Effects of group-based versus individual physical exercise programs for knee osteoarthritis: A systematic review and meta-analysis
Bibliographic record
Abstract
Background: Knee osteoarthritis (OA) is the most common joint disease worldwide and is associated with a high rate of disability and poor quality of life. However, little is known about the therapeutic effects of group-based versus individual-based physical exercise protocols. Objective: To investigate the effects of individual versus group-based physical exercises on pain intensity and functional outcomes in people with knee OA. Methods: MEDLINE/PubMed, Cochrane, EMBASE, and PEDro databases were searched from the earliest date available to July 2023. Study quality was evaluated using the PEDro scale. Mean difference (MD), standardized mean difference (SMD), and 95% confidence interval (CI) were calculated using a random effect model. Results: Six studies, with 763 patients, met the study criteria. Group-based physical exercises improved pain intensity (VAS 0-100) MD -17.2 (95% CI: -22.2 to -12.3), the Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) pain subscale MD -0.54 (95% CI: -1.0 to -0.08), WOMAC function subscale MD -2.1 (95% CI: -4.1 to -0.08) compared to individual modality. No significant difference regarding muscle strength and exercise tolerance was found for participants in the group-based physical exercises compared with individual physical ones. Conclusion: Group-based physical exercise was more successful in reducing pain intensity and functional impairment in patients with knee OA than individual exercise programs. Both group-based and individual physical exercise programs enhanced muscle strength and 6-minute walk distance.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.009 | 0.006 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".