Occupational therapy integrated with a self-administered stretching program on systemic sclerosis patients with hand involvement.
Bibliographic record
Abstract
OBJECTIVES: To evaluate the effect of occupational therapy (OT) intervention, integrated with a self-administered stretching program on the hands of patients with SSc, after one and three months of treatment. METHODS: We enrolled 31 patients with SSc, randomly allocated to the occupational group (15 patients) or to the control group (16 patients). Each patient received specific outcome measures: Canadian Occupational Performance Measure (COPM), HAQ, Short-Form Health Survey (SF-36), Duruoz Hand Index (DHI), reassessed after 1 (T1) and three months (T2). RESULTS: At T1 and T2 we found a statistically significant improvement from baseline values of COPM Performance and COPM Satisfaction in the OT group compared to baseline. At T2 HAQ values and Mental SF36 were also significantly improved. In the control group we found a statistically significant improvement of HAQ values and Mental SF36 at T1, confirmed at T2. COPM Performance was also significantly improved. The comparison between the two groups showed a greater improvement in the OT group concerning COPM Performance at T1 and T2. Mental SF-36 score greater improved in the control group at T1. CONCLUSIONS: Our results indicate that a rehabilitation program including OT and self-administered stretching exercises may be effective to improve and maintain hand function in patients with SSc.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".