Assessment of reporting practices and reproducibility potential of a cohort of published studies in computational knee biomechanics.

Show simple item record

dc.contributor.author Halloran, Jason P
dc.contributor.author Abdollahi Nohouji, Neda
dc.contributor.author Hafez, Mhd A
dc.contributor.author Besier, Thor F
dc.contributor.author Chokhandre, Snehal K
dc.contributor.author Elmasry, Shady
dc.contributor.author Hume, Donald R
dc.contributor.author Imhauser, Carl W
dc.contributor.author Rooks, Nynke B
dc.contributor.author Schneider, Marco TY
dc.contributor.author Schwartz, Ariel
dc.contributor.author Shelburne, Kevin B
dc.contributor.author Zaylor, William
dc.contributor.author Erdemir, Ahmet
dc.coverage.spatial United States
dc.date.accessioned 2022-06-26T23:15:11Z
dc.date.available 2022-06-26T23:15:11Z
dc.date.issued 2022-05-03
dc.identifier.citation (2022). Journal of Orthopaedic Research.
dc.identifier.issn 0736-0266
dc.identifier.uri https://hdl.handle.net/2292/60136
dc.description.abstract Reproducible research serves as a pillar of the scientific method and is a foundation for scientific advancement. However, estimates for irreproducibility of preclinical science range from 75% to 90%. The importance of reproducible science has not been assessed in the context of mechanics-based modeling of human joints such as the knee, despite this being an area that has seen dramatic growth. Framed in the context of five experienced teams currently documenting knee modeling procedures, the aim of this study was to evaluate reporting and the perceived potential for reproducibility across studies the teams viewed as important contributions to the literature. A cohort of studies was selected by polling, which resulted in an assessment of nine studies as opposed to a broader analysis across the literature. Using a published checklist for reporting of modeling features, the cohort was evaluated for both "reporting" and their potential to be "reproduced," which was delineated into six major modeling categories and three subcategories. Logistic regression analysis revealed that for individual modeling categories, the proportion of "reported" occurrences ranged from 0.31, 95% confidence interval (CI) [0.23, 0.41] to 0.77, 95% CI: [0.68, 0.86]. The proportion of whether a category was perceived as "reproducible" ranged from 0.22, 95% CI: [0.15, 0.31] to 0.44, 95% CI: [0.35, 0.55]. The relatively low ratios highlight an opportunity to improve reporting and reproducibility of knee modeling studies. Ongoing efforts, including our findings, contribute to a dialogue that facilitates adoption of practices that provide both credibility and translation possibilities.
dc.format.medium Print-Electronic
dc.language eng
dc.publisher Wiley
dc.relation.ispartofseries Journal of orthopaedic research : official publication of the Orthopaedic Research Society
dc.rights Items in ResearchSpace are protected by copyright, with all rights reserved, unless otherwise indicated. Previously published items are made available in accordance with the copyright policy of the publisher.
dc.rights.uri https://researchspace.auckland.ac.nz/docs/uoa-docs/rights.htm
dc.rights.uri https://creativecommons.org/licenses/by/4.0/
dc.subject biomechanics
dc.subject finite element analysis
dc.subject knee model
dc.subject reproducibility
dc.subject rigid-body analysis
dc.subject Clinical Research
dc.subject 0903 Biomedical Engineering
dc.subject 1103 Clinical Sciences
dc.subject 1106 Human Movement and Sports Sciences
dc.title Assessment of reporting practices and reproducibility potential of a cohort of published studies in computational knee biomechanics.
dc.type Journal Article
dc.identifier.doi 10.1002/jor.25358
dc.date.updated 2022-05-27T05:24:18Z
dc.rights.holder Copyright: The author en
dc.identifier.pmid 35502762 (pubmed)
pubs.author-url https://www.ncbi.nlm.nih.gov/pubmed/35502762
pubs.publication-status Published
dc.rights.accessrights http://purl.org/eprint/accessRights/OpenAccess en
pubs.subtype Journal Article
pubs.elements-id 900344
pubs.org-id Bioengineering Institute
pubs.org-id ABI Associates
dc.identifier.eissn 1554-527X
pubs.record-created-at-source-date 2022-05-27
pubs.online-publication-date 2022-05-22


Files in this item

Find Full text

This item appears in the following Collection(s)

Show simple item record

Share

Search ResearchSpace


Browse

Statistics