Evidence map›Paper›PMID 32823832›Full record

ReviewJournal of clinical medicine2020

The Effectiveness of Virtual Reality Rehabilitation in Patients with Knee and Hip Osteoarthritis.

Joanna Byra, Krzysztof Czernicki

3 registry-linked trialsOpen access · goldAbstract readReview
In one paragraph

Review in Journal of clinical medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 3 registered trials, which are not on this map. Cited by 29 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 5 pooled it
6.2field-weighted citation impact, top 3% 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.

NCT05839262 nacompletednot on this mapstarted 2023, after this paper: background citation

Physical Exercise Guided by Active Video Games for Optimizing Clinical and Psychosocial Outcomes in Older Adults With Knee and/or Hip Osteoarthritis Under a Community-based Rehabilitation Model.

TypeinterventionalSponsorCristian AlvarezRan2023 to 2024Enrolled60ConditionsOsteoarthritis, Knee, Osteoarthritis, HipArmsConventional physical rehabilitation plus Active video games (CPR+AVG), Conventional physical rehabilitation alone (CPR)
NCT06416332 naunknown statusnot on this mapstarted 2022, after this paper: background citation

Development and Implementation of a Tele -Rehabilitation System for Patients With Knee Osteoarthritis (Aged 40-70 Years, Kellgren Grade 1-3 and Lawrence )

TypeinterventionalSponsorUniversity of West AtticaRan2022 to 2024Enrolled34ConditionsKnee Osteoarthritis, Knee Osteoarthritis \(OA\), TelerehabilitationArmsgroup A: in face to face live therapeutic exercise, group B: telerehabilitation program
NCT06511557 naunknown statusnot on this mapstarted 2023, after this paper: background citation

Comparative Effect of Non Immersive Virtual Reality Based Training (Xbox Kinect) and Kinetic Chain Exercises in Patient With Knee Osteoarthritis.

TypeinterventionalSponsorRiphah International UniversityRan2023 to 2024Enrolled46ConditionsKnee OsteoarthritisArmsNon immersive virtual reality ( xbox kinetic), Kinetic chain exercises
3 · Its place in the literature

Who cites it

29 citing papers in PubMed, 5 syntheses or guidelines pooled it, 69 citations in OpenAlex.

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  14. [Postoperative rehabilitation after knee arthroplasty].Orthopadie (Heidelberg, Germany) · 2024
    Review
  15. An Interactive Vision-Based 3D Augmented Reality System for In-Home Physical Rehabilitation: A Qualitative Inquiry to Inform System Development.Health expectations : an international journal of public participation in health care and health policy · 2024
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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

2 authors at 2 institutions in 1 country.

Joanna ByraFaculty of Health Sciences, Jagiellonian University Medical College, Michalowskiego 12, 31-126 Cracow, Poland.ORCID 0000-0003-2867-6902
Krzysztof CzernickiDepartment of Rehabilitation, Lesser Poland Orthopaedic and Rehabilitation Hospital, Modrzewiowa 22, 30-224 Cracow, Poland.ORCID 0000-0002-4404-641X
Jagiellonian University · PLKrakowskie Centrum Rehabilitacji · PL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Osteoarthritis (OA) is a common health problem leading to pain, limitation in physical function, a decrease in the quality of life and disability. OA affects 60-70% of the population above 65 years of age all over the world, and is associated with a high cost of healthcare. The main method of treatment of OA, apart from pharmacotherapy and surgery, is comprehensive rehabilitation. Advances in medical technology have resulted in the possibility of using computer-assisted interventions in rehabilitation. The present narrative review is aimed at investigating the effectiveness of virtual reality (VR) in the rehabilitation of elderly patients with knee or hip osteoarthritis, including patients after arthroplasty. This literature review based on Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines was carried out in five databases: PubMed, Medline, Web of Science, Scopus and PEDro. It includes ten randomized controlled trials focused on the application of games and biofeedback in the rehabilitation of patients with knee and hip osteoarthritis. There are no conclusive reports that interventions based on VR are more effective than standard physical therapy. Moreover, evidence regarding patients after total hip arthroplasty (THA) is very scarce. The effectiveness of VR-based rehabilitation is unclear, although interventions based on VR are promising in view of pain management, postural and proprioception training. However, this evidence is not sufficient to create clinical guidelines and further high-quality studies are needed.

Indexed as

hip arthroplastyhip osteoarthritisknee arthroplastyknee osteoarthritisrehabilitationreviewvirtual reality

Identifiers

PMID32823832
PMCPMC7465023
OpenAlexW3048937468

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.