To develop and internally validate machine-learning models for non-invasive triage of women at risk for endometriosis using structured clinical variables in a laparoscopically and histologically verified cohort.
Background and objectives Diagnosis and treatment of infertility, mostly sought at tertiary facilities, contribute to substantial out-of-pocket expenditure (OOPE). This study estimated OOPE among couples seeking care for endometriosis, male …
Endometriosis defined by the growth of endometrial tissues outside the uterus, affects women of reproductive age. A critical process in endometriosis progression, angiogenesis involves endothelial cell migration, proliferation and tube …
Rheumatic heart disease (RHD) remains a major cause of cardiovascular morbidity and premature mortality among children and young adults, particularly in low- and middle-income countries. Current management relies on antibiotic …
The aim of the present study was to analyze the mediating role of self-compassion between trait optimism and beliefs about woman identity, motherhood and infertility among women with endometriosis, adjusting …
Bowel dysfunction is a common and debilitating condition affecting patients with endometriosis. Despite the extent of surgery, symptoms may persist or arise, often overlapping with low anterior resection syndrome (LARS) …
This prose poem explores a nonbinary and transmasculine experience with total hysterectomy salpingectomy/ooporectomy as a gender-affirming procedure as well as treatment for stage four endometriosis, polycystic ovarian syndrome, and multiple …
To summarize current evidence on endometriosis in adolescents and postmenopausal women and to compare age-specific clinical characteristics, diagnostic approaches, and management strategies.
To analyze the association between primary infertility and infertility type with the age of natural menopause.