Evidence map›Paper›PMID 36196804›Full record

ArticleJournal of biomechanical engineering2023

Simulated Tibiofemoral Joint Reaction Forces for Three Previously Studied Gait Modifications in Healthy Controls.

Matt Prebble, Qi Wei, Joel Martin, Oladipo Eddo, Bryndan Lindsey, Nelson Cortes

Open access · greenAbstract read
In one paragraph

Article in Journal of biomechanical engineering, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.4field-weighted citation impact, top 36% of its field
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

0 citing papers in PubMed, 2 citations in OpenAlex.

No citing paper in PubMed yet.

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

6 authors at 3 institutions in 2 countries.

Matt PrebbleSports Medicine, Assessment, Research, and Testing (SMART) Laboratory, School of Kinesiology, George Mason University, Manassas, VA 20109.
Qi WeiDepartment of Bioengineering, George Mason University, Fairfax, VA 22030.
Joel MartinSports Medicine, Assessment, Research, and Testing (SMART) Laboratory, School of Kinesiology, George Mason University, Manassas, VA 20109.
Oladipo EddoSports Medicine, Assessment, Research, and Testing (SMART) Laboratory, College of Education, School of Kinesiology, George Mason University, Manassas, VA 20109.
Bryndan LindseyHuman Performance and Biomechanics Group Applied Physics Laboratory, The Johns Hopkins University, Laurel, MD 20723.
Nelson CortesSchool of Sport, Rehabilitation and Exercise Sciences, University of Essex, Wivenhoe Park, Colchester, Essex CO4 3SQ, UK.
George Mason University · USJohns Hopkins University Applied Physics Laboratory · USUniversity of Essex · GB

Funding

Data-Driven Biomechanical Simulation of Eye Movement and StrabismusR01EY029715 · NEI · GEORGE MASON UNIVERSITY · PI WEI, QI · 2019 to 2022
$1.5M
NEI NIH HHS R01 EY029715
6 · The paper itself

Abstract

Gait modifications, such as lateral trunk lean (LTL), medial knee thrust (MKT), and toe-in gait (TIG), are frequently investigated interventions used to slow the progression of knee osteoarthritis. The Lerner knee model was developed to estimate the tibiofemoral joint reaction forces (JRF) in the medial and lateral compartments during gait. These models may be useful for estimating the effects on the JRF in the knee as a result of gait modifications. We hypothesized that all gait modifications would decrease the JRF compared to normal gait. Twenty healthy individuals volunteered for this study (26.7 ± 4.7 years, 1.75 ± 0.1 m, 73.4 ± 12.4 kg). Ten trials were collected for normal gait as well as for the three gait modifications: LTL, MKT, and TIG. The data were used to estimate the JRF in the first and second peaks for the medial and lateral compartments of the knee via opensim using the Lerner knee model. No significant difference from baseline was found for the first peak in the medial compartment. There was a decrease in JRF in the medial compartment during the loading phase of gait for TIG (6.6%) and LTL (4.9%) and an increasing JRF for MKT (2.6%). but none was statistically significant. A significant increase from baseline was found for TIG (5.8%) in the medial second peak. We found a large variation in individual responses to gait interventions, which may help explain the lack of statistically significant results. Possible factors influencing these wide ranges of responses to gait modifications include static alignment and the impacts of variation in muscle coordination strategies used, by participants, to implement gait modifications.

Indexed as

Osteoarthritis, KneeWalkingBiomechanical PhenomenaGaitHumansKnee Jointgait modificationjoint reaction forcesknee osteoarthritisopensim

Identifiers

PMID36196804
PMCPMC9791677
OpenAlexW4302275956

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.