Efficacy and safety of low-molecular-weight collagen peptides in knee osteoarthritis: a randomized, double-blind, placebo-controlled trial
Bibliographic record
Abstract
Introduction: Knee osteoarthritis (OA) is a common degenerative joint disease with limited safe, long-term treatment options. Nutritional interventions, such as low-molecular-weight collagen peptides (LMCP), have emerged as promising non-pharmacological strategies for joint health. However, clinical evidence is insufficient. Therefore, we aimed to assess the efficacy and safety of LMCP supplementation in patients with knee OA. Methods: In this double-blind, randomized, placebo-controlled trial, 80 adults aged 40-75 with Kellgren-Lawrence (KL) grade I or II OA received either 3,000 mg/day LMCP or a placebo for 180 days. Primary endpoint included changes in Western Ontario and McMaster Universities Osteoarthritis (WOMAC) pain scores. Secondary endpoints included visual analog scale (VAS), WOMAC physical function and total scores, joint space width (JSW), and inflammatory markers. Adverse events (AEs) and patient compliance were monitored throughout the study. Results: = 0.028, respectively). No significant changes were observed in JSW or inflammatory markers. No AEs occurred. Conclusions: Daily supplementation of 3,000 mg of LMCP for 180 days was safe and effective in relieving joint pain and improving function in patients with KL grade I or II knee OA. LMCP is a promising nutrition-based non-pharmacological therapeutic option, particularly for individuals seeking complementary options to long-term non-steroidal anti-inflammatory drug therapy. Clinical trial registration: The trial was prospectively registered at the Clinical Research Information Service of South Korea (registration number: KCT0005507). The study was conducted at Pusan National University Korean Medicine Hospital (https://cris.nih.go.kr/).
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 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 | 0.000 |
| 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".