The Effect of a Natural Oral Nutritional supplement on the Level of Intra-Articular Inflammatory Mediators in Patients with Osteoarthritis of the Knee
Bibliographic record
Abstract
Objective : To determine the clinical efficacy of a novel combination of natural agents with potential anti-inflammatory properties in patients with knee osteoarthritis. Design : A prospective, randomized, double-blind, multicenter study. Methods : Subjects with symptomatic knee osteoarthritis were randomized to one of two groups; Synogesic® (Group A) or placebo (Group B). Synogesic is a proprietary blend of Turmeric Extract, Ginger Root Extract, Boswellia Serrata Extract, Vitamin C, Vitamin D and Rutin. Patients were evaluated at baseline and 12 weeks after enrollment. Patient reported outcome measures (PROM) included Visual Analog Scale (VAS) for pain, Western Ontario and McMaster Universities Arthritis Index (WOMAC) and Knee injury and Osteoarthritis Outcome Score (KOOS). Synovial fluid samples were obtained at baseline and at 12 weeks and sent for measurement of various inflammatory markers. Results : 43 patients (22 in Group A and 21 in Group B) completed the study. In Group A, VAS for pain improved by 46.8% (P<0.001), WOMAC by 23.4% (P=0.006), KOOS for pain and ADL by 19.8% and 14.9% respectively (P=0.008 and P=0.002). In Group B, there was no significant improvement in any of the PROM assessed. Synovial fluid inflammatory markers increased by 6.2% in Group A and 54.6% in Group B (P=0.02). Of the 41 pro-inflammatory markers examined, 26 (63.4%) decreased in Group A, while only 13 (31.7%) decreased in Group B (P = 0.008). Conclusion : In this study, the novel natural anti-inflammatory product reduced pain and improved function, likely through reduction of pro-inflammatory cytokines in synovial fluid in patients with knee osteoarthritis.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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".