Evidence map›Paper›PMID 38051570›Full record

ArticleJMIR rehabilitation and assistive technologies2023

Movement Component Analysis of Reaching Strategies in Individuals With Stroke: Preliminary Study.

Hirofumi Ota, Masahiko Mukaino, Yukari Inoue, Shoh Matsuura, Senju Yagi, Yoshikiyo Kanada, Eiichi Saitoh, Yohei Otaka

Open access · goldAbstract read
In one paragraph

Article in JMIR rehabilitation and assistive technologies, 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
0.6field-weighted citation impact, top 31% 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

4 citing papers in PubMed, 4 citations in OpenAlex.

  1. Task-Based Mapping of Compensatory Strategies and Movement Kinematics After Stroke: A Systematic Scoping Review.Physiotherapy research international : the journal for researchers and clinicians in physical therapy · 2026
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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

8 authors at 2 institutions in 1 country.

Hirofumi OtaFaculty of Rehabilitation, School of Health Sciences, Fujita Health University, Toyoake, Japan.ORCID https://orcid.org/0000-0002-8659-6700
Masahiko MukainoDepartment of Rehabilitation Medicine, Hokkaido University Hospital, Sapporo, Japan.ORCID https://orcid.org/0000-0003-4348-8715
Yukari InoueDepartment of Rehabilitation, Fujita Health University Hospital, Toyoake, Japan.ORCID https://orcid.org/0009-0003-6626-0139
Shoh MatsuuraDepartment of Rehabilitation, Fujita Health University Hospital, Toyoake, Japan.ORCID https://orcid.org/0009-0007-3226-8879
Senju YagiDepartment of Rehabilitation, Fujita Health University Hospital, Toyoake, Japan.ORCID https://orcid.org/0009-0003-9053-1517
Yoshikiyo KanadaFaculty of Rehabilitation, School of Health Sciences, Fujita Health University, Toyoake, Japan.ORCID https://orcid.org/0000-0002-8842-7740
Eiichi SaitohDepartment of Rehabilitation Medicine I, School of Medicine, Fujita Health University, Toyoake, Japan.ORCID https://orcid.org/0000-0001-5069-6198
Yohei OtakaDepartment of Rehabilitation Medicine I, School of Medicine, Fujita Health University, Toyoake, Japan.ORCID https://orcid.org/0000-0002-6797-2782
Fujita Health University · JPFujita Health University Hospital · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundUpper limb motor paresis is a major symptom of stroke, which limits activities of daily living and compromises the quality of life. Kinematic analysis offers an in-depth and objective means to evaluate poststroke upper limb paresis, with anticipation for its effective application in clinical settings.

objectiveThis study aims to compare the movement strategies of patients with hemiparesis due to stroke and healthy individuals in forward reach and hand-to-mouth reach, using a simple methodology designed to quantify the contribution of various movement components to the reaching action.

methodsA 3D motion analysis was conducted, using a simplified marker set (placed at the mandible, the seventh cervical vertebra, acromion, lateral epicondyle of the humerus, metacarpophalangeal [MP] joint of the index finger, and greater trochanter of the femur). For the forward reach task, we measured the distance the index finger's MP joint traveled from its starting position to the forward target location on the anterior-posterior axis. For the hand-to-mouth reach task, the shortening of the vertical distance between the index finger MP joint and the position of the chin at the start of the measurement was measured. For both measurements, the contributions of relevant upper limb and trunk movements were calculated.

resultsA total of 20 healthy individuals and 10 patients with stroke participated in this study. In the forward reach task, the contribution of shoulder or elbow flexion was significantly smaller in participants with stroke than in healthy participants (mean 52.5%, SD 24.5% vs mean 85.2%, SD 4.5%; P<.001), whereas the contribution of trunk flexion was significantly larger in stroke participants than in healthy participants (mean 34.0%, SD 28.5% vs mean 3.0%, SD 2.8%; P<.001). In the hand-to-mouth reach task, the contribution of shoulder or elbow flexion was significantly smaller in participants with stroke than in healthy participants (mean 71.8%, SD 23.7% vs mean 90.7%, SD 11.8%; P=.009), whereas shoulder girdle elevation and shoulder abduction were significantly larger in participants with stroke than in healthy participants (mean 10.5%, SD 5.7% vs mean 6.5%, SD 3.0%; P=.02 and mean 16.5%, SD 18.7% vs mean 3.0%, SD 10.4%; P=.02, respectively).

conclusionsCompared with healthy participants, participants with stroke achieved a significantly greater distance via trunk flexion in the forward reach task and shoulder abduction and shoulder girdle elevation in the hand-to-mouth reach task, both of these differences are regarded as compensatory movements. Understanding the characteristics of individual motor strategies, such as dependence on compensatory movements, may contribute to tailored goal setting in stroke rehabilitation.

Indexed as

3Dcompensatecompensatorycompensatory movementsextremitiesextremityhemiparesislimbmobilitymotionmotion analysismotion capturemovementparalysisreachingreaching movementrehabilitationstrokethree dimensionalthree-dimensional motion analysisupper limb paresis

Identifiers

PMID38051570
PMCPMC10731574
OpenAlexW4386926048

What OpenQuestion holds

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LicenceCC BY
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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.