Clinical evaluation of Vatari guggulu , Maharasnadi kwatha and Narayan taila in the management of osteoarthritis knee
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
BACKGROUND: In present era, pharmacological, bio-chemical and surgical interventions are not success remedy for Osteoarthritis (OA). Ayurveda and other complementary medicine have medication for OA. OBJECTIVES: The main aim of the study was to assess the efficacy and safety of therapeutic combination of Vatari guggulu along with Maharasnadi kwatha and Narayan taila with gentle massage for 15 min daily up to 12 weeks on affected knee joint pain assessed on Visual analogue scale (VAS) and Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC). MATERIALS AND METHODS: It was an open label, multicentre, prospective, clinical study conducted on 142 patients of OA Knee. Vatari guggulu 500 mg thrice in a day along with Maharasnadi kwatha 20 ml with equal amount of water twice daily and Narayan taila 20 ml twice in a day for external application with gentle massage for 15 min up to 12 weeks were used to all the study participants. RESULTS: VAS, WOMAC score and clinical symptoms were reduced significantly from baseline to end of the treatment (P < 0.001). CONCLUSIONS: The study provides good evidence in support of the efficacy and safety of the Vatari guggulu along with Maharasnadi kwatha and Narayan taila in the management of Osteoarthritis knee.
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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 | 0.010 | 0.002 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 it