Efficacy of Mesotherapy for Pain, Function and Quality of Life in Patients with Mild and Moderate Knee Osteoarthritis: A Randomized Controlled Trial.
Bibliographic record
Abstract
OBJECTIVE: To investigate the effects of mesotherapy in patients with mild to moderate knee osteoarthritis (KOA). METHODS: The study included 43 patients (56 knees) who were randomly assigned to either the mesotherapy group (MG, n=28) or the saline group (SG, n=28) and received a total of 4 weekly mesotherapy (MG) or saline injections (SG). Pain, functional status and quality of life were evaluated by a Visual Analogue Scale (VAS), the Western Ontario Universities Osteoarthritis Index (WOMAC) and the Short Form-36 (SF-36) subscales at baseline and at 8 and 16 weeks of follow-up. RESULTS: A total of 39 patients (52 knees) completed the study. Eight weeks after treatment, a significant improvement was found in VAS pain scores, WOMAC scores and physical component scores (PCS) of the SF-36 in both groups compared to baseline (p<0.05). The VAS activity pain score, WOMAC-pain, WOMAC-physical function and WOMAC-total scores were found to have decreased significantly in the MG compared to the SG (p<0.001) at both 8 weeks and 16 weeks. The PCS scores significantly improved in the MG compared to the SG at 8- and 16-week follow-ups (p<0.001 and p<0.001, respectively). CONCLUSIONS: Mesotherapy is a well-tolerated, safe and effective alternative treatment option in patients with mild and moderate KOA.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".