Deer Bone Extract Supplementation for Mild-to-Moderate Knee Osteoarthritis Symptoms: A Randomized, Double-Blind, Placebo-Controlled Trial
Bibliographic record
Abstract
In this randomized, double-blind, placebo-controlled study, we evaluated the efficacy of deer bone extract (DBE) in participants with knee osteoarthritis (OA). We enrolled 50 participants aged 50-70 years, having knee OA with a Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) score ≥5.0. The participants were assigned to the placebo or DBE group (550 mg/day) for 12 weeks. The outcome measures were as follows: pain score on the visual analog scale (VAS); WOMAC score; and blood and urine biomarkers. In the DBE group, VAS scores, WOMAC total scores, and WOMAC subscores (for pain, stiffness, and physical function) improved significantly compared with the baseline values. However, there was no significant difference in outcomes between the DBE and placebo groups. The present findings suggest that DBE may mildly reduce joint pain and stiffness and improve joint function in patients with painful knee OA.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 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".