THE EFFECT OF DIACEREIN AND MELOXICAM COMBINATION VERSUS MELOXICAM ALONE ON PHYSICAL FUNCTION IN PATIENTS WITH KNEE OSTEOARTHRITIS
Bibliographic record
Abstract
Objective: More than 50% of patients with knee osteoarthritis (OA) had an inadequate pain relief in its management. Combination therapy could be the solution to this problem. The aim of this study was to compare the efficacy of combination therapy of diacerein and meloxicam with meloxicam alone in the patient with knee OA.Methods: A total of 64 knee OA patients were recruited from Rumah Sakit Umum Daerah Dr. Mohammad Soewandhie Surabaya. They were allocated to combination group and single therapy group using randomized controlled trial design. The Western Ontario and McMaster Universities Arthritis Index (WOMAC) physical function questionnaire were assessed in weeks 0–4th. The difference between pre- and post-treatment score and area under the curve (AUC) of WOMAC score were calculated.Results: Combination therapy and single therapy had significant clinical effect with the downregulated score of WOMAC physical function after 4th week (p<0.05). However, there were no differences in AUC of WOMAC physical function score between combination and single therapy.Conclusion: Patient with knee OA could gain beneficial efficacies from combination therapy of diacerein and meloxicam. Studies of longer follow-up time to get the differences in AUC of WOMAC physical function score are needed.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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 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".