, and the North American Association of Central Cancer Registries said.
Decreases in overall cancer mortality were seen in females of all races and ethnic groups over the most recent 5-year period included in the report, 2014-2018, varying from –1.6% per year in both non-Hispanic Blacks and Whites to –0.9% for non-Hispanic American Indians/Alaska Natives (AI/ANs), Farhad Islami, MD, PhD, of the American Cancer Society, Atlanta, and associates said in the Journal of the National Cancer Institute.
Over those 5 years, death rates fell for 14 of the 20 most common cancers in females; increased for liver, uterus, brain, pancreas, and soft tissue including heart; and remained stable for cancers of the oral cavity/pharynx, they reported.
Breast cancer was among those that declined, but the rate of that decline has been slowing. Mortality declined by an average of 2.3% per year in 2003-2007, by 1.6% a year in 2007-2014, and by just 1.0% annually during 2014-2018, based on data from the National Center for Health Statistics’ National Vital Statistics System.
Mortality from all cancers in 2014-2018 was 133.5 deaths per 100,000 standard population, with the racial/ethnic gap ranging from 85.4 per 100,000 (non-Hispanic Asian/Pacific Islander) to 154.9 (non-Hispanic Black), Dr. Islami and associates said.
Melanoma had the largest decline in mortality over that period among the 20 most common cancers in females, falling by an average of 4.4% per year, with lung cancer next at 4.3%. Among those with increased death rates, uterine cancer saw the largest rise at 2.0% a year, the research team said.
The deaths caused by cancer of the uterus were most common in non-Hispanic Black females, 8.9 per 100,000 population, followed by non-Hispanic White (4.5), Hispanic (4.1), non-Hispanic AI/AN (4.0), and non-Hispanic Asian/Pacific Islander (3.3), they reported.
“Long-term increasing trends in uterine cancer death rates parallel trends in incidence, although death rates are increasing at a somewhat faster rate. Increasing uterine cancer incidence has been attributed to increasing obesity prevalence and decreased use of combined hormone replacement therapy,” Dr. Islami and associates pointed out.
Breast cancer deaths also were most common among Blacks in 2014-2018, occurring at a rate of 28.2 per 100,000, as were deaths from cancer of the cervix (3.4 per 100,000), while ovarian cancers deaths were highest in White females (7.1 per 100,000), the researchers noted.
The continuing racial and ethnic disparity “largely reflects a combination of multiple intertwined factors” of tumor biology, diagnosis, treatment, and systemic discrimination, they wrote, adding that Black persons “are more likely to have a higher exposure to some cancer risk factors and limited access to healthy food, safe places for physical activity, and evidence-based cancer preventive services.”
The report was funded by the four participating groups. Six of the 12 investigators are employees of the American Cancer Society whose salaries are solely paid by the society; the other authors had no conflicts of interest to disclose.
Overall cancer mortality in females continues to decrease in the United States, but “previous declining trends in death rates slowed” for breast cancer in recent years, according to an annual report by several national organizations.
The analysis of long-term trends in cancer death rates shows that a decline of 1.4% per year from 2001 to 2016 accelerated to 2.1% per year in 2016-2018, the American Cancer Society, Centers for Disease Control and Prevention, National Cancer Institute, and the North American Association of Central Cancer Registries said.
Decreases in overall cancer mortality were seen in females of all races and ethnic groups over the most recent 5-year period included in the report, 2014-2018, varying from –1.6% per year in both non-Hispanic Blacks and Whites to –0.9% for non-Hispanic American Indians/Alaska Natives (AI/ANs), Farhad Islami, MD, PhD, of the American Cancer Society, Atlanta, and associates said in the Journal of the National Cancer Institute.
Over those 5 years, death rates fell for 14 of the 20 most common cancers in females; increased for liver, uterus, brain, pancreas, and soft tissue including heart; and remained stable for cancers of the oral cavity/pharynx, they reported.
Breast cancer was among those that declined, but the rate of that decline has been slowing. Mortality declined by an average of 2.3% per year in 2003-2007, by 1.6% a year in 2007-2014, and by just 1.0% annually during 2014-2018, based on data from the National Center for Health Statistics’ National Vital Statistics System.
Mortality from all cancers in 2014-2018 was 133.5 deaths per 100,000 standard population, with the racial/ethnic gap ranging from 85.4 per 100,000 (non-Hispanic Asian/Pacific Islander) to 154.9 (non-Hispanic Black), Dr. Islami and associates said.
Melanoma had the largest decline in mortality over that period among the 20 most common cancers in females, falling by an average of 4.4% per year, with lung cancer next at 4.3%. Among those with increased death rates, uterine cancer saw the largest rise at 2.0% a year, the research team said.
