Effect of Nucart VG (Boswellia serrata in combination with veg glucosamine sulphate) in comparison with glucosamine sulphate to improve quality of life of knee osteoarthritis patients: a randomized controlled trial
Bibliographic record
Abstract
Background: Boswellia serrata has been proved to be an effective and safe herb for the treatment of osteoarthritis (OA). This study aims at assessing the synergistic effect of this herb with vegetarian glucosamine sulphate, a nutritional supplement, on knee osteoarthritis using quality of life indicators. Methods: This was an open label, parallel group randomized trial of 12-week duration. Sixty-six subjects were equally randomized to two treatment arms: Boswellia serrata extract (600 mg) and glucosamine (750 mg) [Nucart VG]; and glucosamine sulphate (market comparator) 750 mg. Patients were administered 1 tablet twice-a-day post-meal for three months. Efficacy of treatment was measured on primary end-points like EuroQol-5D (EQ-5D) (health status indicator), visual analogue scale (VAS) and Western Ontario and McMaster Universities osteoarthritis index (WOMAC) scale (pain indicators), while safety was measured in terms of vital parameters. Both intention-to-treat (ITT) and per-protocol (PP) analyses were performed for comparing scores between the two groups. Results: The baseline characteristics of patients between two groups were insignificantly different (p>0.05). In ITT analysis, the health status (EQ-5D score) of patients in Nucart VG group improved significantly than the comparator group at follow up 2 (p=0.037) and showed further improvement at follow up 3 (p=0.012). The pain indicators i.e. VAS and WOMAC scores were significantly lower in Nucart VG group right from follow up 1 till follow up 3 (p<0.05). Similar were the observations during PP analysis. Conclusions: Nucart VG is beneficial for the treatment of mild to moderate knee OA, as inferred from the functional and health status assessment.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.005 | 0.003 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.010 | 0.001 |
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".