Clinical Evaluation of Upanaha with Vachadi Churna in the Management of Osteoarthritis Knee
Bibliographic record
Abstract
Background: Osteoarthritis (OA) is a chronic degenerative joint disease and is the commonest form of arthritis. It is the fourth leading cause of disability worldwide. Most of this disability burden is attributable to the involvement of the hips or the knee. Objectives: To assess the clinical efficacy of Upanaha with Vachadi Churna in the management of OA knee concerning pain and stiffness of joints. Materials and methods: It was an open-label, multicentric, single-arm, prospective, clinical study. Sixty subjects of primary OA knee aged between 35 years and 65 years fulfilling the diagnostic criteria of American College of Rheumatology (ACR) for OA knee and showing radiological changes of OA knee were enrolled in the study. Upanaha with Vachadi Churna was done over the affected knee for 14 days. The primary outcome was to see any change in pain and stiffness of joints which was assessed on the visual analog scale (VAS) and Western Ontario and McMaster University Osteoarthritis Index (WOMAC). The assessment was done on the 7th and 14th day and 1 week after completion of therapy, i.e., 21st day. Results: The mean pain score as assessed by VAS, reduced significantly from 64.48 at baseline to 31.95 at the end of the treatment period of 14 days ( p value < 0.001). The mean stiffness score assessed on VAS also reduced significantly from 39.68 at baseline to 16.0 after 14 days ( p value < 0.001). Significant change in total WOMAC score was also observed, which reduced from mean baseline score of 48.02 to 26.98 till the end of the intervention period of 14 days ( p value < 0.001). Significant improvement in cardinal features of osteoarthritis was also observed after completion of therapy. Conclusion: This study substantiates the efficacy of Upanaha with Vachadi Churna in the management of OA knee.
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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 | 0.000 |
| 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".