ReviewJournal of rehabilitation and assistive technologies engineering
Evaluating the use of robotic and virtual reality rehabilitation technologies to improve function in stroke survivors: A narrative review.
Review in Journal of rehabilitation and assistive technologies engineering. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 2 of them syntheses 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
25 citing papers in PubMed, 2 syntheses or guidelines pooled it, 73 citations in OpenAlex.
- Industrial-grade collaborative robots for motor rehabilitation after stroke and spinal cord injury: a systematic narrative review.Biomedical engineering online · 2025Pooled it
- Effect of Robot-Assisted Therapy on Participation of People with Limited Upper Limb Functioning: A Systematic Review with GRADE Recommendations.Occupational therapy international · 2021Pooled it
- A Sensor-Based Upper Limb Treatment in Hemiplegic Patients: Results from a Randomized Pilot Study.Sensors (Basel, Switzerland) · 2024Trial
- Characterizing the Effects of Adding Virtual and Augmented Reality in Robot-Assisted Training.IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society · 2024Trial
- Ninety-Seven Percent of Trials Investigating Robotic Interventions in Physiotherapy Contained Abstract Spin: A Meta-Research Review.Cochrane evidence synthesis and methods · 2026Review
- Future trends and challenges in occupational therapy: Insights from a Delphi study.The British journal of occupational therapy · 2026Article
- Challenges and Benefits of Virtual Reality in Home-Based Poststroke Rehabilitation: Co-Design Qualitative Study.JMIR human factors · 2026Article
- Article
- Modern Technologies Supporting Motor Rehabilitation After Stroke: A Narrative Review.Journal of clinical medicine · 2025Review
- Virtual Reality: A New Frontier of Physical Rehabilitation.Sensors (Basel, Switzerland) · 2025Review
- Muscle synergies in upper limb stroke rehabilitation: a scoping review.European journal of physical and rehabilitation medicine · 2024Article
- Available rehabilitation technology with the potential to be incorporated into the clinical practice of physiotherapists: A systematic review.Health science reports · 2024Article
- Innovative Metaheuristic Optimization Approach with a Bi-Triad for Rehabilitation Exoskeletons.Sensors (Basel, Switzerland) · 2024Article
- Robotic systems for upper-limb rehabilitation in multiple sclerosis: a SWOT analysis and the synergies with virtual and augmented environments.Frontiers in robotics and AI · 2024Review
- EngageHealth: a mobile device application designed to deliver stroke rehabilitation exercises using asynchronous video recordings.Frontiers in stroke · 2024Article
- A mirror therapy system using virtual reality and an actuated exoskeleton for the recovery of hand motor impairments: a study of acceptability, usability, and embodiment.Scientific reports · 2023Article
- Development and Use of Assistive Technologies in Spinal Cord Injury: A Narrative Review of Reviews on the Evolution, Opportunities, and Bottlenecks of Their Integration in the Health Domain.Healthcare (Basel, Switzerland) · 2023Review
- Feasibility of an Intelligent Algorithm Based on an Assist-as-Needed Controller for a Robot-Aided Gait Trainer (Lokomat) in Neurological Disorders: A Longitudinal Pilot Study.Brain sciences · 2023Article
- Development and Validation of a System for the Assessment and Recovery of Grip Force Control.Bioengineering (Basel, Switzerland) · 2023Article
- Systematic Development of the ReWin Application: A Digital Therapeutic Rehabilitation Innovation for People With Stroke-related Disabilities in India.JMIR rehabilitation and assistive technologies · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This review evaluates the effectiveness of robotic and virtual reality technologies used for neurological rehabilitation in stroke survivors. It examines each rehabilitation technology in turn before considering combinations of these technologies and the complexities of rehabilitation outcome assessment. There is high-quality evidence that upper-limb robotic rehabilitation technologies improve movement, strength and activities of daily living, whilst the evidence for robotic lower-limb rehabilitation is currently not as convincing. Virtual reality technologies also improve activities of daily living. Whilst the benefit of these technologies over dose-controlled conventional rehabilitation is likely to be small, there is a role for both technologies as part of a broader rehabilitation programme, where they may help to increase the intensity and amount of therapy delivered. Combining robotic and virtual reality technologies in a rehabilitation programme may further improve rehabilitation outcomes and we would advocate randomised controlled trials of these technologies in combination.
Indexed as
Identifiers
What OpenQuestion holds
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.