Comparative efficacy of methyl salicylate iontophoresis and moist heat pack in the management of knee osteoarthritis
Bibliographic record
Abstract
Objective: To investigate the effectiveness of methyl salicylate iontophoresis in reducing pain and disability in patients with knee osteoarthritis (OA). Materials and methods: A total of 40 patients with knee OA patients who were admitted at the outpatient physiotherapy clinic participated in this study. The patients were randomly assigned into two groups. Group A received methyl salicylate iontophoresis while group B received moist packs daily for a period of two weeks. Patients were evaluated for pain and functional capacity using numerical pain rating scale (NPRS), walking speed test (WST), modified get up and go test (MGUGT), total single limb standing test (TSLST) and Western Ontario McMaster Universities Osteoarthritis Index (WOMAC) before therapy and after 2 weeks of intervention. Results: The mean age and duration of symptoms were 56.45±6.30, and 2.27±1.05 years respectively for individuals treated with methyl salicylate iontophoresis and 56.8±5.47, 2.12±0.86 years for individuals treated with moist pack. After 2 weeks of intervention, significant differences were observed in all outcome parameters for both groups when compared to baseline values (P<0.01). Also, significant difference was found in most of the parameters except MGUGT in both groups post interventionally (P<0.001, P=0.103). Conclusion: Methyl salicylate iontophoresis can be included in the treatment of knee osteoarthritis to enhance pain relief and functional activity.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.002 | 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".