The deaths caused by cancer of the uterus were most common in non-Hispanic Black females, 8.9 per 100,000 population, followed by non-Hispanic White (4.5), Hispanic (4.1), non-Hispanic AI/AN (4.0), and non-Hispanic Asian/Pacific Islander (3.3), they reported.
“Long-term increasing trends in uterine cancer death rates parallel trends in incidence, although death rates are increasing at a somewhat faster rate. Increasing uterine cancer incidence has been attributed to increasing obesity prevalence and decreased use of combined hormone replacement therapy,” Dr. Islami and associates pointed out.
Breast cancer deaths also were most common among Blacks in 2014-2018, occurring at a rate of 28.2 per 100,000, as were deaths from cancer of the cervix (3.4 per 100,000), while ovarian cancers deaths were highest in White females (7.1 per 100,000), the researchers noted.
The continuing racial and ethnic disparity “largely reflects a combination of multiple intertwined factors” of tumor biology, diagnosis, treatment, and systemic discrimination, they wrote, adding that Black persons “are more likely to have a higher exposure to some cancer risk factors and limited access to healthy food, safe places for physical activity, and evidence-based cancer preventive services.”
The report was funded by the four participating groups. Six of the 12 investigators are employees of the American Cancer Society whose salaries are solely paid by the society; the other authors had no conflicts of interest to disclose.
FROM THE JOURNAL OF THE NATIONAL CANCER INSTITUTE
Indoor tanning ICD-10 codes may be underused, study finds
according to a study presented at the annual meeting of the Society for Investigative Dermatology.
“Since indoor tanning ICD-10 codes were only recently universally implemented in 2015, and providers may still be using other codes that cover similar services, we think our data likely underestimate the number of encounters and sequelae associated with indoor tanning,” Alexandria M. Brown, BSA, of Baylor College of Medicine, Houston, said in her presentation. “We think increased usage of these indoor tanning exposure codes in coming years will strengthen this body of indoor tanning literature and data.”
Using insurance claims data on about 43 million patients from Truven Health MarketScan, Ms. Brown and colleagues analyzed patient encounters with ICD-10 indoor tanning codes W89.1, W89.1XXA, W89.1XXD, and W89.1XXS between 2016 and 2018 for about 43 million patients. Overall, there were 4,550 patient encounters where these codes had been recorded, with most (99%) occurring in an outpatient setting. The majority of providers at these encounters were dermatologists (72%). Patients were mostly women (85%); and most were ages 25-34 years (19.4%), 35-44 years (20.6%), 45-54 years (22.7%), and 55-64 years (19%). Almost 5% were 65 and over, 11.7% were ages 18-24, and 1.6% were under age 18.
The use of indoor tanning codes were most common in the Midwest (55 per 100,000 encounters with dermatologists), compared with 16 per 100,000 in the Northeast, 21 per 100,000 in the West, and 28 per 100,000 in the South. CPT codes for “destruction of a premalignant lesion” and “biopsy” were the most frequently used codes entered at visits where indoor tanning codes were also entered, and were present in 15.1% of encounters and 18.4% of encounters, respectively.
“This suggests that many of these encounters may have been for skin cancer surveillance and that indoor tanning exposure may have been coded as part of a patient’s skin cancer risk profile,” Ms. Brown noted.
The study shows how these codes are being used and could help determine health care use patterns for these patients as well as their comorbidities, behaviors, and risk factors, according to the authors, who believe this is the first study to look at the use of ICD-10 indoor tanning codes.
“Any effort to reduce indoor tanning requires knowledge of the population at risk. It has been shown that the ability to recognize and provide counseling to at-risk patients can improve sun protective behaviors and reduce indoor tanning,” Ms. Brown said. Claims databases can be a “valuable tool to better understand patients who have been exposed to indoor tanning and their associated risk factors, comorbidities, behaviors, and health care utilization.”
In an interview, Adam Friedman, MD, professor and chair of dermatology at George Washington University, Washington, said the study was interesting and “provides some guidance with respect to who, when, and where in the U.S. to target educational initiatives on the harms of tanning beds.”
Dr. Friedman, who was not involved with the research, agreed with the authors’ assertion that their study was underestimating the use of indoor tanning beds. “Using a large database provides the means to better generalize one’s dataset; however in this case, it relies on proper coding by the practitioner,” or even using the code for tanning bed use at all.
“There also could be some inherent bias given most of the cases for which the code was used was for skin cancer surveillance, and therefore tanning bed use was top of mind,” he said.
While he believes this study may not be most efficient way of determining demographics of at-risk individuals using tanning beds, Dr. Friedman said the results “should serve as the impetus to develop public health campaigns around this information, following which research can be conducted to evaluate if the intervention had an impact.”
Ms. Brown and Dr. Friedman reported no relevant financial disclosures.
according to a study presented at the annual meeting of the Society for Investigative Dermatology.
