Evidence map›Paper›PMID 34914611›Full record

ReviewJMIR serious games2021

Augmented Reality in Physical Therapy: Systematic Review and Meta-analysis.

Maria Jesus Vinolo Gil, Gloria Gonzalez-Medina, David Lucena-Anton, Veronica Perez-Cabezas, María Del Carmen Ruiz-Molinero, Rocío Martín-Valero

Abstract readReview
In one paragraph

Review in JMIR serious games, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
46citing papers in PubMed, 3 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.

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

46 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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  9. Metaverse-Related and Immersive Digital Technologies in Neurorehabilitation: A Scoping Review.Archives of rehabilitation research and clinical translation · 2026
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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

6 authors.

Maria Jesus Vinolo GilDepartment of Nursing and Physical Therapy, University of Cadiz, Cadiz, Spain.ORCID https://orcid.org/0000-0003-4589-4442
Gloria Gonzalez-MedinaDepartment of Nursing and Physical Therapy, University of Cadiz, Cadiz, Spain.ORCID https://orcid.org/0000-0001-5850-3055
David Lucena-AntonDepartment of Nursing and Physical Therapy, University of Cadiz, Cadiz, Spain.ORCID https://orcid.org/0000-0003-2441-5342
Veronica Perez-CabezasDepartment of Nursing and Physical Therapy, University of Cadiz, Cadiz, Spain.ORCID https://orcid.org/0000-0002-3896-357X
María Del Carmen Ruiz-MolineroDepartment of Nursing and Physical Therapy, University of Cadiz, Cadiz, Spain.ORCID https://orcid.org/0000-0002-6208-0208
Rocío Martín-ValeroDepartment of Physical Therapy, University of Malaga, Malaga, Spain.ORCID https://orcid.org/0000-0002-1664-3647

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAugmented reality (AR) is a rapidly expanding technology; it comprises the generation of new images from digital information in the real physical environment of a person, which simulates an environment where the artificial and real are mixed. The use of AR in physiotherapy has shown benefits in certain areas of patient health. However, these benefits have not been studied as a whole.

objectiveThis study aims to ascertain the current scientific evidence on AR therapy as a complement to physiotherapy and to determine the areas in which it has been used the most and which variables and methods have been most effective.

methodsA systematic review registered in PROSPERO (International Prospective Register of Systematic Reviews) was conducted following PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) recommendations. The search was conducted from July to August 2021 in the PubMed, PEDro, Web of Science, Scopus, and Cochrane Library scientific databases using the keywords augmented reality, physiotherapy, physical therapy, exercise therapy, rehabilitation, physical medicine, fitness, and occupational therapy. The methodological quality was evaluated using the PEDro scale and the Scottish Intercollegiate Guidelines Network scale to determine the degree of recommendation. The Cochrane Collaboration tool was used to evaluate the risk of bias.

resultsIn total, 11 articles were included in the systematic review. Of the 11 articles, 4 (36%) contributed information to the meta-analysis. Overall, 64% (7/11) obtained a good level of evidence, and most had a B degree of recommendation of evidence. A total of 308 participants were analyzed. Favorable results were found for the Berg Balance Scale (standardized mean change 0.473, 95% CI -0.0877 to 1.0338; z=1.65; P=.10) and the Timed Up and Go test (standardized mean change -1.211, 95% CI -3.2005 to 0.7768; z=-1.194; P=.23).

conclusionsAR, in combination with conventional therapy, has been used for the treatment of balance and fall prevention in geriatrics, lower and upper limb functionality in stroke, pain in phantom pain syndrome, and turning in place in patients with Parkinson disease with freezing of gait. AR is effective for the improvement of balance; however, given the small size of the samples and the high heterogeneity of the studies, the results were not conclusive. Future studies using larger sample sizes and with greater homogeneity in terms of the devices used and the frequency and intensity of the interventions are needed.

trial registrationPROSPERO International Prospective Register of Systematic Reviews CRD42020180766; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=180766.

Indexed as

augmented realityfunctionalityphysical therapyrehabilitation

Identifiers

PMID34914611
PMCPMC8717132

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.