Evidence map›Paper›PMID 39805811›Full record

ArticlePharmacoepidemiology and drug safety2025

Glucagon-Like Peptide 1 Receptor Agonists and Chronic Lower Respiratory Disease Among Type 2 Diabetes Patients: Replication and Reliability Assessment Across a Research Network.

Mitchell M Conover, Yasser Albogami, Jill Hardin, Christian G Reich, Anna Ostropolets, Patrick B Ryan, Observational Health Data Sciences and Informatics (OHDSI) Research Network

Abstract readNetwork Meta-Analysis
In one paragraph

Article in Pharmacoepidemiology and drug safety, 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

7 authors.

Mitchell M ConoverObservational Health Data Science and Informatics, New York, New York, USA.
Yasser AlbogamiObservational Health Data Science and Informatics, New York, New York, USA.ORCID 0000-0002-2816-6526
Jill HardinObservational Health Data Science and Informatics, New York, New York, USA.ORCID 0000-0003-2682-2187
Christian G ReichObservational Health Data Science and Informatics, New York, New York, USA.
Anna OstropoletsObservational Health Data Science and Informatics, New York, New York, USA.
Patrick B RyanObservational Health Data Science and Informatics, New York, New York, USA.
Observational Health Data Sciences and Informatics (OHDSI) Research Network

Funding

Janssen Research & Development, a Johnson & Johnson CompanyObservational Health Data Sciences and Informatics (OHDSI) Research Network
6 · The paper itself

Abstract

introductionThe aim of this study is to use observational methods to evaluate reliability of evidence generated by a study of the effect of glucagon-like peptide 1 receptor agonists (GLP-1RA) on chronic lower respiratory disease (CLRD) outcomes among Type-2 diabetes mellitus (T2DM) patients. RESEARCH DESIGN AND

methodsWe independently reproduced a study comparing effects of GLP-1RA versus dipeptidyl peptidase-4 inhibitors (DPP4-i) on CLRD outcomes among patients with T2DM and prior CLRD. We reproduced inputs and outputs using the original study data (national administrative claims) and evaluated the robustness of results in comparison to alternate design/analysis decisions. To evaluate generalizability, we applied an analysis protocol and conducted a meta-analysis across a research network that includes a diverse array of populations and data sources. We also produced additional analyses evaluating individual drugs within the GLP-1RA class and CLRD outcomes.

resultsWe confirmed alignment of study inputs and outputs and closely reproduced effect estimates and sensitivity analyses. Adjusted effect estimates were robust to empirical calibration. Network meta-analysis confirmed original findings but indicated weaker effects than originally published. Meta-analysis of drugs within the GLP-1RA class against DPP4-i provided evidence that effects vary within the GLP-1RA class, indicating stronger effects for exenatide and weaker effects of dulaglutide.

conclusionsThis study supports and establishes the reliability of the original study by (1) producing consistent findings in a range of alternate databases and populations, (2) demonstrating effects for multiple drugs within the GLP-1RA class, and (3) independently confirming the reproducibility of the original study and its findings. This reliability evaluation provides the beginnings of a broader framework for using standardized tools and distributed data networks to systematically interrogate the reliability of findings generated using observational data.

Indexed as

Diabetes Mellitus, Type 2Glucagon-Like Peptide-1 Receptor AgonistsHypoglycemic AgentsDipeptidyl-Peptidase IV InhibitorsFemaleHumansMaleReproducibility of ResultsResearch DesignDipeptidyl-Peptidase IV InhibitorsGlucagon-Like Peptide-1 Receptor AgonistsHypoglycemic Agentschronic lower respiratory diseasecommon data modelglucagon‐like peptide 1 receptor agonistspharmacoepidemiologyreal world datareal world evidencereliabilityreplicabilityreproducibilitytransparency

Identifiers

PMID39805811
PMCPMC11730806

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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.