“Since indoor tanning ICD-10 codes were only recently universally implemented in 2015, and providers may still be using other codes that cover similar services, we think our data likely underestimate the number of encounters and sequelae associated with indoor tanning,” Alexandria M. Brown, BSA, of Baylor College of Medicine, Houston, said in her presentation. “We think increased usage of these indoor tanning exposure codes in coming years will strengthen this body of indoor tanning literature and data.”
Using insurance claims data on about 43 million patients from Truven Health MarketScan, Ms. Brown and colleagues analyzed patient encounters with ICD-10 indoor tanning codes W89.1, W89.1XXA, W89.1XXD, and W89.1XXS between 2016 and 2018 for about 43 million patients. Overall, there were 4,550 patient encounters where these codes had been recorded, with most (99%) occurring in an outpatient setting. The majority of providers at these encounters were dermatologists (72%). Patients were mostly women (85%); and most were ages 25-34 years (19.4%), 35-44 years (20.6%), 45-54 years (22.7%), and 55-64 years (19%). Almost 5% were 65 and over, 11.7% were ages 18-24, and 1.6% were under age 18.
The use of indoor tanning codes were most common in the Midwest (55 per 100,000 encounters with dermatologists), compared with 16 per 100,000 in the Northeast, 21 per 100,000 in the West, and 28 per 100,000 in the South. CPT codes for “destruction of a premalignant lesion” and “biopsy” were the most frequently used codes entered at visits where indoor tanning codes were also entered, and were present in 15.1% of encounters and 18.4% of encounters, respectively.
“This suggests that many of these encounters may have been for skin cancer surveillance and that indoor tanning exposure may have been coded as part of a patient’s skin cancer risk profile,” Ms. Brown noted.
The study shows how these codes are being used and could help determine health care use patterns for these patients as well as their comorbidities, behaviors, and risk factors, according to the authors, who believe this is the first study to look at the use of ICD-10 indoor tanning codes.
“Any effort to reduce indoor tanning requires knowledge of the population at risk. It has been shown that the ability to recognize and provide counseling to at-risk patients can improve sun protective behaviors and reduce indoor tanning,” Ms. Brown said. Claims databases can be a “valuable tool to better understand patients who have been exposed to indoor tanning and their associated risk factors, comorbidities, behaviors, and health care utilization.”
In an interview, Adam Friedman, MD, professor and chair of dermatology at George Washington University, Washington, said the study was interesting and “provides some guidance with respect to who, when, and where in the U.S. to target educational initiatives on the harms of tanning beds.”
Dr. Friedman, who was not involved with the research, agreed with the authors’ assertion that their study was underestimating the use of indoor tanning beds. “Using a large database provides the means to better generalize one’s dataset; however in this case, it relies on proper coding by the practitioner,” or even using the code for tanning bed use at all.
“There also could be some inherent bias given most of the cases for which the code was used was for skin cancer surveillance, and therefore tanning bed use was top of mind,” he said.
While he believes this study may not be most efficient way of determining demographics of at-risk individuals using tanning beds, Dr. Friedman said the results “should serve as the impetus to develop public health campaigns around this information, following which research can be conducted to evaluate if the intervention had an impact.”
Ms. Brown and Dr. Friedman reported no relevant financial disclosures.
according to a study presented at the annual meeting of the Society for Investigative Dermatology.
“Since indoor tanning ICD-10 codes were only recently universally implemented in 2015, and providers may still be using other codes that cover similar services, we think our data likely underestimate the number of encounters and sequelae associated with indoor tanning,” Alexandria M. Brown, BSA, of Baylor College of Medicine, Houston, said in her presentation. “We think increased usage of these indoor tanning exposure codes in coming years will strengthen this body of indoor tanning literature and data.”
Using insurance claims data on about 43 million patients from Truven Health MarketScan, Ms. Brown and colleagues analyzed patient encounters with ICD-10 indoor tanning codes W89.1, W89.1XXA, W89.1XXD, and W89.1XXS between 2016 and 2018 for about 43 million patients. Overall, there were 4,550 patient encounters where these codes had been recorded, with most (99%) occurring in an outpatient setting. The majority of providers at these encounters were dermatologists (72%). Patients were mostly women (85%); and most were ages 25-34 years (19.4%), 35-44 years (20.6%), 45-54 years (22.7%), and 55-64 years (19%). Almost 5% were 65 and over, 11.7% were ages 18-24, and 1.6% were under age 18.
The use of indoor tanning codes were most common in the Midwest (55 per 100,000 encounters with dermatologists), compared with 16 per 100,000 in the Northeast, 21 per 100,000 in the West, and 28 per 100,000 in the South. CPT codes for “destruction of a premalignant lesion” and “biopsy” were the most frequently used codes entered at visits where indoor tanning codes were also entered, and were present in 15.1% of encounters and 18.4% of encounters, respectively.
