Evidence map›Paper›PMID 33494805›Full record

ArticleTrials2021

Evaluating the effect of immersive virtual reality technology on gait rehabilitation in stroke patients: a study protocol for a randomized controlled trial.

Huihui Cai, Tao Lin, Lina Chen, Huidan Weng, Ruihan Zhu, Ying Chen, Guoen Cai

Open access · goldAbstract readClinical Trial Protocol
In one paragraph

Article in Trials, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
3.5field-weighted citation impact, top 7% 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

18 citing papers in PubMed, 42 citations in OpenAlex.

  1. Trial
  2. Trial
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Review
  9. Review
  10. Review
  11. PeerJ. Computer science · 2023
    Article
  12. Article
  13. Review
  14. Review
  15. Article
  16. Article
  17. Article
  18. Review
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 at 2 institutions in 1 country.

Huihui Cai *Department of Neurology, Fujian Medical University Union Hospital, Institute of Clinical Neurology, Fujian Medical University, Fuzhou, 350001, Fujian, China.
Tao Lin *Department of Neurology, Fujian Medical University Union Hospital, Institute of Clinical Neurology, Fujian Medical University, Fuzhou, 350001, Fujian, China.
Lina ChenDepartment of Neurology, Fujian Medical University Union Hospital, Institute of Clinical Neurology, Fujian Medical University, Fuzhou, 350001, Fujian, China.
Huidan WengDepartment of Neurology, Fujian Medical University Union Hospital, Institute of Clinical Neurology, Fujian Medical University, Fuzhou, 350001, Fujian, China.
Ruihan ZhuDepartment of Neurology, Fujian Medical University Union Hospital, Institute of Clinical Neurology, Fujian Medical University, Fuzhou, 350001, Fujian, China.
Ying ChenDepartment of Neurology, Fujian Medical University Union Hospital, Institute of Clinical Neurology, Fujian Medical University, Fuzhou, 350001, Fujian, China. 2320609050@qq.com.
Guoen CaiDepartment of Neurology, Fujian Medical University Union Hospital, Institute of Clinical Neurology, Fujian Medical University, Fuzhou, 350001, Fujian, China. cgessmu@fmu.edu.cn.
Union Hospital · CNFujian Medical University · CN

Funding

the Fujian Provincial Science and Technology Guiding Project No.2018Y0033,No.2017Y0041
6 · The paper itself

Abstract

backgroundThe high incidence of cerebral apoplexy makes it one of the most important causes of adult disability. Gait disorder is one of the hallmark symptoms in the sequelae of cerebral apoplexy. The recovery of walking ability is critical for improving patients' quality of life. Innovative virtual reality technology has been widely used in post-stroke rehabilitation, whose effectiveness and safety have been widely verified. To date, however, there are few studies evaluating the effect of immersive virtual reality on stroke-related gait rehabilitation. This study outlines the application of immersive VR-assisted rehabilitation for gait rehabilitation of stroke patients for comparative evaluation with traditional rehabilitation.

methodsThe study describes a prospective, randomized controlled clinical trial. Thirty-six stroke patients will be screened and enrolled as subjects within 1 month of initial stroke and randomized into two groups. The VRT group (n = 18) will receive VR-assisted training (30 min) 5 days/week for 3 weeks. The non-VRT group (n = 18) will receive functional gait rehabilitation training (30 min) 5 days/week for 3 weeks. The primary outcomes and secondary outcomes will be conducted before intervention, 3 weeks after intervention, and 6 months after intervention. The primary outcomes will include time "up & go" test (TUGT). The secondary outcomes will include MMT muscle strength grading standard (MMT), Fugal-Meyer scale (FMA), motor function assessment scale (MAS), improved Barthel index scale (ADL), step with maximum knee angle, total support time, step frequency, step length, pace, and stride length. DISCUSSION: Virtual reality is an innovative technology with broad applications, current and prospective. Immersive VR-assisted rehabilitation in patients with vivid treatment scenarios in the form of virtual games will stimulate patients' interest through active participation. The feedback of VR games can also provide patients with performance awareness and effect feedback, which could be incentivizing. This study may reveal an improved method of stroke rehabilitation which can be helpful for clinical decision-making and future practice.

trial registrationChinese Clinical Trial Registry ChiCTR1900025375 . Registered on 25 August 2019.

Indexed as

AdultAgedAged, 80 and overFemaleGaitHumansMaleMiddle AgedRandomized Controlled Trials as TopicRecovery of FunctionSingle-Blind MethodStrokeStroke RehabilitationTreatment OutcomeVirtual Reality Exposure TherapyWalk TestGait rehabilitationImmersive virtual realityRandomized controlled trialsStroke rehabilitation

Identifiers

PMID33494805
PMCPMC7836462
OpenAlexW3123854424

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.