Effectiveness of an individualized comprehensive rehabilitation program in women with chronic knee osteoarthritis: a randomized controlled trial
Bibliographic record
Abstract
OBJECTIVE: To evaluate the short- and medium-term effects of an 8-week individualized comprehensive rehabilitation program in women with chronic knee osteoarthritis as regards functionality, physical performance, and perceived health status. METHODS: Women with chronic knee osteoarthritis were randomly assigned to the aquatic training group or to the individualized comprehensive rehabilitation (ICR) group. The main outcomes were functionality assessed with the Western Ontario and McMaster Universities Osteoarthritis Index, physical performance assessed with the Timed Up and Go test and the Stair Climbing Test, and perceived health status evaluated with the European Quality of Life- 5 Dimensions questionnaire. Participants were assessed after the treatment and at 3-month follow-up. RESULTS: Forty participants were included in the study. After the treatment, there were no significant between- group differences. At 3-month follow-up, there were significant between-group differences in functionality (stiffness P = 0.049, function P = 0.005, and total subscores P = 0.048) and physical performance (Timed Up and Go P = 0.031 and Stair Climbing Test P = 0.046) in favor of the ICR group. CONCLUSION: An 8-week ICR program improved functionality, physical performance, and perceived health status compared with an aquatic training program in women with chronic knee osteoarthritis.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".