Too good to be true: Are GLP-1 receptor agonists the new metformin?

Cancer Diabetes mellitus Glucagon-like peptide-1 receptor agonist Immortal time bias Metformin Time-lag bias

Journal

Journal of diabetes and its complications
ISSN: 1873-460X
Titre abrégé: J Diabetes Complications
Pays: United States
ID NLM: 9204583

Informations de publication

Date de publication:
30 Aug 2024
Historique:
received: 17 07 2024
revised: 21 08 2024
accepted: 25 08 2024
medline: 6 9 2024
pubmed: 6 9 2024
entrez: 5 9 2024
Statut: aheadofprint

Résumé

Recently, a health-care database study showed that persons with type 2 diabetes taking GLP-1 receptor agonists (GLP-1 RA) had a significantly lower risk of 10 out of 13 obesity-related cancers than patients taking insulin (Wang L, et al. JAMA Netw Open. 2024 7: e2421305). For some cancers, hazard ratios <0.5 were reported. This is reminiscent of studies published >10 years ago showing that people with type 2 diabetes taking metformin had a lower risk of many types of cancer than those not taking metformin. In some studies, also risk reductions of >50 % were reported. The strong effects observed in the metformin studies were explained by time-related biases, in particular, immortal time bias. In the current GLP-1 RA study, it was striking that the curves for the cumulative incidence of several cancers in GLP-1 RA and insulin users diverged immediately after therapy onset. This indicates that there is most likely a time-related bias: insulin is given at much later stages of type 2 diabetes than GLP-1 RA. The current study suggests that one should be sceptical about database results when spectacular risk reductions are reported. Time-related bias should always be considered as an alternative explanation.

Identifiants

pubmed: 39236411
pii: S1056-8727(24)00177-6
doi: 10.1016/j.jdiacomp.2024.108851
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

108851

Informations de copyright

Copyright © 2024 Elsevier Inc. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Bernd Kowall (B)

Institute for Medical Informatics, Biometry and Epidemiology, University Hospital Essen, Germany. Electronic address: bernd.kowall@uk-essen.de.

Gregor Maier (G)

Institute for Biometrics and Epidemiology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich Heine University Düsseldorf, Germany.

Wolfgang Rathmann (W)

Institute for Biometrics and Epidemiology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich Heine University Düsseldorf, Germany.

Classifications MeSH