Evidence map›Paper›PMID 37037293›Full record

ArticleArchives of physical medicine and rehabilitation2023

Using the Instrumented Sway System (ISway) to Identify and Compare Balance Domain Deficits in People With Multiple Sclerosis.

Patrick G Monaghan, Andrew S Monaghan, Andrew Hooyman, Brett W Fling, Jessie M Huisinga, Daniel S Peterson

Abstract read
In one paragraph

Article in Archives of physical medicine and rehabilitation, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Assessing Free-Living Postural Sway in Persons With Multiple Sclerosis.IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society · 2024
    Article
  4. Assessing fall risk in multiple sclerosis using patient-reported outcomes and wearable gait metrics.Multiple sclerosis journal - experimental, translational and clinical
    Article
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.

Patrick G MonaghanSchool of Kinesiology, Auburn University, Auburn, AL.
Andrew S MonaghanCollege of Health Solutions, Arizona State University, Phoenix, AZ.
Andrew HooymanSchool of Biological and Health Systems Engineering, Arizona State University, Tempe, AZ.
Brett W FlingDepartment of Health and Exercise Science, Colorado State University, Fort Collins, CO.
Jessie M HuisingaDepartment of Physical Therapy and Rehabilitation Science, University of Kansas Medical Center, KS.
Daniel S PetersonCollege of Health Solutions, Arizona State University, Phoenix, AZ; Phoenix VA Health Care Center, Phoenix, AZ. Electronic address: Daniel.peterson1@asu.edu.

Funding

Heartland Institute for Clinical and Translational ResearchKL2TR000119 · NCATS · UNIVERSITY OF KANSAS MEDICAL CENTER · PI BAROHN, RICHARD J. · 2012 to 2015
$2.5M
NCATS NIH HHS KL2 TR000119
6 · The paper itself

Abstract

objectiveTo develop a multiple sclerosis (MS)-specific model of balance and examine differences between (1) MS and neurotypical controls and (2) people with MS (PwMS) with (MS-F) and without a fall history (MS-NF). DESIGN AND

settingA cross-sectional study was conducted at the Gait and Balance Laboratory at the University of Kansas Medical Center. Balance was measured from the instrumented sway system (ISway) assessment.

participantsIn total, 118 people with relapsing-remitting MS (MS-F=39; MS-NF=79) and 46 age-matched neurotypical controls.

interventionNot applicable. OUTCOME MEASURES: A total of 22 sway measures obtained from the ISway were entered into an exploratory factor analysis to identify underlying balance domains. The model-derived balance domains were compared between (1) PwMS and age-matched, neurotypical controls and (2) MS-F and MS-NF.

resultsThree distinct balance domains were identified: (1) sway amplitude and velocity, (2) sway frequency and jerk mediolateral, and (3) sway frequency and jerk anteroposterior, explaining 81.66% of balance variance. PwMS exhibited worse performance (ie, greater amplitude and velocity of sway) in the sway velocity and amplitude domain compared to age-matched neurotypical controls (P=.003). MS-F also exhibited worse performance in the sway velocity and amplitude domain compared to MS-NF (P=.046). The anteroposterior and mediolateral sway frequency and jerk domains were not different between PwMS and neurotypical controls nor between MS-F and MS-NF.

conclusionsThis study identified a 3-factor, MS-specific balance model, demonstrating that PwMS, particularly those with a fall history, exhibit disproportionate impairments in sway amplitude and velocity. Identifying postural stability outcomes and domains that are altered in PwMS and clinically relevant (eg, related to falls) would help isolate potential treatment targets.

Indexed as

Accidental FallsGaitMultiple Sclerosis, Relapsing-RemittingPostural BalanceAdultCross-Sectional StudiesFemaleHumansMaleMiddle AgedModels, NeurologicalBalanceFallsMultiple sclerosisPostureRehabilitation

Identifiers

PMID37037293
PMCPMC10524722

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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.