Evidence mapPaperPMID 41354975Full record

ReviewDiabetology & metabolic syndrome2025

The impact of metformin on myocardial hypertrophy: an updated systematic review, meta-analysis, and meta-regression of randomized controlled trials.

Alireza Azarboo, Sayeh Jalali, Farhad Shaker, Amirmohammad Khalaji, Ramin Assempoor, Amin Javidan, Yasaman Mohammadi, Omid Bahrami, Niyousha Farahmandniya, Alessandro Cannavo

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In one paragraph

Review in Diabetology & metabolic syndrome, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

10 authors.

Alireza Azarboo *School of Medicine, Tehran University of Medical Sciences, Tehran, Iran. ar-Azarboo@student.tums.ac.ir.ORCID http://orcid.org/0000-0003-3399-2360
Sayeh Jalali *School of Medicine, Tehran University of Medical Sciences, Tehran, Iran.ORCID http://orcid.org/0009-0009-2757-4104
Farhad ShakerSchool of Medicine, Tehran University of Medical Sciences, Tehran, Iran.ORCID http://orcid.org/0009-0003-5987-9873
Amirmohammad KhalajiSchool of Medicine, Tehran University of Medical Sciences, Tehran, Iran.ORCID http://orcid.org/0000-0002-6138-1914
Ramin AssempoorSchool of Medicine, Tehran University of Medical Sciences, Tehran, Iran.
Amin JavidanSchool of Medicine, Tehran University of Medical Sciences, Tehran, Iran.
Yasaman MohammadiSchool of Medicine, Tehran University of Medical Sciences, Tehran, Iran.
Omid BahramiStudent Scientific Research Committee, Tehran University of Medical Sciences, Tehran, Iran.ORCID http://orcid.org/0009-0005-4310-711X
Niyousha FarahmandniyaSchool of Pharmacy, Tehran University of Medical Sciences, Tehran, Iran.
Alessandro CannavoDepartment of Translational Medical Sciences, University of Naples Federico II, Naples, Italy.ORCID http://orcid.org/0000-0001-8948-5961

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMetformin is a cornerstone treatment for diabetes that has demonstrated significant cardioprotective effects. Studies in animals and humans supported metformin as an anti-remodeling drug by regulating molecular pathways involved in cardiac hypertrophy, as a strong, independent predictor of cardiovascular events and mortality. Herein, we aimed to systematically evaluate metformin's therapeutic potential on myocardial hypertrophy, a topic that remains argued and still lacks a consensus.

methodsA systematic review and meta-analysis were conducted on randomized controlled trials (RCTs) following PRISMA guidelines (PROSPERO: CRD42024619803). PubMed, Scopus, Web of Science, and Embase databases were searched until June 2025. Primary outcomes were changes in left ventricular mass index (LVMI), left ventricular mass (LVM), and left ventricular ejection fraction (LVEF). Data were pooled and heterogeneity was assessed via I² statistics. Meta-regression explored covariates such as age, BMI, lipid profile, blood pressure, and metformin dose. Sensitivity analyses and publication bias assessments were performed.

resultsAfter screening, only ten studies were included in our analysis. Our results revealed that metformin significantly reduced LVMI after 12 months in the overall population (SMD - 0.23, 95% CI -0.42 to -0.04, I² = 0%), with a consistent effect observed in the change data analysis (SMD - 0.29, 95% CI -0.48 to -0.10, I² = 34%). The subgroup analysis reported a reduction in LVMI that was more pronounced in non-diabetic individuals (SMD - 0.35, 95% CI -0.60 to -0.10, I² = 50%) compared to diabetic populations, where the effect was modest and not statistically significant (SMD - 0.12, 95% CI -0.35 to 0.11, I² = 45%). Next, meta-regression analysis identified total cholesterol (p = 0.0007) and male proportion (p = 0.0016) as significant sources of heterogeneity. Notably, across the included studies, we did not observe any significant impact on LVM after 6 or 12 months in diabetic or non-diabetic subgroups. Similarly, no significant effect on LVEF, E/e', or left atrial diameter was revealed. Sensitivity analysis confirmed the robustness of our findings, and Egger's test indicated no publication bias.

conclusionsOur data demonstrated that metformin administration results in a modest but significant effect in reducing LVMI, particularly over longer treatment durations and in non-diabetic individuals. However, its impact on other echocardiographic parameters remains uncertain. Despite the need for further research (experimental and clinical), our study supports metformin as a therapeutic strategy for optimizing cardiovascular benefits in diabetic and non-diabetic patients at risk of cardiac hypertrophy.

Indexed as

Cardiovascular riskLeft ventricular mass indexMeta-analysisMetforminMyocardial hypertrophy

Identifiers

PMID41354975
PMCPMC12797440

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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 Socratic graph.