Evidence map›Paper›PMID 24074941›Full record

ArticleJournal of biomechanics2013

Subject-specific knee joint geometry improves predictions of medial tibiofemoral contact forces.

Pauline Gerus, Massimo Sartori, Thor F Besier, Benjamin J Fregly, Scott L Delp, Scott A Banks, Marcus G Pandy, Darryl D D'Lima, David G Lloyd

Abstract read
In one paragraph

Article in Journal of biomechanics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 78 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
78citing papers in PubMed, 1 pooled it
–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

78 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Trial
  4. Predictors of knee joint loading after anterior cruciate ligament reconstruction.Journal of orthopaedic research : official publication of the Orthopaedic Research Society · 2017
    Trial
  5. Review
  6. Joint Reaction Forces Decrease Following Total Knee Arthroplasty up to 12-Months Post-Surgery.Journal of orthopaedic research : official publication of the Orthopaedic Research Society · 2026
    Article
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  11. [Three-dimensional human-robot mechanics modeling for dual-arm nursing-care robot transfer based on individualized musculoskeletal multibody dynamics].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2025
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18 more citing papers are in PubMed but not listed here.

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

9 authors.

Pauline GerusCentre for Musculoskeletal Research, Griffith Health Institute, Griffith University, Southport, QLD, Australia. Electronic address: p.gerus@griffith.edu.au.
Massimo Sartori
Thor F Besier
Benjamin J Fregly
Scott L Delp
Scott A Banks
Marcus G Pandy
Darryl D D'Lima
David G Lloyd

Funding

Evaluation of In Vivo Knee Load Predictions using Instrumented ImplantsR01EB009351 · NIBIB · UNIVERSITY OF FLORIDA · PI D'LIMA, DARRYL D., FREGLY, BENJAMIN J · 2010 to 2013
$2.1M
NIBIB NIH HHS R01 EB009351NIBIB NIH HHS R01-EB009351
6 · The paper itself

Abstract

Estimating tibiofemoral joint contact forces is important for understanding the initiation and progression of knee osteoarthritis. However, tibiofemoral contact force predictions are influenced by many factors including muscle forces and anatomical representations of the knee joint. This study aimed to investigate the influence of subject-specific geometry and knee joint kinematics on the prediction of tibiofemoral contact forces using a calibrated EMG-driven neuromusculoskeletal model of the knee. One participant fitted with an instrumented total knee replacement walked at a self-selected speed while medial and lateral tibiofemoral contact forces, ground reaction forces, whole-body kinematics, and lower-limb muscle activity were simultaneously measured. The combination of generic and subject-specific knee joint geometry and kinematics resulted in four different OpenSim models used to estimate muscle-tendon lengths and moment arms. The subject-specific geometric model was created from CT scans and the subject-specific knee joint kinematics representing the translation of the tibia relative to the femur was obtained from fluoroscopy. The EMG-driven model was calibrated using one walking trial, but with three different cost functions that tracked the knee flexion/extension moments with and without constraint over the estimated joint contact forces. The calibrated models then predicted the medial and lateral tibiofemoral contact forces for five other different walking trials. The use of subject-specific models with minimization of the peak tibiofemoral contact forces improved the accuracy of medial contact forces by 47% and lateral contact forces by 7%, respectively compared with the use of generic musculoskeletal model.

Indexed as

Models, BiologicalAdultAlgorithmsBiomechanical PhenomenaCalibrationElectromyographyExercise TestFemurGaitHumansKnee JointMaleMechanical PhenomenaMuscle, SkeletalNeuromuscular MonitoringTendonsContact forceEMG-driven modelingKnee joint modelMuscle force

Identifiers

PMID24074941
PMCPMC3888900

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.