Evidence map›Paper›PMID 37580751›Full record

ArticleJournal of neuroengineering and rehabilitation2023

Impairments of the ipsilesional upper-extremity in the first 6-months post-stroke.

Donovan B Smith, Stephen H Scott, Jennifer A Semrau, Sean P Dukelow

Abstract read
In one paragraph

Article in Journal of neuroengineering and rehabilitation, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

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3 · Its place in the literature

Who cites it

8 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.

Donovan B SmithDepartment of Clinical Neurosciences, Hotchkiss Brain Institute, University of Calgary, 1403 29th Street NW, Foothills Medical Centre, South Tower, Room 905, Calgary, AB, T2N 2T9, Canada.
Stephen H ScottDepartment of Biomedical and Molecular Sciences, Queen's University, Kingston, ON, Canada.
Jennifer A SemrauDepartment of Kinesiology and Applied Physiology, University of Delaware, Newark, Delaware, USA.
Sean P DukelowDepartment of Clinical Neurosciences, Hotchkiss Brain Institute, University of Calgary, 1403 29th Street NW, Foothills Medical Centre, South Tower, Room 905, Calgary, AB, T2N 2T9, Canada. spdukelo@ucalgary.ca.

Funding

CIHR
6 · The paper itself

Abstract

backgroundIpsilesional motor impairments of the arm are common after stroke. Previous studies have suggested that severity of contralesional arm impairment and/or hemisphere of lesion may predict the severity of ipsilesional arm impairments. Historically, these impairments have been assessed using clinical scales, which are less sensitive than robot-based measures of sensorimotor performance. Therefore, the objective of this study was to characterize progression of ipsilesional arm motor impairments using a robot-based assessment of motor function over the first 6-months post-stroke and quantify their relationship to (1) contralesional arm impairment severity and (2) stroke-lesioned hemisphere.

methodsA total of 106 participants with first-time, unilateral stroke completed a unilateral assessment of arm motor impairment (visually guided reaching task) using the Kinarm Exoskeleton. Participants completed the assessment along with a battery of clinical measures with both ipsilesional and contralesional arms at 1-, 6-, 12-, and 26-weeks post-stroke.

resultsRobotic assessment of arm motor function revealed a higher incidence of ipsilesional arm impairment than clinical measures immediately post-stroke. The incidence of ipsilesional arm impairments decreased from 47 to 14% across the study period. Kolmogorov-Smirnov tests revealed that ipsilesional arm impairment severity, as measured by our task, was not related to which hemisphere was lesioned. The severity of ipsilesional arm impairments was variable but displayed moderate significant relationships to contralesional arm impairment severity with some robot-based parameters.

conclusionsIpsilesional arm impairments were variable. They displayed relationships of varying strength with contralesional impairments and were not well predicted by lesioned hemisphere. With standard clinical care, 86% of ipsilesional impairments recovered by 6-months post-stroke.

Indexed as

Exoskeleton DeviceRoboticsStrokeStroke RehabilitationHumansUpper ExtremityIpsilesionalMotor impairmentReachingRehabilitationRoboticsStroke

Identifiers

PMID37580751
PMCPMC10424459

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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.