Assessment of pulsed electromagnetic field therapy with Serum <scp>YKL</scp>‐40 and ultrasonography in patients with knee osteoarthritis
Bibliographic record
Abstract
AIM: The use of biomarkers of osteoarthritis (OA) have potential for early diagnosis, evaluation of disease severity and monitoring treatment. Serum and synovial fluid YKL-40 levels are increased in severe knee OA. Pulsed electromagnetic field (PEMF) therapy is a novel treatment method for OA. However, studies evaluating the PEMF therapy in treatment of knee OA revealed conflicting results. This study was conducted to objectively assess the effect of PEMF therapy in patients with knee OA, by using ultrasonographic measurements and a novel biomarker, YKL-40. METHODS: Forty patients were randomized into two treatment groups. Both groups received conventional physical therapy, while Group 1 received additional PEMF therapy. The patients were asked to rate their pain on a visual analogue scale (VAS) and complete a Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) questionnaire. Serum YKL-40 levels were measured, and knee effusion and cartilage degeneration level were evaluated with ultrasonography before and after treatment. RESULTS: Pre-treatment YKL-40 level was correlated with WOMAC pain subscale (P = 0.032, r = 0.339). VAS and WOMAC scores significantly improved in both treatment groups (P < 0.05). The effusion in the right knee significantly decreased in Group 1. The change in YKL-40 level was not correlated with the change in VAS, WOMAC scores and knee effusion. CONCLUSION: This study revealed that adjuvant PEMF therapy has no additional effect on pain in patients with knee OA. Serum YKL-40 level seems to be unuseful for monitoring the treatment in knee OA.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| 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 | 0.000 | 0.000 |
| 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".