Effect of pine bark extract (Pycnogenol<sup>®</sup>) on symptoms of knee osteoarthritis
Why this work is in the frame
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Bibliographic record
Abstract
OBJECTIVE: The safe and efficacious use of Pycnogenol (French maritime pine bark extract) in other inflammatory diseases prompted this study of its antiinflammatory effects in patients with osteoarthritis (OA). The aim of the study was to evaluate whether Pycnogenol reduces the symptoms of OA in a double-blind, placebo-controlled, randomly allocated trial with patients suffering from knee osteoarthritis stages I and II. METHODS: 100 patients were treated for 3 months either by 150 mg Pycnogenol per day at meals or by placebo. Patients had to report any change of use of previously prescribed antiinflammatory medication during the study period. Patients filled the Western Ontario and Mc Masters University (WOMAC) questionnaire for osteoarthritis every 2 weeks and evaluated weekly pain symptoms using a visual analogue scale for pain intensity. RESULTS: Following treatment with Pycnogenol patients reported an improvement of WOMAC index (p < 0.05), and a significant alleviation of pain by visual analogue scale (p < 0.04), the placebo had no effect. The use of analgesics diminished in the verum group but increased under the placebo. Treatment with Pycnogenol was well tolerated. CONCLUSION: Results show that Pycnogenol in patients with mild to moderate OA improves symptoms and is able to spare NSAIDs.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 it