dc.contributor.author | Bdair, Faris | |
dc.contributor.author | Mangala, Sophia | |
dc.contributor.author | Kashir, Imad | |
dc.contributor.author | Shing, Darren Young | |
dc.contributor.author | Price, John | |
dc.contributor.author | Shoaib, Murtaza | |
dc.contributor.author | Flood, Breanne | |
dc.contributor.author | Nademi, Samera | |
dc.contributor.author | Thabane, Lehana | |
dc.contributor.author | Madden, Kim | |
dc.date.accessioned | 2023-05-30T15:27:06Z | |
dc.date.available | 2023-05-30T15:27:06Z | |
dc.date.issued | 2023-04-07 | |
dc.identifier.citation | Bdair, F., Mangala, S., Kashir, I., Young Shing, D., Price, J., Shoaib, M., Flood, B., Nademi, S., Thabane, L., & Madden, K. (2023). The reporting quality and transparency of orthopaedic studies using Bayesian analysis requires improvement: A systematic review. Contemporary clinical trials communications, 33, 101132. https://doi.org/10.1016/j.conctc.2023.101132 | en_US |
dc.identifier.uri | https://hdl.handle.net/1808/34229 | |
dc.description.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. | en_US |
dc.publisher | Elsevier | en_US |
dc.rights | © 2023 The Authors. Published by Elsevier Inc. This is an open access article under the CC BY-NC-ND license. | en_US |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | en_US |
dc.subject | Bayesian analysis | en_US |
dc.subject | Systematic review | en_US |
dc.subject | Orthopaedic surgery | en_US |
dc.title | The reporting quality and transparency of orthopaedic studies using Bayesian analysis requires improvement: A systematic review | en_US |
dc.type | Article | en_US |
kusw.kuauthor | Shoaib, Murtaza | |
kusw.kudepartment | Molecular Biosciences | en_US |
dc.identifier.doi | 10.1016/j.conctc.2023.101132 | en_US |
dc.identifier.orcid | https://orcid.org/0000-0002-2861-9636 | en_US |
kusw.oaversion | Scholarly/refereed, publisher version | en_US |
kusw.oapolicy | This item meets KU Open Access policy criteria. | en_US |
dc.identifier.pmid | PMC10130591 | en_US |
dc.rights.accessrights | openAccess | en_US |