Skin appendage disorders · 2026
Delays in Diagnosis of Alopecia Areata.
СтатьяНазвание и аннотация: Перевод в очереди
Обработка статьи · этапы, ошибки и управление
Загрузка состояния…
Ошибки и ограничения
История · было → стало
Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.
Sanchez Katherine, Gregoire Samantha, Biba Ursula, Salloum Lana, Anderson Lisa, Waldman Monique Margaret, Mesinkovska Natasha A, Mostaghimi Arash
Аннотация
INTRODUCTION: Diagnostic delays in alopecia areata (AA) are often preventable and may be compounded by factors that have not been fully elucidated. Our objective was to identify potential associations and to characterize diagnostic delay of AA that extends beyond 1 year.
METHODS: Patients with AA were recruited via online survey. A multivariable linear regression was performed to analyze diagnostic delay greater than 1 year while controlling for age, sex at birth, race, income, health insurance, and employment. A sensitivity analysis was performed to compare delays of over 9 months versus 1 year.
RESULTS: Regression analysis revealed associations between white race (OR 0.46, 95% CI [0.27-0.80], p = 0.006), annual income above the median of $75,000 (OR 0.56, 95% CI [0.32-0.99], p = 0.046), and having health insurance (OR 0.32, 95% CI [0.11-0.92], p = 0.034), with lower odds of diagnostic delay beyond 1 year. Sensitivity analysis indicated that these associations, except health insurance, held true even at 9-month thresholds.
CONCLUSION: Limitations include survey demographics and cross-sectional design, limiting causal inference. Socioeconomic factors, including race, income, and insurance coverage, extend diagnostic delay in AA. Addressing disparities could improve timely diagnosis for AA, emphasizing the need for further investigation of healthcare barriers.
METHODS: Patients with AA were recruited via online survey. A multivariable linear regression was performed to analyze diagnostic delay greater than 1 year while controlling for age, sex at birth, race, income, health insurance, and employment. A sensitivity analysis was performed to compare delays of over 9 months versus 1 year.
RESULTS: Regression analysis revealed associations between white race (OR 0.46, 95% CI [0.27-0.80], p = 0.006), annual income above the median of $75,000 (OR 0.56, 95% CI [0.32-0.99], p = 0.046), and having health insurance (OR 0.32, 95% CI [0.11-0.92], p = 0.034), with lower odds of diagnostic delay beyond 1 year. Sensitivity analysis indicated that these associations, except health insurance, held true even at 9-month thresholds.
CONCLUSION: Limitations include survey demographics and cross-sectional design, limiting causal inference. Socioeconomic factors, including race, income, and insurance coverage, extend diagnostic delay in AA. Addressing disparities could improve timely diagnosis for AA, emphasizing the need for further investigation of healthcare barriers.