Evidence map›Paper›PMID 32002734›Full record

ArticleAnnals of biomedical engineering2020

The Capacity of Generic Musculoskeletal Simulations to Predict Knee Joint Loading Using the CAMS-Knee Datasets.

Zohreh Imani Nejad, Khalil Khalili, Seyyed Hamed Hosseini Nasab, Pascal Schütz, Philipp Damm, Adam Trepczynski, William R Taylor, Colin R Smith

Erratum issuedAbstract read
In one paragraph

Article in Annals of biomedical engineering, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Zohreh Imani NejadDepartment of Mechanical Engineering, University of Birjand, Birjand, Iran.
Khalil KhaliliDepartment of Mechanical Engineering, University of Birjand, Birjand, Iran.
Seyyed Hamed Hosseini NasabInstitute for Biomechanics, ETH Zurich, Leopold-Ruzicka-Weg 4, 8093, Zurich, Switzerland.
Pascal SchützInstitute for Biomechanics, ETH Zurich, Leopold-Ruzicka-Weg 4, 8093, Zurich, Switzerland.
Philipp DammJulius Wolff Institute, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany.
Adam TrepczynskiJulius Wolff Institute, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany.
William R TaylorInstitute for Biomechanics, ETH Zurich, Leopold-Ruzicka-Weg 4, 8093, Zurich, Switzerland. bt@ethz.ch.ORCID http://orcid.org/0000-0003-4060-4098
Colin R SmithInstitute for Biomechanics, ETH Zurich, Leopold-Ruzicka-Weg 4, 8093, Zurich, Switzerland.

Funding

Tech-DevelopmentP2CHD065690 · NICHD · STANFORD UNIVERSITY · PI DELP, SCOTT L · 2015 to 2019
$5.4M
NICHD NIH HHS P2C HD065690NIH National Center for Simulation in Rehabilitation Research 5P2CHD065690-09the Gernman Research Foundation (DFG) TR 1657/1-1
6 · The paper itself

Abstract

Musculoskeletal models enable non-invasive estimation of knee contact forces (KCFs) during functional movements. However, the redundant nature of the musculoskeletal system and uncertainty in model parameters necessitates that model predictions are critically evaluated. This study compared KCF and muscle activation patterns predicted using a scaled generic model and OpenSim static optimization tool against in vivo measurements from six patients in the CAMS-knee datasets during level walking and squatting. Generally, the total KCFs were under-predicted (RMS: 47.55%BW, R

Indexed as

Models, BiologicalAgedBiomechanical PhenomenaComputer SimulationFemaleHumansKnee JointMaleMiddle AgedMovementMuscle, SkeletalCAMS-kneeEMGInstrumented knee implantsKnee contact forceLevel walkingMusculoskeletal modelingOpenSimSquat

Identifiers

PMID32002734
PMCPMC7089909

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.