Investigation of the effects of upper extremity home exercises on grip strength, range of motion, activity performance, and functionality in individuals with systemic sclerosis: a randomized controlled trial
Bibliographic record
Abstract
OBJECTIVE: This study aimed to investigate the effects of upper extremity home exercises on grip strength, range of motion, activity performance, and functionality in individuals with systemic sclerosis and to compare with patient education. METHODS: A total of 46 individuals with systemic sclerosis (55.52±11.54 years) were included. Individuals were randomly assigned into intervention (n=23) and control (n=23) groups. Dynamometer, goniometer, Canadian Occupational Performance Measurement, Disabilities of the Arm, Shoulder, and Hand, Score for Assessment and Quantification of Chronic Rheumatic Affections of the Hands, and Duruoz Hand Index were used for evaluation. RESULTS: Post-treatment, in terms of delta (Δ) values, hand grip and pinch strengths (p: 0.000-0.016), active (p: 0.000-0.032) and passive (p: 0.000-0.043) total range of motions, Canadian Occupational Performance Measurement performance and satisfaction, Disabilities of the Arm, Shoulder, Score for Assessment and Quantification of Chronic Rheumatic Affections of the Hands, and Duruoz Hand Index (p: 0.000) were in favor of the intervention group. CONCLUSION: Upper extremity home exercises increase grip strength, range of motion, activity performance, and functionality in patients with systemic sclerosis. We recommend that rehabilitation programs include not only hand exercises but also upper extremity exercises.
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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 | 0.001 |
| Meta-epidemiology (broad) | 0.005 | 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 | 0.001 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 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".