Comparative Effectiveness of Metformin versus GLP-1 Receptor Agonists in Treating Antipsychotic-Induced Metabolic Disturbances: A Systematic Review and Network Meta-Analysis
Abstract
Abstract Objective: The management of antipsychotic-induced metabolic disturbances (AIMD) represents a significant challenge in psychiatric clinical practice. Although metformin is widely used to improve AIMD, the role of glucagon-like peptide-1 receptor agonists (GLP-1 RAs) in metabolic regulation has gained increasing attention. This study aims to compare the efficacy of metformin and different GLP-1 RAs in improving multidimensional metabolic indicators and psychiatric symptoms in AIMD patients through a systematic review and network meta-analysis. Methods: Randomized controlled trials (RCTs) published up until December 1, 2025, were identified by searching PubMed, Embase, Cochrane Library, and Web of Science databases. Studies that included patients receiving metformin or GLP-1 RAs treatment for at least 12 weeks, while continuously using antipsychotic medications, were included. The Cochrane Risk of Bias 2.0 tool was used to assess the quality of the studies. A random-effects network meta-analysis was performed using Stata 17.0 MP within the frequentist framework. Intervention rankings were determined by calculating the surface under the cumulative ranking curve (SUCRA). Univariate network meta-regression was applied to explore the impact of study-level covariates on treatment efficacy. Evidence quality was rated based on the CINeMA framework. Results: A total of 29 RCTs (1,761 patients) were included. Semaglutide demonstrated the most significant effect in reducing…
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: 1,761 participants or records.
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