Evidence map›Paper›PMID 37350016›Full record

ReviewJournal of orthopaedic research : official publication of the Orthopaedic Research Society2023

Reproducibility in modeling and simulation of the knee: Academic, industry, and regulatory perspectives.

Carl W Imhauser, Andrew P Baumann, Xiangyi Cheryl Liu, Jeffrey E Bischoff, Nico Verdonschot, Benjamin J Fregly, Shady S Elmasry, Neda N Abdollahi, Donald R Hume, Nynke B Rooks and 6 more

Abstract readReview
In one paragraph

Review in Journal of orthopaedic research : official publication of the Orthopaedic Research Society, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

16 authors.

Carl W ImhauserDepartment of Biomechanics, Hospital for Special Surgery, New York, New York, USA.ORCID 0000-0003-2445-7112
Andrew P BaumannUS Food and Drug Administration, Office of Science and Engineering Laboratories, Center for Devices and Radiological Health, Division of Applied Mechanics, Silver Spring, Maryland, USA.ORCID 0000-0001-9872-8822
Xiangyi Cheryl LiuStryker Orthopaedics, Mahwah, New Jersey, USA.
Jeffrey E BischoffZimmer Biomet, Warsaw, Indiana, USA.
Nico VerdonschotDepartment of Biomechanical Engineering, Technical Medical Institute at University of Twente, Enschede, The Netherlands.
Benjamin J FreglyDepartment of Mechanical Engineering, Rice University, Houston, Texas, USA.
Shady S ElmasryDepartment of Biomechanics, Hospital for Special Surgery, New York, New York, USA.ORCID 0000-0003-0193-7711
Neda N AbdollahiCenter for Human Machine Systems, Cleveland State University, Cleveland, Ohio, USA.
Donald R HumeDepartment of Mechanical and Materials Engineering, University of Denver, Denver, Colorado, USA.
Nynke B RooksAuckland Bioengineering Institute, University of Auckland, Auckland, New Zealand.
Marco T-Y SchneiderAuckland Bioengineering Institute, University of Auckland, Auckland, New Zealand.ORCID 0000-0002-4918-1389
William ZaylorCenter for Human Machine Systems, Cleveland State University, Cleveland, Ohio, USA.
Thor F BesierAuckland Bioengineering Institute, University of Auckland, Auckland, New Zealand.ORCID 0000-0003-0818-7554
Jason P HalloranApplied Sciences Laboratory, Institute for Shock Physics, Washington State University, Spokane, Washington, USA.ORCID 0000-0001-5866-6583
Kevin B ShelburneDepartment of Mechanical and Materials Engineering, University of Denver, Denver, Colorado, USA.ORCID 0000-0003-3377-2712
Ahmet ErdemirDepartment of Biomedical Engineering, Lerner Research Institute, Cleveland Clinic, Cleveland, Ohio, USA.

Funding

Reproducibility in simulation-based prediction of natural knee mechanicsR01EB024573 · NIBIB · CLEVELAND CLINIC LERNER COM-CWRU · PI AHMET ERDEMIR, Jason Halloran · 2017 to 2026
$5.0M
NIBIB NIH HHS R01 EB024573NIBIB NIH HHS R01EB024573
6 · The paper itself

Abstract

Stakeholders in the modeling and simulation (M&S) community organized a workshop at the 2019 Annual Meeting of the Orthopaedic Research Society (ORS) entitled "Reproducibility in Modeling and Simulation of the Knee: Academic, Industry, and Regulatory Perspectives." The goal was to discuss efforts among these stakeholders to address irreproducibility in M&S focusing on the knee joint. An academic representative from a leading orthopedic hospital in the United States described a multi-institutional, open effort funded by the National Institutes of Health to assess model reproducibility in computational knee biomechanics. A regulatory representative from the United States Food and Drug Administration indicated the necessity of standards for reproducibility to increase utility of M&S in the regulatory setting. An industry representative from a major orthopedic implant company emphasized improving reproducibility by addressing indeterminacy in personalized modeling through sensitivity analyses, thereby enhancing preclinical evaluation of joint replacement technology. Thought leaders in the M&S community stressed the importance of data sharing to minimize duplication of efforts. A survey comprised 103 attendees revealed strong support for the workshop and for increasing emphasis on computational modeling at future ORS meetings. Nearly all survey respondents (97%) considered reproducibility to be an important issue. Almost half of respondents (45%) tried and failed to reproduce the work of others. Two-thirds of respondents (67%) declared that individual laboratories are most responsible for ensuring reproducible research whereas 44% thought that journals are most responsible. Thought leaders and survey respondents emphasized that computational models must be reproducible and credible to advance knee M&S.

Indexed as

Knee JointBiomechanical PhenomenaComputer SimulationReproducibility of ResultsUnited Statescredibilitykneemodelingregulatoryreproducibilitysimulation

Identifiers

PMID37350016
PMCPMC11345941

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.