Evidence mapPaperPMID 41953033Full record

ArticleFrontiers in immunology2026

Metformin use and the risk of incident immune-mediated diseases in patients with type 2 diabetes: a population-based cohort study.

Qianru Zhang, Fu-Shun Yen, Chuanhui Xu, Cheng-Li Lin, Hei-Tung Yip, Chii-Min Hwu, James Cheng-Chung Wei, Chih-Cheng Hsu

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Article in Frontiers in immunology, 2026. 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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1 · What the graph read from it

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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

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Qianru Zhang *Department of Rheumatology and Immunology, Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua University, Beijing, China.
Fu-Shun Yen *Dr. Yen's Clinic, Taoyuan, Taiwan.
Chuanhui XuDepartment of Rheumatology, Allergy and Immunology, Tan Tock Seng Hospital, Singapore, Singapore.
Cheng-Li LinManagement office for Health Data, China Medical University Hospital, Taichung, Taiwan.
Hei-Tung YipManagement office for Health Data, China Medical University Hospital, Taichung, Taiwan.
Chii-Min HwuSection of Endocrinology and Metabolism, Department of Medicine, Taipei Veterans General Hospital, Taipei, Taiwan.
James Cheng-Chung WeiDepartment of Allergy, Immunology & Rheumatology, Chung Shan Medical University Hospital, Taichung, Taiwan.
Chih-Cheng HsuInstitute of Population Health Sciences, National Health Research Institutes, Zhunan, Taiwan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: To investigate the association between metformin use and risks of incident immune-mediated diseases (IMDs) among patients with type-2 diabetes mellitus (T2DM). Methods: We conducted a retrospective cohort study using the National Health Insurance Research Database, including patients newly diagnosed with T2DM between 2000 and 2017 and followed until the end of 2018. Patients receiving metformin for ≥28 days were identified as users, and propensity score matching (1:1) was applied to balance baseline characteristics. The primary outcome was incident IMDs. Secondary outcomes included IMD-related hospitalization and all-cause mortality. Dose-response analyses were performed according to cumulative metformin exposure (<182 days, 182-364 days, >364 days). Hazard ratios (HRs) and 95% confidence intervals (CIs) were estimated using Cox proportional hazards models. Results: After propensity score matching, 20,460 metformin users and 20,460 non-users were included. Metformin use was associated with a higher risk of incident IMDs (adjusted HR 2.36, 95%CI 2.09-2.67). Metformin users also had a higher risk of IMD-related hospitalization (adjusted HR 2.44, 95%CI 1.94-3.05), but a lower observed risk of all-cause mortality (adjusted HR 0.64, 95%CI 0.60-0.68) compared with non-users. Longer cumulative metformin exposure was associated with progressively higher risks of IMDs and IMD-related hospitalization, whereas all-cause mortality decreased with longer use. Conclusion: In patients with T2DM, metformin use was associated with increased risks of incident IMDs and IMD-related hospitalization but a lower observed risk of all-cause mortality. These findings highlight the dual immunometabolic effects of metformin and underscore the need for individualized monitoring and further mechanistic research.

Indexed as

Diabetes Mellitus, Type 2Hypoglycemic AgentsMetforminAdultAgedFemaleHospitalizationHumansIncidenceMaleMiddle AgedRetrospective StudiesRisk FactorsHypoglycemic AgentsMetformincohort studyimmune-mediated diseasesincidencemetformintype 2 diabetes mellitus

Identifiers

PMID41953033
PMCPMC13055625

What Socratic holds

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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.