Metformin and GLP-1 receptor agonists for antipsychotic-induced metabolic disturbances: a systematic review and network meta-analysis

The management of antipsychotic-induced metabolic disturbances (AIMD) represents a significant challenge in psychiatric clinical practice. This study aimed to synthesize randomized evidence and estimate the relative effects of metformin and GLP-1 receptor agonists (GLP-1 RAs) on multidimensional metabolic indicators and psychiatric symptoms in patients with AIMD using a network meta-analysis framework. Randomized controlled trials (RCTs) published up to December 5, 2025, were identified from PubMed, Embase, Cochrane Library, and Web of Science. Eligible studies evaluated metformin or GLP-1 RAs for at least 12 weeks during ongoing antipsychotic treatment. Risk of bias was assessed using the Cochrane Risk of Bias 2.0 tool. Random-effects frequentist network meta-analysis was performed in Stata 17.0 MP. 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. Twenty-nine Studies involving 1,721 patients were included. Median study-level age was 36.2 years, 47.7% of participants were male, and median treatment duration was 16 weeks. Compared with control groups, semaglutide was associated with reductions in body mass index (BMI) (MD = -3.55, 95% CI: -4.27 to -2.84), waist circumference (WC) (MD = -6.34, 95% CI: -8.17 to -4.51), glycated hemoglobin A1c (HbA1c) (MD = -0.44, 95% CI: -0.53 to -0.35), and fasting blood glucose (FBG) (MD = -0.53, 95% CI: -0.88 to -0.18). Metformin was associated with reductions in lipid metabolism markers, including total cholesterol (TC) and triglycerides (TG), and showed an exploratory potential benefit for psychiatric symptom scores (SMD = -0.31, 95% CI: -0.55 to -0.06). Indirect network estimates suggest that these interventions may have different outcome profiles, with GLP-1 RAs showing potential benefits for weight-related and glycemic outcomes and metformin showing potential benefits for lipid parameters and psychiatric symptom scores. However, because active-treatment comparisons were indirect and the transitivity assumption remains uncertain, these findings should be interpreted as exploratory evidence that may inform clinical discussion and future research.

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Journal
BMC Medicine
Published
2026-09-28
DOI
https://doi.org/10.1186/s12916-026-05280-2
Primary Topic
Schizophrenia research and treatment
Type
article
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article

Metformin and GLP-1 receptor agonists for antipsychotic-induced metabolic disturbances: a systematic review and network meta-analysis

Yao-Fu Zhang, Ye-xin Chen, Dong Yi-yu, Dandan Mao et al.
BMC Medicine
Schizophrenia research and treatment
article

Metformin and GLP-1 receptor agonists for antipsychotic-induced metabolic disturbances: a systematic review and network meta-analysis

Yao-Fu Zhang, Ye-xin Chen, Dong Yi-yu, Dandan Mao, Yan Zhao, Qian-wen Yang, Mo-han Sun, Mao-xuan Lin, Lin Zhang, Run-dong Yu, Jun Xu, Jin-xi Zhao
article en

Abstract

The management of antipsychotic-induced metabolic disturbances (AIMD) represents a significant challenge in psychiatric clinical practice. This study aimed to synthesize randomized evidence and estimate the relative effects of metformin and GLP-1 receptor agonists (GLP-1 RAs) on multidimensional metabolic indicators and psychiatric symptoms in patients with AIMD using a network meta-analysis framework. Randomized controlled trials (RCTs) published up to December 5, 2025, were identified from PubMed, Embase, Cochrane Library, and Web of Science. Eligible studies evaluated metformin or GLP-1 RAs for at least 12 weeks during ongoing antipsychotic treatment. Risk of bias was assessed using the Cochrane Risk of Bias 2.0 tool. Random-effects frequentist network meta-analysis was performed in Stata 17.0 MP. 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. Twenty-nine Studies involving 1,721 patients were included. Median study-level age was 36.2 years, 47.7% of participants were male, and median treatment duration was 16 weeks. Compared with control groups, semaglutide was associated with reductions in body mass index (BMI) (MD = -3.55, 95% CI: -4.27 to -2.84), waist circumference (WC) (MD = -6.34, 95% CI: -8.17 to -4.51), glycated hemoglobin A1c (HbA1c) (MD = -0.44, 95% CI: -0.53 to -0.35), and fasting blood glucose (FBG) (MD = -0.53, 95% CI: -0.88 to -0.18). Metformin was associated with reductions in lipid metabolism markers, including total cholesterol (TC) and triglycerides (TG), and showed an exploratory potential benefit for psychiatric symptom scores (SMD = -0.31, 95% CI: -0.55 to -0.06). Indirect network estimates suggest that these interventions may have different outcome profiles, with GLP-1 RAs showing potential benefits for weight-related and glycemic outcomes and metformin showing potential benefits for lipid parameters and psychiatric symptom scores. However, because active-treatment comparisons were indirect and the transitivity assumption remains uncertain, these findings should be interpreted as exploratory evidence that may inform clinical discussion and future research.

BMC Medicine
Zhejiang Chinese Medical University (CN), Beijing University of Chinese Medicine (CN), Dongzhimen Hospital Affiliated to Beijing University of Chinese Medicine (CN), Tsinghua University (CN)
Good health and well-being
Openalex Percentile: Top 10%
Schizophrenia research and treatment
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