Use of metformin in polycystic ovary syndrome: a meta-analysis
Abstract
OBJECTIVE: To update the state of evidence on the efficacy of metformin, used either alone or in combination with clomiphene citrate in women with polycystic ovary syndrome, by examining three outcomes: ovulation, pregnancy, and live birth. Sources of heterogeneity among the published randomized controlled trials are systematically assessed.
DATA SOURCES: An electronic literature search was performed using MEDLINE, EMBASE, SCOPUS, CENTRAL, Cochrane, and U.S. Food and Drug Administration databases, restricted to studies conducted on humans and published in English.
METHODS OF STUDY SELECTION: Of the 406 potentially relevant articles identified, 17 met criteria for inclusion in the meta-analysis, rendering a total sample of 1,639 women. Study quality was examined in terms of randomization scheme, masking process, adequacy of allocation concealment, statistical power, and loss to follow-up; publication bias was also assessed. Meta-analytic procedures were used to compare metformin with placebo, and metformin plus clomiphene with clomiphene alone, for all study outcomes. Exploratory analyses were conducted to assess differences in treatment effects between clomiphene-resistant and nonresistant patients, obese and nonobese patients, and trials with long and short durations of follow-up.
TABULATION, INTEGRATION, AND RESULTS: Metformin improved the odds of ovulation in women with polycystic ovary syndrome when compared with placebo (odds ratio [OR] 2.94; 95% confidence interval…
How strong is the evidence?
Evidence Hub reads this as a meta-analysis, done in people. Its evidence level is 1 of 5 (Highest · pooled evidence). Pooled evidence from several studies sits at the top of the evidence pyramid. Reported size: 1,639 participants or records.
Read the paper
Related studies
- Increased expression of circulating miRNA-93 in women with polycystic ovary syndrome may represent a novel, non-invasive biomarker for diagnosis
- Identification of key genes associated with polycystic ovary syndrome (PCOS) and ovarian cancer using an integrated bioinformatics analysis
- Identification of key pathways and genes in polycystic ovary syndrome via integrated bioinformatics analysis and prediction of small therapeutic molecules
- Regulation of Androgen Receptor Expression Alters AMPK Phosphorylation in the Endometrium: In Vivo and In Vitro Studies in Women with Polycystic Ovary Syndrome
- Effect of oral administration of low-dose follicle stimulating hormone on hyperandrogenized mice as a model of polycystic ovary syndrome
- Systems pharmacology to investigate the interaction of berberine and other drugs in treating polycystic ovary syndrome
Go deeper in Evidence Hub
Evidence Hub adds a study data sheet (design, sample size, evidence level, key numbers), an AI summary and a chat grounded in the paper's text.