Evidence map›Paper›PMID 26193492›Full record

Trial reportPloS one2015

Effects of Computer-Aided Interlimb Force Coupling Training on Paretic Hand and Arm Motor Control following Chronic Stroke: A Randomized Controlled Trial.

Chueh-Ho Lin, Li-Wei Chou, Hong-Ji Luo, Po-Yi Tsai, Fu-Kong Lieu, Shang-Lin Chiang, Wen-Hsu Sung

2 registry-linked trialsAbstract readRandomized Controlled Trial
PubMed Full text at PMC Publisher
In one paragraph

Trial report in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 17 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 7 pooled it
–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.

NCT02247674 nacompletednot on this map

Effects of Computer-aided Interlimb Force Coupling Training on Paretic Hand and Arm Motor Control Following Chronic Stroke

TypeinterventionalSponsorChueh-Ho LinRan2012 to 2013Enrolled33ConditionsStroke, Cerebrovascular Accident, Cardiovascular Disease, Brain InjuryArmsBilateral movement training
NCT07014891 narecruitingnot on this mapstarted 2024, after this paper: background citation

A Study on Visual Feedback Motor Control Training Using Near-Infrared Spectroscopy (fNIRS) Brain Functional Imaging for Walking Function Recovery in Stroke Patients

TypeinterventionalSponsorShengjing HospitalRan2024 to 2025Enrolled44ConditionsStrokeArmsIntelligent Visual Feedback Motor Control Training, Bobath Ball Training
3 · Its place in the literature

Who cites it

17 citing papers in PubMed, 7 syntheses or guidelines pooled it.

  1. Pooled it
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  4. Physical fitness training for stroke patients.The Cochrane database of systematic reviews · 2020
    Pooled it
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  7. Virtual reality for stroke rehabilitation.The Cochrane database of systematic reviews · 2017
    Pooled it
  8. Review
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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

7 authors.

Chueh-Ho LinSchool of Gerontology Health Management & Master Program in Long-Term Care, Taipei Medical University, Taipei, Taiwan (R.O.C.).
Li-Wei ChouDepartment of Physical Therapy and Assistive Technology, National Yang-Ming University, Taipei, Taiwan (R.O.C.).
Hong-Ji LuoDepartment of Physical Therapy and Assistive Technology, National Yang-Ming University, Taipei, Taiwan (R.O.C.).
Po-Yi TsaiPhysical Medicine and Rehabilitation Department, Taipei Veterans General Hospital, Taipei, Taiwan (R.O.C.).
Fu-Kong LieuCheng Hsin Hospital, Taipei, Taiwan (R.O.C.).
Shang-Lin ChiangDepartment of Physical Therapy and Assistive Technology, National Yang-Ming University, Taipei, Taiwan (R.O.C.); Department of Physical Medicine and Rehabilitation, Tri-Service General Hospital, Taipei, Taiwan (R.O.C.); Department of Physical Medicine and Rehabilitation, School of Medicine, National Defense Medical Center, Taipei, Taiwan (R.O.C.).
Wen-Hsu SungDepartment of Physical Therapy and Assistive Technology, National Yang-Ming University, Taipei, Taiwan (R.O.C.).

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveWe investigated the training effects of interlimb force coupling training on paretic upper extremity outcomes in patients with chronic stroke and analyzed the relationship between motor recovery of the paretic hand, arm and functional performances on paretic upper limb.

designA randomized controlled trial with outcome assessment at baseline and after 4 weeks of intervention.

settingTaipei Veterans General Hospital, National Yang-Ming University.

participantsThirty-three subjects with chronic stroke were recruited and randomly assigned to training (n = 16) and control groups (n = 17).

interventionsThe computer-aided interlimb force coupling training task with visual feedback included different grip force generation methods on both hands.

main outcome measuresThe Barthel Index (BI), the upper extremity motor control Fugl-Meyer Assessment (FMA-UE), the Motor Assessment Score (MAS), and the Wolf Motor Function Test (WMFT). All assessments were executed by a blinded evaluator, and data management and statistical analysis were also conducted by a blinded researcher.

resultsThe training group demonstrated greater improvement on the FMA-UE (p<.001), WMFT (p<.001), MAS (p = .004) and BI (p = .037) than the control group after 4 weeks of intervention. In addition, a moderate correlation was found between the improvement of scores for hand scales of the FMA and other portions of the FMA UE (r = .528, p = .018) or MAS (r = .596, p = .015) in the training group.

conclusionComputer-aided interlimb force coupling training improves the motor recovery of a paretic hand, and facilitates motor control and enhances functional performance in the paretic upper extremity of people with chronic stroke.

trial registrationClinicalTrials.gov NCT02247674.

Indexed as

Motor SkillsTherapy, Computer-AssistedArmChronic DiseaseFemaleHandHand StrengthHumansMaleMiddle AgedMovementParesisRecovery of FunctionStroke

Identifiers

PMID26193492
PMCPMC4507879

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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.