Literature DB >> 32124472

Incretin-based drugs and risk of lung cancer among individuals with type 2 diabetes.

J Rouette1,2, H Yin1, O H Y Yu1,3, N Bouganim4,5, R W Platt1,2, L Azoulay1,2,4.   

Abstract

AIM: To assess whether dipeptidyl peptidase-4 inhibitors and glucagon-like peptide-1 receptor agonists are associated with an increased lung cancer risk among individuals with type 2 diabetes.
METHODS: We conducted a population-based cohort study using the UK Clinical Practice Research Datalink. We identified 130 340 individuals newly treated with antidiabetes drugs between January 2007 and March 2017, with follow-up until March 2018. We used a time-varying approach to model use of dipeptidyl peptidase-4 inhibitors and glucagon-like peptide-1 receptor agonists compared with use of other second- or third-line antidiabetes drugs. We used Cox proportional hazards models to estimate the adjusted hazard ratios, with 95% CIs, of incident lung cancer associated with use of dipeptidyl peptidase-4 inhibitors and glucagon-like peptide-1 receptor agonists, separately, by cumulative duration of use, and by time since initiation.
RESULTS: A total of 790 individuals were newly diagnosed with lung cancer (median follow-up 4.6 years, incidence rate 1.5/1000 person-years, 95% CI 1.4-1.6). Compared with use of second-/third-line drugs, use of dipeptidyl peptidase-4 inhibitors and glucagon-like peptide-1 receptor agonists was not associated with an increased lung cancer risk (hazard ratio 1.07, 95% CI 0.87-1.32, and hazard ratio 1.02, 95% CI 0.68-1.54, respectively). There was no evidence of duration-response relationships.
CONCLUSIONS: In individuals with type 2 diabetes, use of incretin-based drugs was not associated with increased lung cancer risk. This article is protected by copyright. All rights reserved.

Entities:  

Year:  2020        PMID: 32124472     DOI: 10.1111/dme.14287

Source DB:  PubMed          Journal:  Diabet Med        ISSN: 0742-3071            Impact factor:   4.359


  2 in total

1.  High-Resolution Computer Tomography Image Features of Lungs for Patients with Type 2 Diabetes under the Faster-Region Recurrent Convolutional Neural Network Algorithm.

Authors:  Yumei He; Juan Tan; Xiuping Han
Journal:  Comput Math Methods Med       Date:  2022-04-25       Impact factor: 2.809

Review 2.  Metabolic Hormones Modulate Macrophage Inflammatory Responses.

Authors:  Matthew J Batty; Gwladys Chabrier; Alanah Sheridan; Matthew C Gage
Journal:  Cancers (Basel)       Date:  2021-09-17       Impact factor: 6.639

  2 in total

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