ReviewRheumatology international2026
Virtual reality in shoulder rehabilitation and shoulder arthroplasty pathways: a narrative review of current evidence and clinical perspectives.
Review in Rheumatology international, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
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Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Shoulder rehabilitation is prolonged, feedback-dependent, and frequently limited by adherence, particularly after surgery. Virtual reality (VR) and related immersive or semi-immersive technologies may support rehabilitation by combining motion tracking, visual feedback, graded repetition, and gamified engagement. This narrative review summarizes current evidence on VR and digitally assisted shoulder and upper-limb rehabilitation and critically evaluates the extent to which these data can inform post-arthroplasty pathways. A narrative review was performed using PubMed/MEDLINE, PubMed Central, and targeted cross-checking in Scopus, Web of Science, and the Directory of Open Access Journals up to May 2026. Search domains combined shoulder and upper-limb terms, virtual reality, augmented reality, mixed reality, extended reality, and exergaming terms, rehabilitation and telerehabilitation terms, and postoperative shoulder surgery or arthroplasty terms. Priority was given to systematic reviews, randomized or controlled studies, validation studies, feasibility studies, and clinician-perspective studies relevant to shoulder biomechanics and rehabilitation implementation. The available literature supports three main conclusions. First, consumer-grade immersive systems can provide reliable within-system shoulder motion monitoring, although absolute agreement across devices remains imperfect. Second, VR, exergaming, and digitally assisted rehabilitation have shown feasibility, high acceptability, and potential benefits for adherence, pain, range of motion, and patient-reported function in rotator cuff repair, adhesive capsulitis, subacromial impingement, and other shoulder disorders. Third, evidence directly specific to anatomic or reverse shoulder arthroplasty rehabilitation remains limited; therefore, extrapolation from rotator cuff repair, conservative shoulder disorders, and digital home-based arthroplasty rehabilitation should be made cautiously. Rehabilitation clinicians support supervised or hybrid use rather than autonomous unsupervised replacement of conventional care. VR should be interpreted as an adjunct to clinician-led rehabilitation, not as a stand-alone substitute. Its most plausible current roles are improving engagement, enabling structured repetition, supporting within-system range-of-motion monitoring, and extending supervised practice into home settings. Future studies should test procedure-specific, phase-based VR protocols for anatomic and reverse shoulder arthroplasty, with explicit attention to compensation control, safety limits, long-term outcomes, cost-effectiveness, and multidisciplinary oversight.
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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.