Evidence mapPaperPMID 40433308Full record

ArticleBMJ medicine2025

Metformin for covid-19: systematic review and meta-analysis of randomised controlled trials.

Saifur R Chowdhury, Nazmul Islam, Qi Zhou, Md Kamrul Hasan, Mahmudur Rahman Chowdhury, Reed Ac Siemieniuk, Arnav Agarwal, Romina Brignardello-Petersen, Thomas Agoritsas, Per Olav Vandvik and 2 more

Abstract read
In one paragraph

Article in BMJ medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

12 authors.

Saifur R ChowdhuryDepartment of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, ON, Canada.ORCID 0000-0003-4361-0792
Nazmul IslamDepartment of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, ON, Canada.
Qi ZhouDepartment of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, ON, Canada.
Md Kamrul HasanDepartment of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, ON, Canada.
Mahmudur Rahman ChowdhuryDepartment of Public Health, North South University, Dhaka, Bangladesh.
Reed Ac SiemieniukDepartment of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, ON, Canada.ORCID 0000-0002-3725-3031
Arnav AgarwalDepartment of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, ON, Canada.ORCID 0000-0002-0931-7851
Romina Brignardello-PetersenDepartment of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, ON, Canada.
Thomas AgoritsasDepartment of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, ON, Canada.
Per Olav VandvikMAGIC Evidence Ecosystem Foundation, Oslo, Norway.
Dena ZeraatkarDepartment of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, ON, Canada.
Gordon GuyattDepartment of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, ON, Canada.ORCID 0000-0003-2352-5718

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To summarise the effects of metformin on covid-19 to inform a World Health Organization (WHO) clinical practice guideline. Design: Systematic review and meta-analysis. Data sources: As part of a living systematic review and network meta-analysis of drug treatments for covid-19 (covid-19 LNMA), a search was performed of the WHO covid-19 database, six Chinese databases, and the Epistemonikos Foundation's Living Overview of the Evidence covid-19 Repository (covid-19 L-OVE). Eligibility criteria for selecting studies: Randomised controlled trials that compared metformin with placebo in patients with acute covid-19 infection. Data synthesis: Frequentist pairwise meta-analyses were performed using the restricted maximum likelihood random effects model. The effects of interventions on selected outcomes were summarised using risk ratios, risk difference, and mean difference when appropriate, along with their corresponding 95% confidence intervals (CIs). To estimate absolute effects, the control arm event rate was used as the baseline risk. The risk of bias of the included studies was assessed using a modification of the Cochrane risk of bias 2.0 tool and the certainty of evidence using the GRADE (grading of recommendations assessment, development and evaluation) approach, with the minimally important difference in effect as the threshold. Results: Three randomised controlled trials of 1869 patients were included; one study provided long term follow-up on long covid. Metformin might have little or no impact on mortality (risk ratio 0.76, 95% CI 0.30 to 1.90; risk difference 3 fewer per 1000, 95% CI 8 fewer to 11 more; low certainty). The effects of metformin on admission to hospital because of covid-19 remain uncertain (risk ratio 0.74, 95% CI 0.28 to 1.95; risk difference 15 fewer per 1000, 95% CI 42 fewer to 55 more; very low certainty). Metformin results in little or no difference in adverse effects leading to discontinuation (risk difference 0.2 more per 1000, 95% CI 2.7 fewer to 3.1 more; high certainty). Metformin might decrease the development of long covid (risk ratio 0.6, 95% CI 0.4 to 0.9; risk difference 41 fewer per 1000, 95% CI 62 fewer to 10 fewer; low certainty). However, the effect is based on a single trial of 1126 patients, which has a high risk of bias owing to missing data, and nearly half of the participants were unvaccinated. Conclusions: Current evidence based on randomised trials suggests no significant effect of metformin on acute clinical outcomes in patients with non-severe covid-19. Metformin might reduce the incidence of long covid when used to treat patients with non-severe acute covid-19 infection, but this was suggested by low certainty evidence from a single trial.

Indexed as

COVID-19

Identifiers

PMID40433308
PMCPMC12107632

What Socratic holds

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LicenceCC BY-NC
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Registered trials

None linked

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.