Evidence map›Paper›PMID 31787258›Full record

ArticleJournal of biomechanics2020

A novel method for measuring asymmetry in kinematic and kinetic variables: The normalized symmetry index.

Robin Queen, Laura Dickerson, Shyam Ranganathan, Daniel Schmitt

Abstract read
In one paragraph

Article in Journal of biomechanics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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.

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3 · Its place in the literature

Who cites it

34 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

4 authors.

Robin QueenKevin P. Granata Biomechanics Lab, Biomedical Engineering and Mechanics, Virginia Tech, Blacksburg, VA, United States. Electronic address: rmqueen@vt.edu.
Laura DickersonKevin P. Granata Biomechanics Lab, Biomedical Engineering and Mechanics, Virginia Tech, Blacksburg, VA, United States.
Shyam RanganathanDepartment of Statistics, Virginia Tech, Blacksburg, VA, United States.
Daniel SchmittDepartment of Evolutionary Anthropology, Duke University, Durham, NC, United States.

Funding

Reduction of Risk Factors for ACL Re-injuries using an Innovative Biofeedback ApproachR21AR069865 · NIAMS · VIRGINIA POLYTECHNIC INST AND ST UNIV · PI QUEEN, ROBIN M · 2017 to 2019
$528k
NIAMS NIH HHS R21 AR069865
6 · The paper itself

Abstract

Gait and movement asymmetries are important variables for assessing locomotor mechanics in humans and other animals and as a predictor of injury risk and success of clinical interventions. The four indices used most often to assess symmetry are not well designed for different variable types, perform poorly when presented with cases of high asymmetry or when variables are of low magnitude, and are easily influenced by small variation in the signal. The purpose of the present study was to test the performance of these indices on previously unpublished data on ACL-R patients and to propose a new index to resolve some of these limitations. The performance of four currently used indices and a new index-the Normalized Symmetry Index (NSI), which is scaled to the range of variables being tested across multiple trials-were compared using force and angular data on participants who had undergone anterior cruciate ligament reconstruction and healthy controls. The NSI performed well compared to all other indices with all variables and had the additional benefit of returning values that range from 0% (full symmetry) to ±100% (full asymmetry). Therefore, the NSI can serve as a universal index for assessing asymmetry in humans, nonhuman animal models, and in a clinical context for assessing risk for injury and clinical outcomes.

Indexed as

Anterior Cruciate Ligament ReconstructionGaitMechanical PhenomenaAdultBiomechanical PhenomenaFemaleHumansKineticsMaleInjuryKinematicsKineticsPathologyPreventionSymmetry

Identifiers

PMID31787258
PMCPMC6960348

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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.