Evidence map›Paper›PMID 33853614›Full record

Trial reportJournal of neuroengineering and rehabilitation2021

Feasibility and preliminary efficacy of a combined virtual reality, robotics and electrical stimulation intervention in upper extremity stroke rehabilitation.

Nahid Norouzi-Gheidari, Philippe S Archambault, Katia Monte-Silva, Dahlia Kairy, Heidi Sveistrup, Michael Trivino, Mindy F Levin, Marie-Hélène Milot

Registry-linked trialOpen access · goldAbstract readClinical Trial
In one paragraph

Trial report in Journal of neuroengineering and rehabilitation, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03903770 (Personalized Upper Extremity Rehabilitation for Persons With Moderate and Severe Impairments Due to Stroke), which is not on this map. Cited by 14 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 2 pooled it
4.9field-weighted citation impact, top 4% 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.

NCT03903770 nacompletednot on this map

Personalized Upper Extremity Rehabilitation for Persons With Moderate and Severe Impairments Due to Stroke

TypeinterventionalSponsorMcGill UniversityRan2018 to 2019Enrolled32ConditionsStrokeArmsUpper extremity rehabilitation
3 · Its place in the literature

Who cites it

14 citing papers in PubMed, 2 syntheses or guidelines pooled it, 45 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Review
  5. Article
  6. Article
  7. Article
  8. Review
  9. Review
  10. Article
  11. Article
  12. Reversing the Ruin: Rehabilitation, Recovery, and Restoration After Stroke.Current neurology and neuroscience reports · 2022
    Review
  13. Article
  14. 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

8 authors at 5 institutions in 2 countries.

Nahid Norouzi-GheidariSchool of Physical & Occupational Therapy, McGill University, Montreal, Canada.
Philippe S ArchambaultSchool of Physical & Occupational Therapy, McGill University, Montreal, Canada. philippe.archambault@mcgill.ca.ORCID 0000-0002-8656-4477
Katia Monte-SilvaPhysical Therapy Department, Universidade Federal de Pernambuco, Recife, Brazil.ORCID 0000-0001-7301-2553
Dahlia KairyInterdisciplinary Research Center in Rehabilitation, Montreal, Canada.
Heidi SveistrupFaculty of Health Sciences, University of Ottawa, Ottawa, Canada.
Michael TrivinoInterdisciplinary Research Center in Rehabilitation, Montreal, Canada.
Mindy F LevinSchool of Physical & Occupational Therapy, McGill University, Montreal, Canada.
Marie-Hélène MilotSchool of Rehabilitation, University of Sherbrooke, Sherbrooke, Canada.
Centre for Interdisciplinary Research in Rehabilitation · CACentre Integre de Sante et de Services Sociaux de Laval · CAUniversidade Federal de Pernambuco · BRUniversité de Sherbrooke · CAUniversity of Ottawa · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundApproximately 80% of individuals with chronic stroke present with long lasting upper extremity (UE) impairments. We designed the perSonalized UPper Extremity Rehabilitation (SUPER) intervention, which combines robotics, virtual reality activities, and neuromuscular electrical stimulation (NMES). The objectives of our study were to determine the feasibility and the preliminary efficacy of the SUPER intervention in individuals with moderate/severe stroke.

methodsStroke participants (n = 28) received a 4-week intervention (3 × per week), tailored to their functional level. The functional integrity of the corticospinal tract was assessed using the Predict Recovery Potential algorithm, involving measurements of motor evoked potentials and manual muscle testing. Those with low potential for hand recovery (shoulder group; n = 18) received a robotic-rehabilitation intervention focusing on elbow and shoulder movements only. Those with a good potential for hand recovery (hand group; n = 10) received EMG-triggered NMES, in addition to robot therapy. The primary outcomes were the Fugl-Meyer UE assessment and the ABILHAND assessment. Secondary outcomes included the Motor Activity Log and the Stroke Impact Scale.

resultsEighteen participants (64%), in either the hand or the shoulder group, showed changes in the Fugl-Meyer UE or in the ABILHAND assessment superior to the minimal clinically important difference.

conclusionsThis indicates that our personalized approach is feasible and may be beneficial in improving UE function in individuals with moderate to severe impairments due to stroke.

trial registrationClinicalTrials.gov NCT03903770. Registered 4 April 2019. Registered retrospectively.

Indexed as

Recovery of FunctionVirtual RealityAdultAgedElectric Stimulation TherapyFeasibility StudiesHumansMaleMiddle AgedRoboticsStrokeStroke RehabilitationUpper ExtremityElectrical stimulationRehabilitationRoboticsStrokeUpper extremityVirtual reality

Identifiers

PMID33853614
PMCPMC8045249
OpenAlexW3153246155

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.