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Efficacy and safety of anti-prediabetic drugs in patients with prediabetes: a Bayesian network meta-analysis

Wu Y, Wang Z, Tuersun A, Yu Q, Zhong Y, Ali SSA, Liu H, Hu X et al.

BMC medicine, 2026

16,610 participants

Abstract

Background: Prediabetes refers to the transitional stage from normal glucose metabolism to diabetes. The International Diabetes Federation guidelines reported that, as of 2024, approximately 1.12 billion people globally were in the prediabetes stage. Without intervention, individuals with prediabetes are highly likely to progress to type 2 diabetes mellitus. It can be seen that prediabetes is posing a threat to human health and life and leads to a significant global public health concern.

Methods: PubMed, Embase, Cochrane Library, Web of Science, and ClinicalTrials.gov were searched before March 29, 2025. Eligible randomized controlled trials (RCTs) enrolled adults with prediabetes, compared the efficacy and safety of placebo and anti-prediabetic drugs (e.g., metformin, sodium-glucose cotransporter 2 inhibitors, glucagon-like peptide-1 receptor agonists, and thiazolidinedione) with a follow-up duration of at least 12 weeks. Bayesian network meta-analysis was employed in statistical analysis.

Results: Fifty-five eligible RCTs involving 37 interventions with 16,610 participants were included in this study. Compared with placebo, most anti-prediabetic drugs significantly reduced levels of hemoglobin A1c (HbA1c) (mean difference (MD), - 0.94 ~ - 0.27%), fasting plasma glucose (FPG) (MD, - 26.42 ~ - 0.15 mg/dL), weight loss (WL) (MD, - 13.59 ~ - 5.99 kg) and body mass index (BMI) (MD, - 4.50 ~ - 0.08 kg/m2). Specifically, 2.4 mg of semaglutide SC demonstrated the most optimal…

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: 16,610 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.

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