<b>Effect of <i>Delphinium denudatum</i> Wall. (Jadwar) on Knee Osteoarthritis: A Randomized Double-Blinded Placebo-Controlled Clinical Trial</b>
Bibliographic record
Abstract
Background: Osteoarthritis (OA) is the most common disease of joints. The management of OA is challenging due to the efficacy and safety of treatments. In recent decades, traditional herbal medicines have been introduced for treatment of disease. Delphinium denudatum Wall. (Jadwar) is a medicinal herb with a long-lasting usage in traditional Persian medicine for joint diseases. The present study aimed to investigate the effect of Jadwar on pain and symptoms of knee OA. Methods: In this randomized double-blind placebo-controlled trial, 104 patients with knee OA were randomly assigned into two groups of intervention and control. While the intervention group received one Jadwar capsule (500 mg) twice a day for four weeks, the control group received placebo capsules. The primary outcomes, including pain, stiffness, and physical activity were evaluated using the Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) questionnaire and the Visual Analogue Scale (VAS) at baseline two and four weeks after the intervention. Results: Ninety-four participants completed the study. Considering the time of interaction, after four weeks, data analysis revealed a significant decrease in the VAS score (37.23±12.58 vs. 57.87±13.21), total WOMAC score (24.83±9.70 vs. 49.17±12.89), WOMAC pain score (7.19±2.90 vs. 12.40±4.46), stiffness (2.06± 0.845 vs. 4.11±1.14), and physical function (15.57±7.25 vs. 32.66±9.78) in the intervention group compared to the control group (P<0.0001 for all outcomes). Additionally, no serious adverse effects were reported. Conclusion: Jadwar can be suggested as a safe medicinal plant for knee OA because it can relieve the pain and symptoms of 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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.002 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 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".