Infertility is a common reproductive health issue, associated with increased risks of pregnancy complications. However, shared underlying risk factors such as age, BMI, PCOS, endometriosis, and lifestyle may partly explain …
Catamenial pneumothorax (CP) is a rare cause of recurrent spontaneous pneumothorax in women of reproductive age, typically linked to endometriosis. It usually occurs 24 h before or within 72 h …
Endometriosis(EMS) symptoms, progression, and onset are all linked to the patient's immune system dysfunction. Research on immune cells and their molecular mechanisms has long been a prime focus of EMS …
To systematically review the literature on women's sexual quality of life after Transvaginal Natural Orifice Endoscopic Surgery (vNOTES) for gynecological and non-gynecological procedures, and to assess women's perceptions of vNOTES, …
The present review aims to ascertain whether reproductive disorders are associated with specific physical, mental, personality, and social traits. This information may be used to support or reject the hypothesis …
to develop a step-by-step guideline to the medical management of pain in women with endometriosis from a national modified eDELPHI process in the Netherlands.
Background: The individual and social burden of endometriosis is high, and the diagnosis is usually delayed by 7-10 years. Menstrual effluent (ME) represents an accessible and uniquely informative biofluid. This …
Endometriosis is a chronic inflammatory disease characterized by the presence of endometrial-like tissue outside the uterine cavity. It affects approximately 10-15% of women of reproductive age globally and is characterized …
ObjectiveThis study aimed to investigate the relationship between the cardiometabolic index and the prevalence of endometriosis among reproductive-age women in the United States. This cross-sectional population-based study used data from …
Predictive tools are lacking for pain-related outcomes after endometriosis surgery. The objective of this study was to develop and validate a machine learning-based clinical model to predict poor pain-related quality …