Evidence map›Paper›PMID 31166589›Full record

ReviewJournal of biomechanical engineering2019

Deciphering the "Art" in Modeling and Simulation of the Knee Joint: Overall Strategy.

Ahmet Erdemir, Thor F Besier, Jason P Halloran, Carl W Imhauser, Peter J Laz, Tina M Morrison, Kevin B Shelburne

Abstract readReview
In one paragraph

Review in Journal of biomechanical engineering, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing 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

26 citing papers in PubMed.

  1. Rapid personalized computational modeling of the wrist.Medical engineering & physics · 2026
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  7. Validating subject-specific knee models fromFrontiers in bioengineering and biotechnology · 2025
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  12. Reproducibility in modeling and simulation of the knee: Academic, industry, and regulatory perspectives.Journal of orthopaedic research : official publication of the Orthopaedic Research Society · 2023
    Review
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  16. Assessment of reporting practices and reproducibility potential of a cohort of published studies in computational knee biomechanics.Journal of orthopaedic research : official publication of the Orthopaedic Research Society · 2023
    Article
  17. Article
  18. A Parameter Sensitivity Analysis on Multiple Finite Element Knee Joint Models.Frontiers in bioengineering and biotechnology · 2022
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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

7 authors.

Ahmet ErdemirDepartment of Biomedical Engineering and Computational Biomodeling (CoBi) Core, Lerner Research Institute, Cleveland Clinic, 9500 Euclid Avenue (ND20), Cleveland, OH 44195 e-mail: .
Thor F BesierDepartment of Engineering Science, Auckland Bioengineering Institute, University of Auckland, Auckland 1010, New Zealand.
Jason P HalloranDepartment of Mechanical Engineering, Center for Human Machine Systems, Cleveland State University, Cleveland, OH 44115.
Carl W ImhauserDepartment of Biomechanics, Hospital for Special Surgery, New York, NY 10021.
Peter J LazDepartment of Mechanical and Materials Engineering, Center for Orthopaedic Biomechanics, University of Denver, Denver, CO 80210.
Tina M MorrisonDivision of Applied Mechanics, Office of Science and Engineering Laboratories, Center for Devices and Radiological Health, Food and Drug Administration, Silver Spring, MD 20993.
Kevin B ShelburneDepartment of Mechanical and Materials Engineering, Center for Orthopaedic Biomechanics, University of Denver, Denver, CO 80210.

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
Open Knee(s): Virtual Biomechanical Representations of the Knee JointR01GM104139 · NIGMS · CLEVELAND CLINIC LERNER COM-CWRU · PI ERDEMIR, AHMET · 2013 to 2016
$2.1M
A Multi-Scale Finite Element Musculoskeletal Modeling Framework Applied to CurrenR01EB015497 · NIBIB · UNIVERSITY OF DENVER (COLORADO SEMINARY) · PI SHELBURNE, KEVIN B · 2012 to 2015
$1.1M
NIBIB NIH HHS R01 EB015497NIBIB NIH HHS R01 EB024573NIGMS NIH HHS R01 GM104139
6 · The paper itself

Abstract

Recent explorations of knee biomechanics have benefited from computational modeling, specifically leveraging advancements in finite element analysis and rigid body dynamics of joint and tissue mechanics. A large number of models have emerged with different levels of fidelity in anatomical and mechanical representation. Adapted modeling and simulation processes vary widely, based on justifiable choices in relation to anticipated use of the model. However, there are situations where modelers' decisions seem to be subjective, arbitrary, and difficult to rationalize. Regardless of the basis, these decisions form the "art" of modeling, which impact the conclusions of simulation-based studies on knee function. These decisions may also hinder the reproducibility of models and simulations, impeding their broader use in areas such as clinical decision making and personalized medicine. This document summarizes an ongoing project that aims to capture the modeling and simulation workflow in its entirety-operation procedures, deviations, models, by-products of modeling, simulation results, and comparative evaluations of case studies and applications. The ultimate goal of the project is to delineate the art of a cohort of knee modeling teams through a publicly accessible, transparent approach and begin to unravel the complex array of factors that may lead to a lack of reproducibility. This manuscript outlines our approach along with progress made so far. Potential implications on reproducibility, on science, engineering, and training of modeling and simulation, on modeling standards, and on regulatory affairs are also noted.

Indexed as

Mechanical PhenomenaModels, BiologicalBiomechanical PhenomenaHumansKnee Joint

Identifiers

PMID31166589
PMCPMC6611350

What OpenQuestion holds

Textmetadata
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.