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Review
. 2023 Apr 7:33:101132.
doi: 10.1016/j.conctc.2023.101132. eCollection 2023 Jun.

The reporting quality and transparency of orthopaedic studies using Bayesian analysis requires improvement: A systematic review

Faris Bdair  1 , Sophia Mangala  2   3 , Imad Kashir  3 , Darren Young Shing  3 , John Price  4 , Murtaza Shoaib  5 , Breanne Flood  3 , Samera Nademi  6 , Lehana Thabane  2   3 , Kim Madden  3   7
Affiliations
Review

The reporting quality and transparency of orthopaedic studies using Bayesian analysis requires improvement: A systematic review

Faris Bdair et al. Contemp Clin Trials Commun. .

Abstract

Background: Bayesian methods are being used more frequently in orthopaedics. To advance the use and transparent reporting of Bayesian studies, reporting guidelines have been recommended. There is currently little known about the use or applications of Bayesian analysis in orthopedics including adherence to recommended reporting guidelines. The objective is to investigate the reporting of Bayesian analysis in orthopedic surgery studies; specifically, to evaluate if these papers adhere to reporting guidelines.

Methods: We searched PUBMED to December 2nd, 2020. Two reviewers independently identified studies and full-text screening. We included studies that focused on one or more orthopaedic surgical interventions and used Bayesian methods.

Results: After full-text review, 100 articles were included. The most frequent study designs were meta-analysis or network meta-analysis (56%, 95% CI 46-65) and cohort studies (25%, 95% CI 18-34). Joint replacement was the most common subspecialty (33%, 95% CI 25-43). We found that studies infrequently reported key concepts in Bayesian analysis including, specifying the prior distribution (37-39%), justifying the prior distribution (18%), the sensitivity to different priors (7-8%), and the statistical model used (22%). In contrast, general methodological items on the checklists were largely well reported.

Conclusions: There is an opportunity to improve reporting quality and transparency of orthopaedic studies using Bayesian analysis by encouraging adherence to reporting guidelines such as ROBUST, JASP, and BayesWatch. There is an opportunity to better report prior distributions, sensitivity analyses, and the statistical models used.

Keywords: Bayesian analysis; Orthopaedic surgery; Systematic review.

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Conflict of interest statement

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.

Figures

Fig. 1
Fig. 1
Study flow diagram.
See this image and copyright information in PMC

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