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

This 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.

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Publication Details

Journal
Pharmacoepidemiology and Drug Safety
Published
2025-01-01
DOI
https://doi.org/10.1002/pds.70087
Citations
3
Primary Topic
Pharmaceutical Practices and Patient Outcomes
Type
article
Field-Weighted Citation Impact
3.67

Funders

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article

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

Jill Hardin, Christian Reich, Anna Ostropolets, Yasser Albogami et al.
3 citations
Pharmacoepidemiology and Drug Safety
Pharmaceutical Practices and Patient Outcomes
3.67
article

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

Jill Hardin, Christian Reich, Anna Ostropolets, Yasser Albogami, Patrick B. Ryan, Mitchell M. Conover
article en
3 citations

Abstract

This 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.

Pharmacoepidemiology and Drug SafetyVol. 34(1)
Johnson & Johnson (United States) (US), King Saud University (SA), IQVIA (United States) (US), IQ Solutions (US), Columbia University (US)
Janssen Research and Development
Openalex Percentile: Top 9%
Pharmaceutical Practices and Patient Outcomes
3.67
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