Propensity score matching in otolaryngologic literature: A systematic review and critical appraisal

Aman Prasad, Max Shin, Ryan M Carey, Kevin Chorath, Harman Parhar, Scott Appel, Alvaro Moreira and Karthik Rajasekaran

PLOS ONE, 2020, vol. 15, issue 12, 1-16

Abstract: Background: Propensity score techniques can reduce confounding and bias in observational studies. Such analyses are able to measure and balance pre-determined covariates between treated and untreated groups, leading to results that can approximate those generated by randomized prospective studies when such trials are not feasible. The most commonly used propensity score -based analytic technique is propensity score matching (PSM). Although PSM popularity has continued to increase in medical literature, improper methodology or methodological reporting may lead to biased interpretation of treatment effects or limited scientific reproducibility and generalizability. In this study, we aim to characterize and assess the quality of PSM methodology reporting in high-impact otolaryngologic literature. Methods: PubMed and Embase based systematic review of the top 20 journals in otolaryngology, as measured by impact factor from the Journal Citations Reports from 2012 to 2018, for articles using PSM analysis throughout their publication history. Eligible articles were reviewed and assessed for quality and reporting of PSM methodology. Results: Our search yielded 101 studies, of which 92 were eligible for final analysis and review. The proportion of studies utilizing PSM increased significantly over time (p

Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0244423

DOI: 10.1371/journal.pone.0244423

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