Evidence map›Paper›PMID 25148846›Full record

Trial reportJournal of neuroengineering and rehabilitation2014

Comparing integrated training of the hand and arm with isolated training of the same effectors in persons with stroke using haptically rendered virtual environments, a randomized clinical trial.

Gerard G Fluet, Alma S Merians, Qinyin Qiu, Amy Davidow, Sergei V Adamovich

2 registry-linked trialsOpen access · goldAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Journal of neuroengineering and rehabilitation, 2014. 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 19 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 2 pooled it
3.5field-weighted citation impact, top 8% 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.

NCT01072461 phase1completednot on this map

Optimizing Hand Rehabilitation Post-Stroke Using Interactive Virtual Environments

TypeinterventionalSponsorNew Jersey Institute of TechnologyRan2009 to 2015Enrolled55ConditionsCerebrovascular Accident, Hemiparesis, HemiplegiaArmsHAS Training, HAT training, Bimanual Training
NCT03985761 nacompletednot on this mapstarted 2019, after this paper: background citation

Utilizing Gaming Mechanics to Optimize Telerehabilitation Adherence in Persons With Stroke

TypeinterventionalSponsorRutgers, The State University of New JerseyRan2019 to 2023Enrolled33ConditionsStrokeArmsHome Telerehabilitation using HoVRS
3 · Its place in the literature

Who cites it

19 citing papers in PubMed, 2 syntheses or guidelines pooled it, 43 citations in OpenAlex.

  1. Pooled it
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  13. Coordination of reach-to-grasp in physical and haptic-free virtual environments.Journal of neuroengineering and rehabilitation · 2019
    Article
  14. Review
  15. Article
  16. Article
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  19. A self-aligning end-effector robot for individual joint training of the human arm.Journal of rehabilitation and assistive technologies engineering
    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

5 authors at 1 institution in 1 country.

Gerard G FluetDepartment of Rehabilitation and Movement Science, Rutgers The State University of New Jersey, Room 714C, 65 Bergen Street, Newark, NJ 07101, USA. fluetge@shrp.rutgers.edu.
Alma S Merians
Qinyin Qiu
Amy Davidow
Sergei V Adamovich
Rutgers, The State University of New Jersey · US

Funding

Optimizing Hand Rehabilitation Post-Stroke Using Interactive Virtual EnvironmentsR01HD058301 · NICHD · NEW JERSEY INSTITUTE OF TECHNOLOGY · PI ADAMOVICH, SERGEI V, MERIANS, ALMA S · 2009 to 2021
$4.7M
NICHD NIH HHS R01 HD058301NICHD NIH HHS R01-HD58301
6 · The paper itself

Abstract

backgroundRobotically facilitated therapeutic activities, performed in virtual environments have emerged as one approach to upper extremity rehabilitation after stroke. Body function level improvements have been demonstrated for robotically facilitated training of the arm. A smaller group of studies have demonstrated modest activity level improvements by training the hand or by integrated training of the hand and arm. The purpose of this study was to compare a training program of complex hand and finger tasks without arm movement paired with a separate set of reaching activities performed without hand movement, to training the entire upper extremity simultaneously, utilizing integrated activities.

methodsForty individuals with chronic stroke recruited in the community, participated in a randomized, blinded, controlled trial of two interventions. Subjects were required to have residual hand function for inclusion. The first, hand and arm separate (HAS) training (n=21), included activities controlled by finger movement only, and activities controlled by arm movement only, the second, hand and arm together (HAT) training (n=20) used simulations controlled by a simultaneous use of arm and fingers.

resultsNo adverse reactions occurred. The entire sample demonstrated mean improvements in Wolf Motor Function Test scores (21%) and Jebsen Test of Hand Function scores (15%), with large effect sizes (partial r2=.81 and r2=.67, respectively). There were no differences in improvement between HAS and HAT training immediately after the study. Subjects in the HAT group retained Wolf Motor Function Test gains better than in the HAS group measured three months after the therapy but the size of this interaction effect was small (partial r2=.17).

conclusionsShort term changes in upper extremity motor function were comparable when training the upper extremity with integrated activities or a balanced program of isolated activities. Further study of the retention period is indicated.

trial registrationNCT01072461.

Indexed as

Stroke RehabilitationUser-Computer InterfaceArmBiomechanical PhenomenaExercise TherapyFemaleHandHumansMaleMiddle AgedMovementRecovery of FunctionRoboticsStroke

Identifiers

PMID25148846
PMCPMC4156644
OpenAlexW2119641215

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.