Evidence map›Paper›PMID 40432813›Full record

ArticleERJ open research2025

Association of novel antihyperglycaemic drugs

Yuya Kimura, Taisuke Jo, Norihiko Inoue, Maho Suzukawa, Hiroki Matsui, Yusuke Sasabuchi, Hideo Yasunaga

Abstract read
In one paragraph

Article in ERJ open research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Review
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

7 authors.

Yuya KimuraDepartment of Clinical Epidemiology and Health Economics, School of Public Health, The University of Tokyo, Tokyo, Japan.ORCID https://orcid.org/0000-0003-1649-0596
Taisuke JoDepartment of Clinical Epidemiology and Health Economics, School of Public Health, The University of Tokyo, Tokyo, Japan.
Norihiko InoueDepartment of Health Policy and Informatics, Tokyo Medical and Dental University Graduate School, Tokyo, Japan.
Maho SuzukawaClinical Research Center, NHO Tokyo National Hospital, Tokyo, Japan.
Hiroki MatsuiDepartment of Clinical Epidemiology and Health Economics, School of Public Health, The University of Tokyo, Tokyo, Japan.
Yusuke SasabuchiDepartment of Real-world Evidence, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Hideo YasunagaDepartment of Clinical Epidemiology and Health Economics, School of Public Health, The University of Tokyo, Tokyo, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Dipeptidyl peptidase-4 inhibitors (DPP-4 Is), glucagon-like peptidase 1 receptor agonists (GLP-1 RAs) and sodium glucose co-transporter-2 inhibitors (SGLT-2 Is) may contribute to better control of COPD due to their anti-inflammatory effects, like those observed with metformin. We aimed to investigate the association of these novel antihyperglycaemic drugs Methods: Using the national administrative database covering 99% of the medical facilities in Japan, we constructed three active comparators new-user cohorts comprising 36 317 patients with T2DM and COPD who initiated treatment with the novel antihyperglycaemic drugs and metformin between 2014 and 2022. Patients' backgrounds were balanced using overlap propensity score weighting. We calculated the hazard ratios (HRs) and their 95% confidence intervals (CIs) for the initial occurrence of COPD exacerbation requiring systemic corticosteroids using a weighted Cox proportional hazards model. Results: DPP-4 Is were associated with a higher incidence of exacerbations requiring systemic corticosteroids (22.4 Conclusions: While DPP-4 Is were associated with poorer control of COPD compared with metformin, GLP-1 RAs and SGLT-2 Is offered COPD control comparable with that of metformin.

Identifiers

PMID40432813
PMCPMC12107380

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Registered trials

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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 OpenQuestion graph.