A community-based study for evaluation of Ayurvedic formulations in the management of Osteoarthritis Knee
Bibliographic record
Abstract
Background: Osteoarthritis (OA) of the knee is a major public health concern that leads to pain, disability and decreased quality of life. A similar condition has been described in Ayurveda under the name Sandhigata Vata which is caused by vitiation of Vata in the body. Objectives: Evaluation of the effectiveness and tolerability of Yograj Guggulu, Ashwagandha Churna, and Narayana Taila in OA knee. Materials and methods: The study was a prospective, multi-center, non-controlled interventional, community-based study conducted in 10 centres in India. 493 participants of any gender aged between 40 to 65 years & diagnosed with OA knee as per the diagnostic criteria American College of Rheumatology (2012), were enrolled in the study considering selection criteria. Ayurvedic formulations, Yograj Guggulu & Ashwagandha Churna were administered orally along with the local application of Narayana Taila twice daily for 12 weeks. The assessment was carried out on 28th, 56th, 84th and 112th day for any changes in the outcome measures. Results: The Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) total score, the WOMAC sub-scores for pain, stiffness and difficulty in physical activity, the Visual Analogue Scale (VAS) score for pain and the disease-specific symptoms were significantly decreased throughout treatment and during follow-up without intervention. Conclusion: The study demonstrates that the Ayurvedic interventions are well tolerable and beneficial in reducing the symptoms of OA knee.
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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 | 0.008 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 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".