Virtual reality in the rehabilitation of the arm after hemiplegic stroke: a randomized controlled pilot study
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
OBJECTIVE: To assess the feasibility of a trial to investigate the effectiveness of virtual reality-mediated therapy compared to conventional physiotherapy in the motor rehabilitation of the arm following stroke, and to provide data for a power analysis to determine numbers for a future main trial. DESIGN: Pilot randomized controlled trial. SETTING: Clinical research facility. PARTICIPANTS: Eighteen people with a first stroke, 10 males and 8 females, 7 right and 2 left side most affected. Mean time since stroke 10.8 months. INTERVENTIONS: Participants were randomized to a virtual reality group or a conventional arm therapy group for nine sessions over three weeks. MAIN MEASURES: The upper limb Motricity Index and the Action Research Arm Test were completed at baseline, post intervention and six weeks follow-up. RESULTS: Outcome data were obtained from 95% of participants at the end of treatment and at follow-up: one participant withdrew. Compliance was high; only two people reported side-effects from virtual reality exposure. Both groups demonstrated small (7-8 points on upper limb Motricity Index and 4 points on the Action Research Arm Test), but non-significant, changes to their arm impairment and activity levels. CONCLUSION: A randomized controlled trial of virtual reality-mediated therapy comparable to conventional therapy would be feasible, with some suggested improvements in recruitment and outcome measures. Seventy-eight participants (39 per group) would be required for a main trial.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.025 | 0.098 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it