Evidence map›Paper›PMID 42100756›Full record

ReviewHealth science reports2026

Extended Reality in Rehabilitation Medicine: A Systematic Review.

Jie Hao, Yao Yao, Ka-Chun Siu

Abstract readReview
In one paragraph

Review in Health science reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Jie HaoSchool of Rehabilitation Sciences and Engineering University of Health and Rehabilitation Sciences Qingdao China.ORCID https://orcid.org/0000-0002-1602-4686
Yao YaoShanghai Yangzhi Rehabilitation Hospital (Shanghai Sunshine Rehabilitation Center) Tongji University School of Medicine Shanghai China.
Ka-Chun SiuDepartment of Health & Rehabilitation Sciences, College of Allied Health Professions University of Nebraska Medical Center Omaha Nebraska USA.ORCID https://orcid.org/0000-0002-6968-5760

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Aims: This systematic review synthesizes current evidence on the application of extended reality (XR) technologies, comprising virtual reality (VR), augmented reality (AR), and mixed reality (MR), in rehabilitation medicine, assessing their effects across diverse rehabilitation domains and clinical outcomes. Methods: A comprehensive search of three biomedical databases was conducted, yielding 58 randomized controlled trials that examined XR interventions in geriatric, neurological, orthopedic, and pediatric rehabilitation. Methodological quality was assessed using the Physiotherapy Evidence Database scale. Results were qualitatively synthesized according to intervention characteristics and outcome measures. Results: The findings indicate that XR technologies can enhance rehabilitation outcomes, including improvements in motor and cognitive function, pain management, psychological well-being, and quality of life. XR interventions were shown to improve balance, strength, and cognitive and psychological function in older adults; facilitate motor recovery and reduce neuropathic pain in neurological populations; support postoperative rehabilitation and conservative interventions in orthopedic patients; and enhance engagement and therapeutic goals attainment in pediatric patients. Conclusion: XR technologies present a promising and innovative approach to rehabilitation, offering personalized and engaging therapeutic experiences. Clinicians should leverage XR technologies to empower patients and optimize clinical outcomes.

Indexed as

functionhealthimmersionphysiatrysimulationtherapy

Identifiers

PMID42100756
PMCPMC13144748

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.