Evidence mapPaperPMID 39556360Full record

ArticleJAMA internal medicine2025

Antidiabetic Medication and Asthma Attacks.

Bohee Lee, Kenneth K C Man, Ernie Wong, Tricia Tan, Aziz Sheikh, Chloe I Bloom

Abstract read
In one paragraph

Article in JAMA internal medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

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

  1. Pooled it
  2. Pooled it
  3. Mechanisms and therapeutic strategies of asthma: from bench to bedside.Signal transduction and targeted therapy · 2026
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  11. Asthma endotypes and theratypes.Chinese medical journal pulmonary and critical care medicine · 2026
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Bohee LeeNational Heart and Lung Institute, Imperial College London, London, England.
Kenneth K C ManResearch Department of Practice and Policy, School of Pharmacy, University College London, London, England.
Ernie WongNational Heart and Lung Institute, Imperial College London, London, England.
Tricia TanDepartment of Metabolism, Digestion and Reproduction, Imperial College London, London, England.
Aziz SheikhAsthma UK Centre for Applied Research, Usher Institute, University of Edinburgh, Edinburgh, Scotland.
Chloe I BloomNational Heart and Lung Institute, Imperial College London, London, England.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: Elevated body mass index (BMI) and type 2 diabetes are prevalent in asthma and are associated with an increase in the risk of asthma attacks. In experimental studies, the diabetes medications metformin and glucagon-like peptide-1 receptor agonists (GLP-1RA) have mitigated airway inflammation, hyperresponsiveness, and remodeling. However, epidemiological evidence is limited. Objective: To estimate the association of metformin and add-on antidiabetic medications (GLP-1RA, dipeptidyl peptidase-4 inhibitors, sulphonylureas, sodium-glucose cotransporter-2 inhibitors, and insulin) with asthma attacks. Design, Setting, and Participants: The study used data from the UK Clinical Practice Research Datalink (CPRD) Aurum linked hospital admissions and mortality data from 2004 to 2020. A triangulation approach was used that applied 2 distinct approaches to enhance robustness: a self-controlled case series (SCCS) and a metformin new user cohort with inverse probability of treatment weighting (IPTW). Eligible participants were new users of metformin with type 2 diabetes. To evaluate the association between metabolic phenotypes (BMI, glycemic control) and asthma phenotypes (type 2 inflammation, asthma severity), interaction analyses were conducted. Negative control analyses were conducted to assess for bias. Exposure: The primary exposure was metformin; secondary exposures included add-on antidiabetic medications. Main Outcomes: The primary outcome was first asthma exacerbation (short course of oral corticosteroids, unscheduled asthma-related hospital attendance, or death) during 12-month follow-up. Incidence rate ratios (IRRs) with 95% CIs were estimated using fixed-effect conditional Poisson models in the SCCS, and hazard ratios (HRs) were estimated using weighted Cox proportional hazards models in the cohort. Results: Of more than 2 million adults with asthma, 4278 patients (2617 women [61.2%]; mean [SD] age, 52.9 [13.6] years) were identified for the SCCS and 8424 patients (4690 women [55.7%]; unexposed: mean [SD] age, 61.6 [13.2] years; exposed: mean [SD] age, 59.7 [13.7] years) for the IPTW cohort. Metformin was found to be associated with fewer asthma attacks of similar magnitude in both approaches (SCCS: IRR, 0.68; 95% CI, 0.62-0.75; IPTW: HR, 0.76; 95% CI, 0.67-0.85). Negative control analyses did not find evidence of significant bias. Hemoglobin A1c levels, BMI, blood eosinophil cell counts, and asthma severity did not modify the association. The only add-on antidiabetic medication to have an additive association was GLP-1RA (SCCS: IRR, 0.60; 95% CI, 0.49-0.73). Conclusions and Relevance: The results of this cohort study suggest that metformin was associated with a lower rate of asthma attacks, with further reductions with the use of GLP-1RA. This appeared to be associated with mechanisms other than through glycemic control or weight loss and occurred across asthma phenotypes.

Indexed as

AsthmaDiabetes Mellitus, Type 2Hypoglycemic AgentsMetforminAdultAgedBody Mass IndexFemaleHumansMaleMiddle AgedUnited KingdomHypoglycemic AgentsMetformin

Identifiers

PMID39556360
PMCPMC11574725

What Socratic holds

Texttitle and abstract
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 Socratic graph.