This systematic review and meta-analysis compared the efficacy of dienogest (DNG) and gonadotropin-releasing hormone (GnRH) agonists in the management of endometriosis-related symptoms following surgical intervention, their related adverse effects, and …
To investigate the mechanism of medicinal cake-separated moxibustion in inhibiting the adhesion, invasion and angiogenesis of ectopic endometriotic tissues in endometriosis (EMs) rats through transforming growth factor-β1 (TGF-β)/Sma and Mad …
Endometriosis (EMs) and depression are both common conditions that have a significant negative impact on quality of life. However, it is still unclear about the relationship between them. The study …
Can a serum miRNA signature serve as a potential diagnostic biomarker for endometriosis (END)?
Depression rates are higher in women, especially during periods of hormonal fluctuation. Reproductive system disorders (RSDs), which often disrupt hormonal balance, may contribute to this mental health burden. Despite their …
Adenomyosis and endometriosis are hormone-dependent benign gynecological disorders with overlapping features suggesting that they may share a common origin despite being considered distinct entities. This study compares the expression of …
Endometriosis (EMS) is a chronic gynecological condition affecting 6-10% of reproductive-age women. These lesions, albeit of benign nature, present cancer-like features, and may progress to epithelial ovarian cancer (EOC) through …
To show a complex fertility sparing resection of stage IV endometriosis with the DaVinci Single-Port (SP) Robot system, and to provide tips and tricks for surgical skill and efficiency when …
Objective: The primary goal of treatment for endometriosis (EMS), where pelvic pain is the most significant symptom, is the symptom alleviation. Medical treatment is typically employed until menopause or until …
Endometriosis is a chronic, estrogen-dependent condition associated with substantial physical and psychological burden. Although psychiatric comorbidities are frequently reported, large-scale real-world data remain limited.