Evidence map›Paper›PMID 37227368›Full record

ArticleEpidemiology (Cambridge, Mass.)2023

Evaluating Metformin Strategies for Cancer Prevention: A Target Trial Emulation Using Electronic Health Records.

Barbra A Dickerman, Xabier García-Albéniz, Roger W Logan, Spiros Denaxas, Miguel A Hernán

Open access · greenAbstract read
In one paragraph

Article in Epidemiology (Cambridge, Mass.), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 1 pooled it
4.5field-weighted citation impact, top 5% of its field
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

22 citing papers in PubMed, 1 synthesis or guideline pooled it, 27 citations in OpenAlex.

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  5. Effect of Metformin on the Risk of Post-COVID-19 Condition Among Individuals With Overweight or Obese: A Population-based Retrospective Cohort Study.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2026
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 2 institutions in 2 countries.

Barbra A DickermanFrom the CAUSALab, Harvard T.H. Chan School of Public Health, Boston, MA.ORCID 0000-0003-2843-687
Xabier García-AlbénizFrom the CAUSALab, Harvard T.H. Chan School of Public Health, Boston, MA.
Roger W LoganFrom the CAUSALab, Harvard T.H. Chan School of Public Health, Boston, MA.
Spiros DenaxasInstitute of Health Informatics Research, University College London, London, UK.
Miguel A HernánFrom the CAUSALab, Harvard T.H. Chan School of Public Health, Boston, MA.
Harvard University · USThe Alan Turing Institute · GB

Funding

Identifying optimal dynamic strategies for prostate cancer controlR00CA248335 · NCI · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI DICKERMAN, BARBRA ANNE · 2022 to 2025
$688k
NCI NIH HHS R00 CA248335
6 · The paper itself

Abstract

backgroundMetformin users appear to have a substantially lower risk of cancer than nonusers in many observational studies. These inverse associations may be explained by common flaws in observational analyses that can be avoided by explicitly emulating a target trial.

methodsWe emulated target trials of metformin therapy and cancer risk using population-based linked electronic health records from the UK (2009-2016). We included individuals with diabetes, no history of cancer, no recent prescription for metformin or other glucose-lowering medication, and hemoglobin A1c (HbA1c) <64 mmol/mol (<8.0%). Outcomes included total cancer and 4 site-specific cancers (breast, colorectal, lung, and prostate). We estimated risks using pooled logistic regression with adjustment for risk factors via inverse-probability weighting. We emulated a second target trial among individuals regardless of diabetes status. We compared our estimates with those obtained using previously applied analytic approaches.

resultsAmong individuals with diabetes, the estimated 6-year risk differences (metformin - no metformin) were -0.2% (95% CI = -1.6%, 1.3%) in the intention-to-treat analysis and 0.0% (95% CI = -2.1%, 2.3%) in the per-protocol analysis. The corresponding estimates for all site-specific cancers were close to zero. Among individuals regardless of diabetes status, these estimates were also close to zero and more precise. By contrast, previous analytic approaches yielded estimates that appeared strongly protective.

conclusionsOur findings are consistent with the hypothesis that metformin therapy does not meaningfully influence cancer incidence. The findings highlight the importance of explicitly emulating a target trial to reduce bias in the effect estimates derived from observational analyses.

Indexed as

Diabetes MellitusDiabetes Mellitus, Type 2MetforminNeoplasmsElectronic Health RecordsHumansHypoglycemic AgentsMaleHypoglycemic AgentsMetformin

Identifiers

PMID37227368
PMCPMC10524586
OpenAlexW4378172772

What OpenQuestion holds

Texttitle and abstract
LicenceTDM
Read underepoch 390

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 OpenQuestion graph.