Evidence map›Paper›PMID 34925773›Full record

ArticleInternational journal of developmental disabilities2021

Virtual reality training improves dynamic balance in children with cerebral palsy.

Morteza Pourazar, Fazlolah Bagherzadeh, Fatemeh Mirakhori

Erratum issuedOpen access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in International journal of developmental disabilities, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 13 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 2 pooled it
2.5field-weighted citation impact, top 11% 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

13 citing papers in PubMed, 2 syntheses or guidelines pooled it, 29 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors at 1 institution in 1 country.

Morteza PourazarDepartment of Physical Education and Sport Sciences, University of Tehran, Tehran, Iran.
Fazlolah BagherzadehDepartment of Physical Education and Sport Sciences, University of Tehran, Tehran, Iran.
Fatemeh MirakhoriDepartment of Physical Education and Sport Sciences, University of Tehran, Tehran, Iran.
University of Tehran · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsThe purpose of this study was to investigate the effects of Virtual reality training on dynamic balance of children with spastic hemiplegic cerebral palsy (SHCP).

methods20 girls with SHCP (mean age =9.4; SD =1.48) were selected from special schools and divided into the experimental and control groups. Commercially available Kinect dance game (Microsoft Inc., Redmond, WA, U.S.A.) 'Just Dance 3' and Modified star excursion balance test (SEBT) were used for video game based training and dynamic balance tests, respectively. MANCOVA and ANCOVA Tests were performed at p < 0.05 to analyze the data.

resultsBased on MANCOVA test results, there was a significant difference between groups at least in one of the dynamic balance variables (anterior, posterolateral, and posteromedial) after controlling for pretest (F (3, 13) = 41.81, p < .005). Results of ANCOVA test showed a significant difference between the dynamic balance variables in the anterior (F = 52.80, p = 0.001), posterolateral (F = 117.86, p = 0.001), and posteromedial (F = 23.84, p = 0.001) directions in children with cerebral palsy.

conclusionsThis paper proposes that video game based training can successfully guide children with cerebral palsy to improve their balance ability. This virtual system is therefore an interesting tool in the therapies related to the children with cerebral palsy.

Indexed as

balanceSpastic Hemiplegic Cerebral Palsyvideo game based trainingXbox

Identifiers

PMID34925773
PMCPMC8676581
OpenAlexW2982082222

What OpenQuestion holds

Textmetadata
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.