Evidence map›Paper›PMID 29149855›Full record

Trial reportJournal of neuroengineering and rehabilitation2017

Increasing upper limb training intensity in chronic stroke using embodied virtual reality: a pilot study.

Daniel Perez-Marcos, Odile Chevalley, Thomas Schmidlin, Gangadhar Garipelli, Andrea Serino, Philippe Vuadens, Tej Tadi, Olaf Blanke, José D R Millán

2 registry-linked trialsAbstract readClinical Trial
In one paragraph

Trial report in Journal of neuroengineering and rehabilitation, 2017. 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 49 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
49citing papers in PubMed, 5 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.

NCT03094650 nacompletednot on this map

The Use of Immersive Virtual Reality for Upper Limb Neurorehabilitation in Stroke Survivors

TypeinterventionalSponsorMindmaze SARan2015 to 2015Enrolled10ConditionsChronic Stroke, Motor DisordersArmsMindMotion PRO
NCT04429945 nacompletednot on this mapstarted 2021, after this paper: background citation

Immersive Virtual Reality to Improve Outcomes in Patients With Stroke: A Pilot Study

TypeinterventionalSponsorVA Office of Research and DevelopmentRan2021 to 2022Enrolled10ConditionsStrokeArmsVirtual Reality
3 · Its place in the literature

Who cites it

49 citing papers in PubMed, 5 syntheses or guidelines pooled it.

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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

9 authors.

Daniel Perez-MarcosMindMaze SA, Lausanne, Switzerland. daniel.perez@mindmaze.ch.ORCID 0000-0002-6162-5093
Odile ChevalleyMindMaze SA, Lausanne, Switzerland.
Thomas SchmidlinCenter for Neuroprosthetics, Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland.
Gangadhar GaripelliMindMaze SA, Lausanne, Switzerland.ORCID 0000-0001-6780-794X
Andrea SerinoMindMaze SA, Lausanne, Switzerland.ORCID 0000-0001-7475-6095
Philippe VuadensClinique Romande de Réadaptation, Sion, Switzerland.
Tej TadiMindMaze SA, Lausanne, Switzerland.
Olaf BlankeLaboratory of Cognitive Neuroscience, Brain-Mind Institute, Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland.
José D R MillánCenter for Neuroprosthetics, Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland.ORCID 0000-0001-5819-1522

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTechnology-mediated neurorehabilitation is suggested to enhance training intensity and therefore functional gains. Here, we used a novel virtual reality (VR) system for task-specific upper extremity training after stroke. The system offers interactive exercises integrating motor priming techniques and embodied visuomotor feedback. In this pilot study, we examined (i) rehabilitation dose and training intensity, (ii) functional improvements, and (iii) safety and tolerance when exposed to intensive VR rehabilitation.

methodsTen outpatient stroke survivors with chronic (>6 months) upper extremity paresis participated in a ten-session VR-based upper limb rehabilitation program (2 sessions/week).

resultsAll participants completed all sessions of the treatment. In total, they received a median of 403 min of upper limb therapy, with 290 min of effective training. Within that time, participants performed a median of 4713 goal-directed movements. Importantly, training intensity increased progressively across sessions from 13.2 to 17.3 movements per minute. Clinical measures show that despite being in the chronic phase, where recovery potential is thought to be limited, participants showed a median improvement rate of 5.3% in motor function (Fugl-Meyer Assessment for Upper Extremity; FMA-UE) post intervention compared to baseline, and of 15.4% at one-month follow-up. For three of them, this improvement was clinically significant. A significant improvement in shoulder active range of motion (AROM) was also observed at follow-up. Participants reported very low levels of pain, stress and fatigue following each session of training, indicating that the intensive VR intervention was well tolerated. No severe adverse events were reported. All participants expressed their interest in continuing the intervention at the hospital or even at home, suggesting high levels of adherence and motivation for the provided intervention.

conclusionsThis pilot study showed how a dedicated VR system could deliver high rehabilitation doses and, importantly, intensive training in chronic stroke survivors. FMA-UE and AROM results suggest that task-specific VR training may be beneficial for further functional recovery both in the chronic stage of stroke. Longitudinal studies with higher doses and sample sizes are required to confirm the therapy effectiveness.

trial registrationThis trial was retrospectively registered at ClinicalTrials.gov database (registration number NCT03094650 ) on 14 March 2017.

Indexed as

Virtual RealityAdultAgedExercise TherapyFemaleHumansMaleMiddle AgedParesisPilot ProjectsRecovery of FunctionStrokeStroke RehabilitationUser-Computer InterfaceEmbodied feedbackMotor rehabilitationNeurorehabilitationRehabilitation doseStrokeTraining intensityVirtual reality

Identifiers

PMID29149855
PMCPMC5693522

What OpenQuestion holds

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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.