Acujoint™, a high efficient formulation with natural bioactives, exerts potent anti-arthritis effects in human osteoarthritis - A randomized clinical study
Bibliographic record
Abstract
The aim of the study was to evaluate the efficacy and safety of Acujoint™ - a supplement for articular cartilage degradation- in the treatment of patients with Osteoarthritis (OA) by comparing it with glucosamine and chondroitin formulation, which is a popular supplement used to treat OA. Acujoint™ is a health supplement prepared with extracts of 3-O-acetyl-11-keto-β-boswellic acid from Boswellia serrata, β-Caryophyllene from Piper nigrum, aqueous extract of Kaempferia galangal and Cureit™ - a bioavailable curcumin formulation- in a fixed ratio based on complete natural matrix, which has been used to treat osteoarthritis. A randomized, double blind, active controlled, single centre, clinical study was carried out using Acujoint™ during 90 days of treatment in 24 patients (1:1 ratio) with symptoms of moderate to mild OA along with combination of Glucosamine (1500 mg) and Chondroitin (1200 mg). The study shows that Acujoint™ can provide significant improvement in relieving the symptoms and the pain associated with active OA between the groups as well as within the groups. Active OA patients, who received Acujoint™ at 250 mg per day for a treatment period of 90 days, reported statistically significant changes/decreases in their clinical symptoms and pain. This was evident from significant changes in the total Western Ontario and McMaster Universities Osteoarthritis index (WOMAC) score, pain score, functional ability score, visual analog scale (VAS) score and Lequesne functional index values at P < 0.05 level. Acujoint™ promises the beneficial effects for the treatment of human knee osteoarthritis by controlling inflammatory responses as well as the pain without any adverse effects.
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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 | 0.006 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 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 | 0.002 |
| 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".