Acute Effects of Turmeric Extracts on Knee Joint Pain: A Pilot, Randomized Controlled Trial
Bibliographic record
Abstract
Turmeric extracts (TEs) have been shown to be suitable as a pain treatment for human joint arthritis. In a pilot, randomized clinical trial, 68 individuals with mild/moderate knee joint pain (KJP) consumed a new formulation of water-soluble TEs and insoluble curcuminoids (B-Turmactive ® ) or brewer's yeast as a placebo for 1 week. Our hypothesis was that B-Turmactive would have a short-term analgesic effect on KJP measured by the self-reported Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC). After 3 days and 1 week, both treatments reduced pain when walking on a flat surface ( P < .01), going up or down stairs ( P < .001), and sitting or lying ( P < .05), but only B-Turmactive reduced pain at night while in bed and in an upright standing position ( P < .01). Concerning global KJP, it was reduced by both treatments after 3 days and 1 week of the intervention ( P < .001), being less with B-Turmactive after 1 week ( P = .012 vs. 3 weeks). Although no intertreatment differences were observed, only B-Turmactive decreased high-sensitivity C-reactive protein levels ( P = .045) at 1 week, which indicates a prompt analgesic effect mediated by a decrease in inflammatory status.
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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) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.005 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.009 | 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".