“This suggests that many of these encounters may have been for skin cancer surveillance and that indoor tanning exposure may have been coded as part of a patient’s skin cancer risk profile,” Ms. Brown noted.
The study shows how these codes are being used and could help determine health care use patterns for these patients as well as their comorbidities, behaviors, and risk factors, according to the authors, who believe this is the first study to look at the use of ICD-10 indoor tanning codes.
“Any effort to reduce indoor tanning requires knowledge of the population at risk. It has been shown that the ability to recognize and provide counseling to at-risk patients can improve sun protective behaviors and reduce indoor tanning,” Ms. Brown said. Claims databases can be a “valuable tool to better understand patients who have been exposed to indoor tanning and their associated risk factors, comorbidities, behaviors, and health care utilization.”
In an interview, Adam Friedman, MD, professor and chair of dermatology at George Washington University, Washington, said the study was interesting and “provides some guidance with respect to who, when, and where in the U.S. to target educational initiatives on the harms of tanning beds.”
Dr. Friedman, who was not involved with the research, agreed with the authors’ assertion that their study was underestimating the use of indoor tanning beds. “Using a large database provides the means to better generalize one’s dataset; however in this case, it relies on proper coding by the practitioner,” or even using the code for tanning bed use at all.
“There also could be some inherent bias given most of the cases for which the code was used was for skin cancer surveillance, and therefore tanning bed use was top of mind,” he said.
While he believes this study may not be most efficient way of determining demographics of at-risk individuals using tanning beds, Dr. Friedman said the results “should serve as the impetus to develop public health campaigns around this information, following which research can be conducted to evaluate if the intervention had an impact.”
Ms. Brown and Dr. Friedman reported no relevant financial disclosures.
FROM SID 2021
Rate of cutaneous toxicities from ICIs may be lower than previously reported
A , according to research presented at the annual meeting of the Society for Investigative Dermatology, held virtually.
What’s more, many of the cutaneous immune-related adverse events (irAEs) from immune checkpoint inhibitors (ICIs) observed in the study may be unreported in clinical trial settings and by providers, according to one of the investigators, Yevgeniy Semenov, MD, MA, a dermatologist at Massachusetts General Hospital, Boston.
“Most cutaneous irAEs are low grade and might go unreported outside of clinical trial settings, as patients might not seek medical care, or when they do, providers might not report them in patient charts. As a result, the diagnoses identified in this study likely represent the most clinically relevant cutaneous events in the ICI population,” said Dr. Semenov, who presented the results at the meeting.
In the study, he said that one of the first issues he and his colleagues encountered was how to classify cutaneous irAEs, as they “can vary widely in morphology and severity.” Immune-related adverse events from ICIs are a “unique constellation of inflammatory toxicities,” affecting nearly every organ system, and may require treatment with immunosuppressive agents that can impact the effectiveness of the ICI. The matter is further complicated by a “lack of definitional standards of what constitutes a cutaneous immune-related adverse event, which greatly limits the research in this area,” Dr. Semenov said. There is also potential for misdiagnosis of irAEs as cutaneous eruptions occurring in patients receiving ICI therapy because of failure to account for the presence of skin disease at baseline, he pointed out.
Dr. Semenov noted that more than 40 cutaneous eruptions have been associated with ICI treatment. “Much of the observational data on cutaneous immune-related adverse events has been riddled with case reports and case series of cutaneous events that happen to be occurring in the setting of ICI therapy. These lack rigorous control groups and often associate events with little to no relationship to the actual ICI, which may have instead occurred in the setting of a competing medication,” he explained.
Real-world data
The researchers thus sought to identify the real-world incidence of cutaneous irAEs with population-level data. Using data from a national claims insurance database from January 2011 through 2019, they compared 8,637 of patients with cancer, treated with an ICI (who had not been treated with other cancer treatments within 6 months of starting an ICI) with 8,637 patients with cancer who were not treated with an ICI, matched for demographics, primary cancer type, and Charlson Comorbidity Index (CCI) score.
In both groups, the mean age of the patients was 67.5 years, 59.2% were men, and 93% had a severe CCI score. The most common cancer types were lung cancer (40%), melanoma (26.6%), and renal cell carcinoma (12.3%). The median follow-up time was 1.9 years, and the median treatment duration was 2.0 years.
Dr. Semenov and colleagues selected 42 dermatoses reported in the literature to evaluate and found an overall incidence of 25% within 2 years of starting ICI therapy. Of those 42 dermatoses, there were 10 with a significantly higher incidence among patients receiving ICIs, compared with controls: drug eruption or other nonspecific eruption (4.2%; incidence rate ratio, 5.00), bullous pemphigoid (0.3%; IRR, 4.91), maculopapular eruption (0.9%; IRR, 4.75), vitiligo (0.7%; IRR, 3.79), Grover’s disease (0.2%; IRR, 3.43), rash and other nonspecific eruption (9.0%; IRR, 2.34), mucositis (1.5%; IRR, 2.33), pruritus (4.8%; IRR, 1.92), lichen planus (0.5%; IRR, 1.75), and erythroderma (1.1%; IRR, 1.70).
