<p>The Use of a New Food-Grade Lecithin Formulation of Highly Standardized Ginger (<em>Zingiber officinale</em>) and <em>Acmella oleracea</em> Extracts for the Treatment of Pain and Inflammation in a Group of Subjects with Moderate Knee Osteoarthritis</p>
Bibliographic record
Abstract
PURPOSE: on pain and inflammation. PATIENTS AND METHODS: Pilot study with one-group pretest-posttest quasi-experimental design in which 50 subjects with moderate knee osteoarthritis (OA) (mean age: 62.46±8.45) were supplied for four weeks with two tablets/day. RESULTS: Primary outcomes were 1) the evaluation of pain intensity, by a 30-day visual analogue scale (VAS) and 2) the assessment of knee function by WOMAC (Western Ontario and McMaster Universities Arthritis) Index and by Tegner Lysholm Knee Scoring collected at baseline, at 15 and 30 days after treatment. Secondary outcomes were 3) health-related quality of life, by the ShortForm36 (SF-36); 4) inflammation grade by C-reactive protein (CRP) and erythrocyte sedimentation rate (ESR); and 5) body composition by dual-energy X-ray absorptiometry (DXA) measured at baseline and 30 days after treatment. Data showed significant effects of supplement intake for WOMAC (β=-3.27, p<0.0001), Lysholm (β=1.06, p=0.0003), CRP (β=-0.13, p=0.006), ESR (β=-3.09, p=0.004), physical activity (β=4.3, p=0.009) and fat-free mass (β=376.7, p=0.046). A significant VAS's decrease over time was observed in both knees (left: β=-0.08, p<0.0001; right: β=-0.07, p<0.0001). CONCLUSION: The tested formulation seems to be effective and also free of side effects.
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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 | 0.016 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 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".