Researchers have explored machine learning (ML) in diagnosing endometriosis. However, systematic evidence on its diagnostic accuracy for endometriosis remains scarce.
Aberrant vascular endothelial growth factor (VEGF)-driven angiogenesis is central to the establishment and persistence of endometriosis. Although numerous anti-angiogenic compounds have been tested, evidence remains fragmented, and no comparative framework …
This systematic review and Bayesian network meta-analysis aimed to evaluate the comparative efficacy and safety of various laparoscopic techniques for endometrioma management, focusing on their impact on fertility outcomes and …
To synthesize the available evidence on abdominal wall endometriosis (AWE) after cesarean section (CS) by characterizing its clinical features and timing of presentation, and to determine how often prior or …
Firstly, this meta-analysis[1] included a total of eight studies, seven of which used the rASRM classification, while only one applied the ENZIAN classification; the latter was not included in the …
This systematic review aimed to summarize the effects of astaxanthin (ASX) supplementation on oxidative stress, inflammation, and metabolic regulation in human studies. A systematic search was conducted in Scopus, Web …
Pharmacogenetics is an emerging discipline that explores how genetic variants affect drug response, potentially leading to side effects or treatment failure. Although widely applied in other medical specialties, its use …
Exosomes are nanoscale extracellular vesicles that mediate intercellular communication by transporting microRNAs, proteins, and lipids. Generated through Endosomal Sorting Complex Required for Transport (ESCRT)-dependent mechanisms or ESCRT-independent pathways, exosomes are …