After adjusting for a baseline history of squamous cell carcinoma and actinic keratosis, the researchers found that both were significantly less likely in patients receiving ICIs.
A delay in presentation of any cutaneous irAE after starting ICI therapy was also observed (a median of 16.1 weeks), which Dr. Semenov noted was longer than the 5 weeks reported in clinical trials. This delay in presentation increased to a median of 37.5 weeks for the 10 dermatoses with a significantly higher incidence among patients receiving ICIs, with 17.6% of patients presenting in the first month, 63.1% presenting by 6 months, and 84.6% presenting by 1 year.
Use of immunosuppressive treatment
The researchers also examined use of systemic immunosuppression for treating cutaneous toxicities, defined as “a new prescription for systemic glucocorticoids greater than 10 mg per day, prednisone equivalent, or nonsteroidal systemic immunosuppression,” administered within 7 days of the diagnosis of the cutaneous event. They found that 5% of patients overall received systemic immunosuppressive treatment within 7 days of a cutaneous event, which was “at the higher end of what was reported in clinical trials for the treatment of cutaneous toxicities,” Dr. Semenov noted.
“This is likely the result of the delays in diagnosis in nonclinical trial settings ... allowing more time for these events to progress to a higher grade. Also, there may be a greater willingness by providers to initiate systemic immunosuppression due to less stringent treatment protocols in real-world clinical settings,” he said.
Using a multivariable risk prediction model for cutaneous toxicities, the researchers identified use of ipilimumab, a CTLA-4-blocking antibody, as having a protective effect for not developing a cutaneous irAE, compared with the PD-1 blocker pembrolizumab (odds ratio, 0.78; 95% confidence interval, 0.62-0.98; P < .01). But combination ICI therapy (OR, 1.53; 95% CI, 1.25-1.88; P < .001), a melanoma diagnosis (OR, 2.47; 95% CI, 2.11-2.89; P < .001), and a renal cell carcinoma diagnosis (OR, 1.65; 95% CI, 1.36-2.00; P < .001) were found to be risk factors for developing cutaneous irAEs.
“The protective effect of ipilimumab identified in the study is interesting, as historically ipilimumab has been more likely to cause cutaneous toxicities,” Dr. Semenov said. “However, we believe that the majority of this association is mediated by the melanoma, for which ipilimumab was primarily used since its introduction. Independent of this relationship, it seems to be less likely to cause cutaneous toxicity than PD-1 inhibition, according to this data.”
Based on their findings, he said, “dermatologists can utilize this information to facilitate evaluations of high-risk patients so they can take steps to prevent progression to more severe toxicities and reduce reliance or systemic immunosuppression.”
The 25% real-world incidence of cutaneous irAEs observed in the study, Dr. Semenov said, is “somewhat lower than previous clinical trial estimates of over one-third of patients presenting with cutaneous toxicities” but he added that previous estimates were based primarily on studies of patients with melanoma.
That some patients delayed presentation with these conditions “should revise clinicians’ understanding of when to expect patients to present with these toxicities, and not to rule out a delayed onset of symptoms as being unrelated to immunotherapy,” Dr. Semenov said.
Most cutaneous irAEs are ‘manageable’
In an interview, Naiara Braghiroli, MD, PhD, a dermatologist at Baptist Health’s Miami Cancer Institute, Plantation, Fla., who was not an investigator in the study, noted that over the last decade, ICIs have “revolutionized the treatment of metastatic melanoma” and, more recently, the treatment of nonmelanoma skin cancers, with regard to survival rates and side effects.
She said that the results of the study show that “most of the cutaneous side effects are manageable with very few exceptions, like the cutaneous bullous disorders and rarely, more serious reactions [such as] Stevens-Johnson syndrome.”
The majority of the side effects are treatable “and when well controlled, the patient can have a good quality of life” during treatment, she added.
For future research, Dr. Braghiroli noted, it would be interesting to know more about whether the development of any specific cutaneous reaction associated with ICIs “is associated with a higher chance of good antitumor response,” as seen with other anticancer therapies such as epidermal growth factor receptor inhibitors.
Dr. Semenov and Dr. Braghiroli report having no relevant financial disclosures.
A , according to research presented at the annual meeting of the Society for Investigative Dermatology, held virtually.
What’s more, many of the cutaneous immune-related adverse events (irAEs) from immune checkpoint inhibitors (ICIs) observed in the study may be unreported in clinical trial settings and by providers, according to one of the investigators, Yevgeniy Semenov, MD, MA, a dermatologist at Massachusetts General Hospital, Boston.
