Literature DB >> 33124647

Comparing New-User Cohort Designs: The Example of Proton Pump Inhibitor Effectiveness in Idiopathic Pulmonary Fibrosis.

Tanja Tran, Samy Suissa.   

Abstract

The prevalent new-user cohort design is useful for assessing the effectiveness of a medication in the absence of an active comparator. Alternative approaches, particularly in the presence of informative censoring, include a variant of this design based on never users of the study drug and the marginal structural Cox model approach. We compared these approaches in assessing the effectiveness of proton pump inhibitors (PPIs) in reducing mortality among patients with idiopathic pulmonary fibrosis (IPF) using a cohort of IPF patients identified in the United Kingdom's Clinical Practice Research Datalink and diagnosed between 2003 and 2016. The cohort included 2,944 IPF patients, 1,916 of whom initiated use of PPIs during follow-up. There were 2,136 deaths (mortality rate = 25.8 per 100 person-years). Using the conventional prevalent new-user design, we found a hazard ratio for death associated with PPI use compared with nonuse of 1.07 (95% confidence interval (CI): 0.94, 1.22). The variant of the prevalent new-user design comparing PPI users with never users found a hazard ratio of 0.82 (95% CI: 0.73, 0.91), while the marginal structural Cox model found a hazard ratio of 1.08 (95% CI: 0.85, 1.38). The marginal structural model and the conventional prevalent new-user design, both accounting for informative censoring, produced similar results. However, the prevalent new-user design variant based on never users introduced selection bias and should be avoided.
© The Author(s) 2020. Published by Oxford University Press on behalf of the Johns Hopkins Bloomberg School of Public Health. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Entities:  

Keywords:  cohort studies; comparative effectiveness research; idiopathic pulmonary fibrosis; informative censoring; pharmacoepidemiology; proton pump inhibitors

Year:  2021        PMID: 33124647      PMCID: PMC8096489          DOI: 10.1093/aje/kwaa242

Source DB:  PubMed          Journal:  Am J Epidemiol        ISSN: 0002-9262            Impact factor:   4.897


  29 in total

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Authors:  Mohammad Ehsanul Karim; Paul Gustafson; John Petkau; Yinshan Zhao; Afsaneh Shirani; Elaine Kingwell; Charity Evans; Mia van der Kop; Joel Oger; Helen Tremlett
Journal:  Am J Epidemiol       Date:  2014-06-17       Impact factor: 4.897

8.  Prevalent new-user cohort designs for comparative drug effect studies by time-conditional propensity scores.

Authors:  Samy Suissa; Erica E M Moodie; Sophie Dell'Aniello
Journal:  Pharmacoepidemiol Drug Saf       Date:  2016-09-09       Impact factor: 2.890

9.  Pleiotropic effect of the proton pump inhibitor esomeprazole leading to suppression of lung inflammation and fibrosis.

Authors:  Yohannes T Ghebremariam; John P Cooke; William Gerhart; Carol Griego; Jeremy B Brower; Melanie Doyle-Eisele; Benjamin C Moeller; Qingtao Zhou; Lawrence Ho; Joao de Andrade; Ganesh Raghu; Leif Peterson; Andreana Rivera; Glenn D Rosen
Journal:  J Transl Med       Date:  2015-08-01       Impact factor: 5.531

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Authors:  Helen E Jo; Tamera J Corte; Ian Glaspole; Christopher Grainge; Peter M A Hopkins; Yuben Moodley; Paul N Reynolds; Sally Chapman; E Haydn Walters; Christopher Zappala; Heather Allan; Gregory J Keir; Wendy A Cooper; Annabelle M Mahar; Samantha Ellis; Sacha Macansh; Nicole S Goh
Journal:  BMC Pulm Med       Date:  2019-05-03       Impact factor: 3.317

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