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- Title
Effects of bazedoxifene on endometriosis in experimental animal models: A systematic review and meta-analysis.
- Authors
Makoui, Reza Hassanzadeh; Fekri, Shiva; Ansari, Negar; Makoui, Masoud Hassanzadeh
- Abstract
Endometriosis is a prevalent condition in women that causes pelvic pain and fertility issues due to the growth of endometrial tissue outside the uterus during menstrual cycles. Steroid hormones play a crucial role in the development and growth of endometriosis lesions; therefore, researchers have investigated several effective drugs that target hormones for treating this disease. One such drug is bazedoxifene, but despite several animal studies, there has yet to be a comprehensive evaluation of their combined results. A systematic search was conducted across several databases (Embase, PubMed, Scopus, and Web of Sciences) to identify studies investigating the effectiveness of bazedoxifene in animal models of endometriosis. Meta-analysis was performed using the size of endometriosis implants before and after drug administration in the case and control groups, along with the p-value of the associations. Begg's and Egger's tests were used to assess publication bias. This study included four eligible studies consisting of 45 endometrial animal models and 35 control subjects. The meta-analysis showed that bazedoxifene significantly reduced the size of endometriosis implants in animal models compared with the control group (odds ratio: 0.122, 95% confidence interval: 0.050-0.298, p<0.001). Detailed investigation determined that there was no significant heterogeneity between the studies (I2=38.81, and p-value of the Q test=0.179). However, according to Egger's test, the study showed publication bias (p=0.035). This study found that bazedoxifene is a promising treatment option for endometriosis in animal models. However, more research on animals and humans is required to confirm these results.
- Subjects
BIOLOGICAL models; MEDICAL information storage &; retrieval systems; ENDOMETRIUM; INTRAPERITONEAL injections; META-analysis; DESCRIPTIVE statistics; ENDOMETRIOSIS; SYSTEMATIC reviews; MEDLINE; ODDS ratio; ANIMAL experimentation; SELECTIVE estrogen receptor modulators; ONLINE information services; CONFIDENCE intervals; DATA analysis software; PHARMACODYNAMICS
- Publication
Turkish Journal of Obstetrics & Gynecology, 2024, Vol 21, Issue 2, p118
- ISSN
2149-9322
- Publication type
Article
- DOI
10.4274/tjod.galenos.2024.82610