“Most cutaneous irAEs are low grade and might go unreported outside of clinical trial settings, as patients might not seek medical care, or when they do, providers might not report them in patient charts. As a result, the diagnoses identified in this study likely represent the most clinically relevant cutaneous events in the ICI population,” said Dr. Semenov, who presented the results at the meeting.
In the study, he said that one of the first issues he and his colleagues encountered was how to classify cutaneous irAEs, as they “can vary widely in morphology and severity.” Immune-related adverse events from ICIs are a “unique constellation of inflammatory toxicities,” affecting nearly every organ system, and may require treatment with immunosuppressive agents that can impact the effectiveness of the ICI. The matter is further complicated by a “lack of definitional standards of what constitutes a cutaneous immune-related adverse event, which greatly limits the research in this area,” Dr. Semenov said. There is also potential for misdiagnosis of irAEs as cutaneous eruptions occurring in patients receiving ICI therapy because of failure to account for the presence of skin disease at baseline, he pointed out.
Dr. Semenov noted that more than 40 cutaneous eruptions have been associated with ICI treatment. “Much of the observational data on cutaneous immune-related adverse events has been riddled with case reports and case series of cutaneous events that happen to be occurring in the setting of ICI therapy. These lack rigorous control groups and often associate events with little to no relationship to the actual ICI, which may have instead occurred in the setting of a competing medication,” he explained.
Real-world data
The researchers thus sought to identify the real-world incidence of cutaneous irAEs with population-level data. Using data from a national claims insurance database from January 2011 through 2019, they compared 8,637 of patients with cancer, treated with an ICI (who had not been treated with other cancer treatments within 6 months of starting an ICI) with 8,637 patients with cancer who were not treated with an ICI, matched for demographics, primary cancer type, and Charlson Comorbidity Index (CCI) score.
In both groups, the mean age of the patients was 67.5 years, 59.2% were men, and 93% had a severe CCI score. The most common cancer types were lung cancer (40%), melanoma (26.6%), and renal cell carcinoma (12.3%). The median follow-up time was 1.9 years, and the median treatment duration was 2.0 years.
Dr. Semenov and colleagues selected 42 dermatoses reported in the literature to evaluate and found an overall incidence of 25% within 2 years of starting ICI therapy. Of those 42 dermatoses, there were 10 with a significantly higher incidence among patients receiving ICIs, compared with controls: drug eruption or other nonspecific eruption (4.2%; incidence rate ratio, 5.00), bullous pemphigoid (0.3%; IRR, 4.91), maculopapular eruption (0.9%; IRR, 4.75), vitiligo (0.7%; IRR, 3.79), Grover’s disease (0.2%; IRR, 3.43), rash and other nonspecific eruption (9.0%; IRR, 2.34), mucositis (1.5%; IRR, 2.33), pruritus (4.8%; IRR, 1.92), lichen planus (0.5%; IRR, 1.75), and erythroderma (1.1%; IRR, 1.70).
After adjusting for a baseline history of squamous cell carcinoma and actinic keratosis, the researchers found that both were significantly less likely in patients receiving ICIs.
A delay in presentation of any cutaneous irAE after starting ICI therapy was also observed (a median of 16.1 weeks), which Dr. Semenov noted was longer than the 5 weeks reported in clinical trials. This delay in presentation increased to a median of 37.5 weeks for the 10 dermatoses with a significantly higher incidence among patients receiving ICIs, with 17.6% of patients presenting in the first month, 63.1% presenting by 6 months, and 84.6% presenting by 1 year.
Use of immunosuppressive treatment
The researchers also examined use of systemic immunosuppression for treating cutaneous toxicities, defined as “a new prescription for systemic glucocorticoids greater than 10 mg per day, prednisone equivalent, or nonsteroidal systemic immunosuppression,” administered within 7 days of the diagnosis of the cutaneous event. They found that 5% of patients overall received systemic immunosuppressive treatment within 7 days of a cutaneous event, which was “at the higher end of what was reported in clinical trials for the treatment of cutaneous toxicities,” Dr. Semenov noted.
“This is likely the result of the delays in diagnosis in nonclinical trial settings ... allowing more time for these events to progress to a higher grade. Also, there may be a greater willingness by providers to initiate systemic immunosuppression due to less stringent treatment protocols in real-world clinical settings,” he said.
Using a multivariable risk prediction model for cutaneous toxicities, the researchers identified use of ipilimumab, a CTLA-4-blocking antibody, as having a protective effect for not developing a cutaneous irAE, compared with the PD-1 blocker pembrolizumab (odds ratio, 0.78; 95% confidence interval, 0.62-0.98; P < .01). But combination ICI therapy (OR, 1.53; 95% CI, 1.25-1.88; P < .001), a melanoma diagnosis (OR, 2.47; 95% CI, 2.11-2.89; P < .001), and a renal cell carcinoma diagnosis (OR, 1.65; 95% CI, 1.36-2.00; P < .001) were found to be risk factors for developing cutaneous irAEs.
