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, …
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 …
Background Endometriosis often requires surgery, especially in deep-infiltrating cases unresponsive to medical therapy. This study presents our institutional experience with robotic-assisted surgery (RAS) for endometriosis in Indian patients. Methodology This …
Identification of appropriate biomarkers is of great clinical significance for early diagnosis of endometriosis (EMs). This study aimed to comprehensively analyze the association between EMs and blood and urine biomarkers …
Artificial intelligence (AI) is revolutionizing how we practice medicine. In areas where we have traditionally struggled, such as diagnosing endometriosis, AI has significant potential to improve the breadth and accuracy …
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 …
Systemic lupus erythematosus (SLE) is a clinically heterogeneous autoimmune disease with multifactorial pathogenesis. Although polygenic risk scores (PRSs) have been developed to enable early prediction, their accuracy remains limited. To …
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 …