Trial reportStroke2026
Action Observation Combined With Virtual Reality Promotes Motor Recovery After Stroke: A Randomized Controlled Trial.
Trial report in Stroke, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05163210 (Effectiveness of Action Observation Therapy Based on Virtual Reality Technology in Motor Rehabilitation of Paretic Stroke Patients), which is not on this map. Cited by 2 papers.
What it found
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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.
Effectiveness of Action Observation Therapy Based on Virtual Reality Technology in Motor Rehabilitation of Paretic Stroke Patients: a Randomized Clinical Trial
Who cites it
2 citing papers in PubMed.
- Impact of Virtual Reality-Based Task-Oriented Training for Enhancing Motor Function and Activities of Daily Living in Patients With Subacute Stroke: A Randomized Controlled Trial.Medical science monitor : international medical journal of experimental and clinical research · 2026Trial
- Virtual Reality Training for Post-Stroke Upper Limb Hemiparesis.Neurology international · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
18 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundAction observation treatment and virtual reality are established approaches for upper limb rehabilitation after stroke. This study investigated whether combining action observation with virtual reality improves hand dexterity and upper limb motor recovery compared with virtual reality alone.
methodsIn this multicenter, assessor-blinded randomized controlled trial conducted in inpatient rehabilitation centers in Italy between January 2022 and September 2024, poststroke adults with hemiplegia (n=48) were assigned to the experimental or to the control group. Both underwent 20 one-hour sessions over 5 weeks. Participants of the experimental group observed goal-directed daily actions before replicating them in virtual reality, whereas participants of the control group viewed nature scenes before performing the same virtual reality tasks without action observation. Motor function was evaluated at baseline, postintervention, and 6-month follow-up using the Box and Block Test, with the primary estimand defined as the between-group difference in change in paretic hand scores. Secondary outcomes included measures of muscle strength, spasticity, global disability, and functional independence.
resultsBoth groups showed improvement in Box and Block scores for both hands. However, the experimental group demonstrated a greater gain in paretic hand function, with a between-group difference in change of 7.8 blocks at posttreatment (95% CI, 7.1-7.9) and 10.8 blocks at 6-month follow-up (95% CI, 10.6-10.9). Improvements in the nonparetic hand were comparable between groups. Similar improvements across both groups were observed in secondary outcome measures. A significant treatment×age×time-from-stroke interaction was observed for paretic hand dexterity, indicating that treatment effects varied according to these covariates.
conclusionsAction observation combined with virtual reality appears to be more effective than virtual reality alone for promoting upper limb motor recovery after stroke, particularly in enhancing fine motor function of the paretic hand. REGISTRATION: URL: https://www.clinicaltrials.gov; Unique identifier: NCT05163210.
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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.