“The protective effect of ipilimumab identified in the study is interesting, as historically ipilimumab has been more likely to cause cutaneous toxicities,” Dr. Semenov said. “However, we believe that the majority of this association is mediated by the melanoma, for which ipilimumab was primarily used since its introduction. Independent of this relationship, it seems to be less likely to cause cutaneous toxicity than PD-1 inhibition, according to this data.”
Based on their findings, he said, “dermatologists can utilize this information to facilitate evaluations of high-risk patients so they can take steps to prevent progression to more severe toxicities and reduce reliance or systemic immunosuppression.”
The 25% real-world incidence of cutaneous irAEs observed in the study, Dr. Semenov said, is “somewhat lower than previous clinical trial estimates of over one-third of patients presenting with cutaneous toxicities” but he added that previous estimates were based primarily on studies of patients with melanoma.
That some patients delayed presentation with these conditions “should revise clinicians’ understanding of when to expect patients to present with these toxicities, and not to rule out a delayed onset of symptoms as being unrelated to immunotherapy,” Dr. Semenov said.
Most cutaneous irAEs are ‘manageable’
In an interview, Naiara Braghiroli, MD, PhD, a dermatologist at Baptist Health’s Miami Cancer Institute, Plantation, Fla., who was not an investigator in the study, noted that over the last decade, ICIs have “revolutionized the treatment of metastatic melanoma” and, more recently, the treatment of nonmelanoma skin cancers, with regard to survival rates and side effects.
She said that the results of the study show that “most of the cutaneous side effects are manageable with very few exceptions, like the cutaneous bullous disorders and rarely, more serious reactions [such as] Stevens-Johnson syndrome.”
The majority of the side effects are treatable “and when well controlled, the patient can have a good quality of life” during treatment, she added.
For future research, Dr. Braghiroli noted, it would be interesting to know more about whether the development of any specific cutaneous reaction associated with ICIs “is associated with a higher chance of good antitumor response,” as seen with other anticancer therapies such as epidermal growth factor receptor inhibitors.
Dr. Semenov and Dr. Braghiroli report having no relevant financial disclosures.
A , according to research presented at the annual meeting of the Society for Investigative Dermatology, held virtually.
What’s more, many of the cutaneous immune-related adverse events (irAEs) from immune checkpoint inhibitors (ICIs) observed in the study may be unreported in clinical trial settings and by providers, according to one of the investigators, Yevgeniy Semenov, MD, MA, a dermatologist at Massachusetts General Hospital, Boston.
“Most cutaneous irAEs are low grade and might go unreported outside of clinical trial settings, as patients might not seek medical care, or when they do, providers might not report them in patient charts. As a result, the diagnoses identified in this study likely represent the most clinically relevant cutaneous events in the ICI population,” said Dr. Semenov, who presented the results at the meeting.
In the study, he said that one of the first issues he and his colleagues encountered was how to classify cutaneous irAEs, as they “can vary widely in morphology and severity.” Immune-related adverse events from ICIs are a “unique constellation of inflammatory toxicities,” affecting nearly every organ system, and may require treatment with immunosuppressive agents that can impact the effectiveness of the ICI. The matter is further complicated by a “lack of definitional standards of what constitutes a cutaneous immune-related adverse event, which greatly limits the research in this area,” Dr. Semenov said. There is also potential for misdiagnosis of irAEs as cutaneous eruptions occurring in patients receiving ICI therapy because of failure to account for the presence of skin disease at baseline, he pointed out.
Dr. Semenov noted that more than 40 cutaneous eruptions have been associated with ICI treatment. “Much of the observational data on cutaneous immune-related adverse events has been riddled with case reports and case series of cutaneous events that happen to be occurring in the setting of ICI therapy. These lack rigorous control groups and often associate events with little to no relationship to the actual ICI, which may have instead occurred in the setting of a competing medication,” he explained.
Real-world data
The researchers thus sought to identify the real-world incidence of cutaneous irAEs with population-level data. Using data from a national claims insurance database from January 2011 through 2019, they compared 8,637 of patients with cancer, treated with an ICI (who had not been treated with other cancer treatments within 6 months of starting an ICI) with 8,637 patients with cancer who were not treated with an ICI, matched for demographics, primary cancer type, and Charlson Comorbidity Index (CCI) score.
In both groups, the mean age of the patients was 67.5 years, 59.2% were men, and 93% had a severe CCI score. The most common cancer types were lung cancer (40%), melanoma (26.6%), and renal cell carcinoma (12.3%). The median follow-up time was 1.9 years, and the median treatment duration was 2.0 years.
