Evidence Hub

Weight-Lowering Drugs and Natural Female Fertility-A Systematic Review and Meta-Analysis

Alnaimi SJ, Alsugeir DM, Wei L, Harvey K, Brauer R

Clinical obesity, 2026

575 participants

Abstract

Overweight and obesity are global health concerns linked to impaired female fertility. Weight-lowering drugs are an alternative for achieving weight loss; however, their effect on natural female fertility is unclear. A systematic review and meta-analysis were conducted to summarise the literature on the effects of weight-lowering drugs on ovulation, conception, pregnancy and live birth rates. Inclusion criteria comprised interventional and observational studies involving women with overweight or obesity receiving weight-lowering drugs, compared with non-users, lifestyle modifications or other medications. MEDLINE, Embase, CINAHL, CENTRAL and ClinicalTrials.gov were searched, yielding 2731 records. After screening, seven clinical trials were included (n = 575), six of which were randomised. Sample sizes ranged from 40 to 120 women aged 25.9-29.7 years. Six trials evaluated orlistat, while one assessed semaglutide. In four trials, orlistat was associated with a higher ovulation rate than lifestyle modifications. A meta-analysis of ovulation rates comparing orlistat and metformin showed no significant difference (RR = 0.78, 95% CI: 0.41-1.49; p = 0.45). Two studies reported pregnancy rates: one found a higher rate with orlistat compared to lifestyle modifications (23.3% vs. 6.7%, p = 0.044), and another showed that adding semaglutide to metformin increased the pregnancy rate compared to metformin alone (35% vs. 15%, p < 0.05). Future studies should address current limitations…

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: 575 participants or records.

How the five levels of evidence work. The level is assigned automatically from the abstract and can be wrong, so check the paper.

Read the paper

Related studies

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.

Open this study Sign up free