The Effect of Sensory Therapy on Upper Extremity Functions and Activities of Daily Living in Patients with Chronic Stroke: A Randomized Controlled Trial
Bibliographic record
Abstract
Abstract Introduction The aim of this study was to investigate the effects of intensive sensory therapy on upper extremity functions, daily activity and life quality of stroke survivors. Methods This randomized controlled trial included 30 participants aged between 18 and 80 years, who were divided into a sensory-training group (n = 15) and a control group (n = 15). Both groups received 15 sessions of 30 minutes of physical therapy, occupational therapy, and 20 minutes of activity daily living training for three weeks. The ST group also received intensified sensory therapy during each session. Thumb localization, finger shift, and stereognosis tests were performed in both groups only before the start of intervention. The Jebsen Taylor Hand Function Test, Canadian Occupational Performance Measure, Modified Frenchay Scale, and Stroke Specific Quality of Life Scale (SS-QOL) were administered before and after intervention. Results Statistically significant differences were observed between the ST group and the control group across all tests, except for the Language, Thinking, and Vision parameters of the SS-QOL. Conclusion These results suggest that sensory therapies applied with conventional interventions increased upper extremity functions, activity daily living performance, participation and quality of life of the stroke survivors. Registration URL: https://clinicaltrials.gov/study/NCTxxxxxx Unique identifier: NCTxxxxx.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.010 | 0.001 |
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".