Trial reportJournal of rehabilitation medicine2025
Effectiveness of virtual reality assisted active limb movement exercises for patients in the respiratory intensive care unit: a randomized pilot study.
Trial report in Journal of rehabilitation medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled 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.
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
2 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Effectiveness of Virtual Reality-Based Early Rehabilitation Strategies on Pain, Sleep, Anxiety, Balance, Cognition, and Limb Motor Function in Adult Intensive Care Unit Patients: Systematic Review and Meta-Analysis of Randomized Controlled Trials.Journal of medical Internet research · 2026Pooled it
- Physical Therapist-Led Therapeutic Exercise and Mobility in Adult Intensive Care Units: A Scoping Review of Operational Definitions, Dose Progression, Safety, and Documentation.Journal of clinical medicine · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveThe primary aim of this study is to compare the effectiveness of early active limb movement facilitated by virtual reality technologies with conventional exercise therapy in enhancing patient recovery in the Respiratory Intensive Care Unit. The follow-up period covers 1 week.
methodsIn this prospective randomized controlled trial, patients were allocated to either a control group, which received standard exercise therapy, or a virtual reality group, which utilized virtual reality software and equipment for active exercises. Patients were followed for 1 week. The study compared compliance, safety, and rehabilitative outcomes between these groups. Data were analysed using a linear mixed-effects model.
resultsPatients in the virtual reality-based exercise group exhibited significantly higher levels of average daily exercise time, out-of-bed exercise time, and overall exercise compliance compared with the control group (p < 0.05). There were no reports of adverse events related to exercise in either group. Notably, within the first week of intervention, the virtual reality-based exercise group showed significant improvements in various parameters, including muscle strength, grip strength, body mass index, and the Barthel Index, outperforming the control group in these areas (all p < 0.05).
conclusionBased on 1 week of follow-up data, the study confirms that virtual reality-based exercise modalities are more efficacious than traditional exercise approaches in enhancing exercise duration, compliance, and various health outcomes in Respiratory Intensive Care Unit patients. This approach also contributes to reducing Respiratory Intensive Care Unit stay duration. The system's effectiveness could be further increased by integrating more varied and engaging rehabilitation games and features tailored to the needs of ICU patients.
trial registrationChictr.org: ChiCTR1900021452.
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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.