Journal of women's health (2002) · 2026
Endometriosis Diagnostic Delay and Its Correlates: Results from the ComPaRe-Endometriosis Cohort.
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.
Breton Zélia, Gouesbet Solène, Indersie Emilie, Gabillet Marie, Tran Viet-Thi, Aflak Nizar, Borghese Bruno, Petit Erick, Roman Horace, Millepied Anne-Charlotte, Nève De Mevergnies Margaux, Kvaskoff Marina
Аннотация
BACKGROUND: An average time to diagnosis of 7 years is commonly described for endometriosis; diagnostic delay for adenomyosis is unknown. This cross-sectional study aimed to describe diagnostic delay for endometriosis and adenomyosis and to investigate the factors associated with this delay.
METHODS: Community of Patients for Research (ComPaRe)-Endometriosis is a prospective e-cohort of women with endometriosis and/or adenomyosis in France. About 6,949 participants were included. We used linear regression modeling to assess factors associated with diagnostic delay, after adjustment for age, education level, body mass index, number of comorbidities, and family history of the disease or of chronic pelvic pain (CPP).
RESULTS: The average diagnostic delay was 10 years for endometriosis and 11 years for adenomyosis. Factors associated with a significantly longer diagnostic delay were year of diagnosis (+0.34 years, p < 0.0001), unemployment (+0.7 years, p = 0.01), number of comorbidities (+0.3 years, p < 0.0001), family history of the disease or of CPP (+1.1 years, p < 0.0001), severe dysmenorrhea before diagnosis (numeric-rating scale: +0.8 years, p < 0.0001), number of health professionals consulted before diagnosis (+0.3 years, p < 0.0001), and presence of multiple symptoms leading to first consultation (+1.6 years, p < 0.0001). In contrast, factors associated with a shorter delay were a financial position perceived as comfortable (-1.4 years, p < 0.0001), age at menarche (-0.6 years, p < 0.0001), and age at first symptoms (-0.8 years, p < 0.0001).
CONCLUSIONS: This study highlights several factors associated with diagnostic delay among women with self-reported endometriosis and/or adenomyosis and provides new insights to improve care by informing both clinicians and patients. Attention to these profiles may improve disease management.
METHODS: Community of Patients for Research (ComPaRe)-Endometriosis is a prospective e-cohort of women with endometriosis and/or adenomyosis in France. About 6,949 participants were included. We used linear regression modeling to assess factors associated with diagnostic delay, after adjustment for age, education level, body mass index, number of comorbidities, and family history of the disease or of chronic pelvic pain (CPP).
RESULTS: The average diagnostic delay was 10 years for endometriosis and 11 years for adenomyosis. Factors associated with a significantly longer diagnostic delay were year of diagnosis (+0.34 years, p < 0.0001), unemployment (+0.7 years, p = 0.01), number of comorbidities (+0.3 years, p < 0.0001), family history of the disease or of CPP (+1.1 years, p < 0.0001), severe dysmenorrhea before diagnosis (numeric-rating scale: +0.8 years, p < 0.0001), number of health professionals consulted before diagnosis (+0.3 years, p < 0.0001), and presence of multiple symptoms leading to first consultation (+1.6 years, p < 0.0001). In contrast, factors associated with a shorter delay were a financial position perceived as comfortable (-1.4 years, p < 0.0001), age at menarche (-0.6 years, p < 0.0001), and age at first symptoms (-0.8 years, p < 0.0001).
CONCLUSIONS: This study highlights several factors associated with diagnostic delay among women with self-reported endometriosis and/or adenomyosis and provides new insights to improve care by informing both clinicians and patients. Attention to these profiles may improve disease management.