Evidence map›Paper›PMID 40740996›Full record

SynthesisFrontiers in pharmacology2025

Efficacy and safety of berberine on the components of metabolic syndrome: a systematic review and meta-analysis of randomized placebo-controlled trials.

Dangzhen Liu, Haiyan Zhao, Yiwen Zhang, Jingqing Hu, Hong Xu

Abstract readSystematic Review
In one paragraph

Synthesis in Frontiers in pharmacology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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  4. Efficacy and safety ofFrontiers in pharmacology · 2025
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Dangzhen LiuSchool of Basic Medical Sciences, Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Haiyan ZhaoSchool of Third Clinical Medical, Nanjing University of Traditional Chinese Medicine, Nanjing, China.
Yiwen ZhangInstitute of Basic Theory for Chinese Medicine, China Academy of Chinese Medical Sciences, Beijing, China.
Jingqing HuSchool of Basic Medical Sciences, Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Hong XuSchool of Basic Medical Sciences, Chengdu University of Traditional Chinese Medicine, Chengdu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Metabolic syndrome (MetS) is a prevalent metabolic disease that significantly increases the risk of type 2 diabetes, cardiovascular diseases, and overall mortality. Current medications have limited effects on the various components of MetS. Berberine has demonstrated unique comprehensive therapeutic benefits for MetS, but its efficacy remains uncertain. Objective: To comprehensively evaluate the efficacy and safety of berberine on MetS indicators. Methods: Our study provides a comprehensive evaluation of the efficacy and safety of berberine for MetS components through systematic review and meta-analysis, from the aspects of study characteristics, risk of bias, meta-analysis, sensitivity analysis, meta-regression, and publication bias. Results: The results indicate that berberine significantly reduces triglycerides (TG) (WMD: -0.367 mmol/L; 95% CI: -0.560 to -0.175; Conclusion: Berberine significantly improves glucose and lipid metabolism and has notable effects on components of MetS, including TG, FPG, and WC, with a favorable safety profile. It may serve as a beneficial supplement. Meanwhile, more high-quality, rigorously designed randomized controlled trials are needed in the future to provide stronger evidence. Systematic review registration: https://www.crd.york.ac.uk/PROSPERO/view/CRD42024588614.

Indexed as

berberinedyslipidemiahyperglycemiahypertensionmetabolic syndromewaist circumference (WC)

Identifiers

PMID40740996
PMCPMC12307485

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.