Clinical benefits of undenatured chicken collagen type II Unstergen® as a nutritional therapy in the management of osteoarthritis: a double-blind, placebo controlled clinical study
Bibliographic record
Abstract
Background: Osteoarthritis (OA) is a degenerative joint disease affecting millions globally, often leading to pain and reduced mobility. Nutraceuticals like undenatured chicken collagen are gaining attention for their potential in symptom relief. This proof-of-concept study evaluates the clinical efficacy of Unstergen® of Titan Biotech Limited in the management of OA. Methods: This randomised, double-blind, placebo-controlled study studies 48 adults with OA. Subjects received 40 mg/day of Unstergen® (n=32) or placebo (n=16) once a day for 90 days. Outcomes were assessed using WOMAC score, pain scale, quality of life questionnaire (QoL) for all and global rating of change scale (GROC) using X ray of target joint for a cohort of 12 subjects. Results: Unstergen group demonstrated statistically significant reduction of 20.39% in Western Ontario and McMaster universities osteoarthritis index (WOMAC) scores and 37.77% in pain numerical rating scale (Pain NRS) compared to 7.24% and 8.70% reduction in the placebo arm, respectively. The 90.32% subjects reported improvement in QoL compared to placebo (p<0.05). The 87.50% subjects were deemed to have marked improvement on their X ray while no subject in the placebo arm showed improvement after 90 days. No adverse event was attributed to Unstergen and was deemed clinically safe. Conclusions: Unstergen® demonstrated significant improvement in pain, function and QoL; highlighting its role as a novel nutraceutical supplementation therapy for OA.
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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 | 0.010 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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 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".