[Effectiveness of the fixed combination of type II native collagen, omega-3 and astaxanthin in patients with knee osteoarthritis].
Bibliographic record
Abstract
INTRODUCTION: osteoarthritis is one of the most prevalent chronic diseases in the world and is defined as the gradual loss of cartilage in the joints, mainly that of the knee. It is considered a cause of disability in older adults and is characterized by pain, stiffness and loss of mobility. MATERIAL AND METHODS: observational study to evaluate the effect of the combination of non-hydrolyzed type II native collagen (CII-NH), omega-3 (Om-3) and astaxanthin (AX), in a population of 182 patients with knee osteoarthritis grade I/II. Measurements of thigh circumference, arcs of movement and pain were obtained through international scales such as the visual analogue pain scale (VAS), the Lequesne index and the Western Ontario McMaster Universities Osteoarthritis Index (WOMAC) scale. Medical check-ups were performed every 30 days for three months. The Statgraphics software (Statgraphics Technologies, Virginia) was used, the evaluation of the variables and the statistical significance were determined by t Student test and the results are shown as a mean. RESULTS: it was shown that daily consumption increases mobility, decreases knee pain and inflammation in patients within three months. Additionally, there was a reduction in the consumption of nonsteroidal anti-inflammatory drugs (NSAIDs) by the study subjects. CONCLUSION: the fixed combination of non-hydrolyzed type II collagen, omega-3 and astaxanthin, generates, in the short term, a decrease in inflammation and stiffness in patients with osteoarthritis.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 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) | 0.003 | 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 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".