Dr. Semenov and colleagues selected 42 dermatoses reported in the literature to evaluate and found an overall incidence of 25% within 2 years of starting ICI therapy. Of those 42 dermatoses, there were 10 with a significantly higher incidence among patients receiving ICIs, compared with controls: drug eruption or other nonspecific eruption (4.2%; incidence rate ratio, 5.00), bullous pemphigoid (0.3%; IRR, 4.91), maculopapular eruption (0.9%; IRR, 4.75), vitiligo (0.7%; IRR, 3.79), Grover’s disease (0.2%; IRR, 3.43), rash and other nonspecific eruption (9.0%; IRR, 2.34), mucositis (1.5%; IRR, 2.33), pruritus (4.8%; IRR, 1.92), lichen planus (0.5%; IRR, 1.75), and erythroderma (1.1%; IRR, 1.70).
After adjusting for a baseline history of squamous cell carcinoma and actinic keratosis, the researchers found that both were significantly less likely in patients receiving ICIs.
A delay in presentation of any cutaneous irAE after starting ICI therapy was also observed (a median of 16.1 weeks), which Dr. Semenov noted was longer than the 5 weeks reported in clinical trials. This delay in presentation increased to a median of 37.5 weeks for the 10 dermatoses with a significantly higher incidence among patients receiving ICIs, with 17.6% of patients presenting in the first month, 63.1% presenting by 6 months, and 84.6% presenting by 1 year.
Use of immunosuppressive treatment
The researchers also examined use of systemic immunosuppression for treating cutaneous toxicities, defined as “a new prescription for systemic glucocorticoids greater than 10 mg per day, prednisone equivalent, or nonsteroidal systemic immunosuppression,” administered within 7 days of the diagnosis of the cutaneous event. They found that 5% of patients overall received systemic immunosuppressive treatment within 7 days of a cutaneous event, which was “at the higher end of what was reported in clinical trials for the treatment of cutaneous toxicities,” Dr. Semenov noted.
“This is likely the result of the delays in diagnosis in nonclinical trial settings ... allowing more time for these events to progress to a higher grade. Also, there may be a greater willingness by providers to initiate systemic immunosuppression due to less stringent treatment protocols in real-world clinical settings,” he said.
Using a multivariable risk prediction model for cutaneous toxicities, the researchers identified use of ipilimumab, a CTLA-4-blocking antibody, as having a protective effect for not developing a cutaneous irAE, compared with the PD-1 blocker pembrolizumab (odds ratio, 0.78; 95% confidence interval, 0.62-0.98; P < .01). But combination ICI therapy (OR, 1.53; 95% CI, 1.25-1.88; P < .001), a melanoma diagnosis (OR, 2.47; 95% CI, 2.11-2.89; P < .001), and a renal cell carcinoma diagnosis (OR, 1.65; 95% CI, 1.36-2.00; P < .001) were found to be risk factors for developing cutaneous irAEs.
“The protective effect of ipilimumab identified in the study is interesting, as historically ipilimumab has been more likely to cause cutaneous toxicities,” Dr. Semenov said. “However, we believe that the majority of this association is mediated by the melanoma, for which ipilimumab was primarily used since its introduction. Independent of this relationship, it seems to be less likely to cause cutaneous toxicity than PD-1 inhibition, according to this data.”
Based on their findings, he said, “dermatologists can utilize this information to facilitate evaluations of high-risk patients so they can take steps to prevent progression to more severe toxicities and reduce reliance or systemic immunosuppression.”
The 25% real-world incidence of cutaneous irAEs observed in the study, Dr. Semenov said, is “somewhat lower than previous clinical trial estimates of over one-third of patients presenting with cutaneous toxicities” but he added that previous estimates were based primarily on studies of patients with melanoma.
That some patients delayed presentation with these conditions “should revise clinicians’ understanding of when to expect patients to present with these toxicities, and not to rule out a delayed onset of symptoms as being unrelated to immunotherapy,” Dr. Semenov said.
Most cutaneous irAEs are ‘manageable’
In an interview, Naiara Braghiroli, MD, PhD, a dermatologist at Baptist Health’s Miami Cancer Institute, Plantation, Fla., who was not an investigator in the study, noted that over the last decade, ICIs have “revolutionized the treatment of metastatic melanoma” and, more recently, the treatment of nonmelanoma skin cancers, with regard to survival rates and side effects.
She said that the results of the study show that “most of the cutaneous side effects are manageable with very few exceptions, like the cutaneous bullous disorders and rarely, more serious reactions [such as] Stevens-Johnson syndrome.”
The majority of the side effects are treatable “and when well controlled, the patient can have a good quality of life” during treatment, she added.
For future research, Dr. Braghiroli noted, it would be interesting to know more about whether the development of any specific cutaneous reaction associated with ICIs “is associated with a higher chance of good antitumor response,” as seen with other anticancer therapies such as epidermal growth factor receptor inhibitors.
Dr. Semenov and Dr. Braghiroli report having no relevant financial disclosures.
FROM SID 2021