SELF-MANAGEMENT PROGRAM (PARQVE) IMPROVES QUALITY OF LIFE IN SEVERE KNEE OSTEOARTHRITIS
Bibliographic record
Abstract
Objective: To evaluate the effects of the self-management program PARQVE in patients with severe knee osteoarthritis (KOA). Methods: Prospective randomized controlled clinical trial with 65 grade IV Kelgren & Lawrence (K&L) KOA patients who were allocated into groups: Control (CG) and Intervention (IG). Both groups received usual care. IG also participated in two days of multi-professional interventions about OA (causes and treatment) and received the program's DVD and book. Standing X-rays were obtained at inclusion and Ahlback's classification was registered. Western Ontario and McMaster Universities Index (WOMAC), Numerical Rating Scale (NRS), Lequesne, weight, and body mass index (BMI) were obtained at inclusion, and after 6, 12 and 24 months. Results: Groups were similar at baseline, despite higher WOMAC stiffness scores and a greater number of Ahlback's grade 4 and 5 in the IG. Only the IG improved WOMAC and total functions (p<0.001) during the study period above 12%, but did not reach the minimal clinically important difference of 20%. Best results were in one year. Non-significant improvements were observed without changes in body composition (P>0.05). Conclusions: Patients with severe KOA have mild to moderate function and quality of life improvement due to self-management program (PARQVE).
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| 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 | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".