This meta-analysis assesses the impact of non-medical endometrioma treatments on pregnancy rates in infertile women with endometriosis. Based on a search of PubMed, Scopus, EMBASE and Web of Science, 24 …
Considering low-quality evidence regarding the impact of laparoscopic surgery on in vitro fertilization (IVF) success rates in women with endometriosis, our research aimed to evaluate IVF success rates and their …
Ovarian endometriosis(OEM) is the most common type of endometriosis, but there is still a lack of simple and easy-to-promote animal models. Therefore, it is necessary to establish a feasible animal …
Endometriosis, a prevalent women's health condition, is associated with persistent pelvic pain and infertility. Despite ongoing research, its precise disease mechanism remains elusive, impeding the discovery of a definitive cure. …
The interplay between the gut microbiome and reproductive health has gained increasing attention in recent years. Emerging research suggests that imbalances in the gut microbiome may impact reproductive function through …
Artificial intelligence (AI) may have the potential to improve existing diagnostic challenges in endometriosis imaging. To better direct future research, this descriptive review summarizes the general landscape of AI applications …
Ovarian cancer is considered a predominant female reproductive malignancy and poses a significant threat due to its 80-90% fatality rate. The typical approach involves surgery and chemotherapy, which due to …
To analyse endometriosis diagnostic errors made by clinicians as reported by patients with endometriosis.
Australian lawyers, researchers and unions are advocating for the implementation of national paid menstrual leave legislation. The scarce research in this emerging field has not thoroughly explored women's attitudes towards …
Previous research has identified treatment attributes and outcomes for endometriosis patients, highlighting the need for tailored interventions to improve patient care. These studies emphasize the need to understand patient experiences, …