Evidence map›Paper›PMID 35184098›Full record

ArticleMedicine and science in sports and exercise2022

Identifying Gait Pathology after ACL Reconstruction Using Temporal Characteristics of Kinetics and Electromyography.

Naoaki Ito, Jacob J Capin, Ashutosh Khandha, Thomas S Buchanan, Lynn Snyder-Mackler

Abstract read
In one paragraph

Article in Medicine and science in sports and exercise, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

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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

5 authors.

Naoaki Ito
Jacob J CapinDepartment of Physical Therapy, Marquette University, Milwaukee, WI.
Ashutosh KhandhaDepartment of Biomedical Engineering, University of Delaware, Newark, DE.
Thomas S Buchanan
Lynn Snyder-Mackler

Funding

Subproject Title: Clinical Research Education, Mentoring and Career Development CoreU54GM104941 · NIGMS · UNIVERSITY OF DELAWARE · PI Gregory E Hicks · 2013 to 2026
$60.5M
Pilot Project ProgramP30GM103333 · NIGMS · UNIVERSITY OF DELAWARE · PI SNYDER-MACKLER, LYNN · 2012 to 2016
$5.7M
Dynamic Stability in the ACL Injured KneeR37HD037985 · NICHD · UNIVERSITY OF DELAWARE · PI GRAVARE SILBERNAGEL, KARIN M E · 2012 to 2021
$4.2M
CAN NEUROMUSCULAR TRAINING ALTER MOVEMENT PATTERNS?R01AR048212 · NIAMS · UNIVERSITY OF DELAWARE · PI SNYDER-MACKLER, LYNN · 2005 to 2015
$3.6M
ACL Reconstructed Knee: qMRI and Biomechanical ModelingR01HD087459 · NICHD · UNIVERSITY OF DELAWARE · PI BUCHANAN, THOMAS S · 2016 to 2020
$1.8M
Contralateral Knee Osteoarthritis Among Older Adults after Primary Total Knee ArthroplastyF32AG066274 · NIA · UNIVERSITY OF COLORADO DENVER · PI CAPIN, JACOB J · 2019 to 2021
$94k
Walking Mechanics, Early Osteoarthritis Development, and Neuromuscular Training after Traumatic Knee InjuryF30HD096830 · NICHD · UNIVERSITY OF DELAWARE · PI CAPIN, JACOB J · 2018 to 2019
$53k
NIAMS NIH HHS R01 AR048212NIA NIH HHS F32 AG066274NICHD NIH HHS F30 HD096830NICHD NIH HHS R01 HD087459NICHD NIH HHS R37 HD037985NIGMS NIH HHS P30 GM103333NIGMS NIH HHS U54 GM104941
6 · The paper itself

Abstract

purposeAsymmetrical gait mechanics after anterior cruciate ligament reconstruction (ACLR) are associated with the development of posttraumatic knee osteoarthritis. Current measures of gait mechanics have focused heavily on peak magnitudes of knee kinematics, kinetics, and joint contact forces but have seldom considered the rate of knee loading, cumulative knee load, or the timing of motor input surrounding peaks. The purpose of this study was to introduce and describe novel metrics of gait using temporal characteristics of kinetics and EMG to identify neuromuscular deficits of the quadriceps in patients after ACLR.

methodsGait mechanics were assessed 6 months (n = 145) and 24 months (n = 116) after ACLR. External knee flexion rate of moment development (RMD) and knee flexion moment impulse (KFMI) leading up to the time of peak knee flexion moment (pKFM), peak RMD between initial contact to pKFM, and cumulative KFMI were calculated. Extensor latencies from the quadriceps, vastus medialis, vastus lateralis, and rectus femoris (time of pKFM - time of peak EMG activity) during the weight acceptance phase of gait were also calculated. Paired-sample t-tests (α = 0.05) were performed between limbs at both time points.

resultsSlower RMD, smaller KFMI, and longer extensor latencies in the involved compared with uninvolved limb were observed across all measures at 6 months (P < 0.005). At 24 months, RMDpeak was slower, and KFMI50ms, KFMI100ms, and KFMItotal were lower in the involved limb (P < 0.003), but no other asymmetries were found.

conclusionsSlower RMD, smaller KFMI, and prolonged extensor latencies may characterize neuromuscular deficits underlying aberrant gait mechanics early after ACLR. RMD, KFMI, and extensor latencies during gait should be considered in the future to quantify asymmetrical movement patterns observed after ACLR and as markers of recovery.

Indexed as

Anterior Cruciate Ligament InjuriesAnterior Cruciate Ligament ReconstructionBiomechanical PhenomenaElectromyographyGaitHumansKineticsKnee Joint

Identifiers

PMID35184098
PMCPMC9117412

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Registered trials

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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.