Efficacy, residual effectiveness and safety of diacerein in the treatment of knee osteoarthritis: A meta-analysis of randomized placebo-controlled trials
Bibliographic record
Abstract
BACKGROUND: Osteoarthritis (OA) is the leading cause of disability in the elderly. Prevention and treatment of OA have become an urgent global demand. The pharmacologic role of diacerein in the treatment of osteoarthritis is controversial. We systematically reviewed the efficacy, safety, and residual effectiveness of diacerein. OBJECTIVES: To estimate the symptomatic efficacy, residual effect and safety of diacerein in the treatment of knee osteoarthritis, using a meta-analysis of published randomized controlled trials (RCTs). METHODS: On December 1, 2021, we searched PubMed Medline, Web of Science, Cochrane Library databases, Wan Fang Medical Database, and National Knowledge Infrastructure. This study followed the inclusion criteria of the principle P(Population), I(Intervention), C(Comparison), O(Outcome), S (Study design) principle. All studies were randomized controlled trials of knee osteoarthritis. Cochrane bias risk assessment tool was used to assess the risk of bias. Meta-analyses were performed using a random-effects model. To explore sources of heterogeneity, subgroup analysis, sensitivity analysis, regression analysis and publication bias analysis were performed. Drug side effects with complete data were extracted from the included articles and then a combined analysis of these data was performed. RESULTS: Eight studies were eligible and were included in our analysis (N = 1277 participants). All studies were randomized controlled trials of knee osteoarthritis. There was no significant difference in reduction of joint pain and improvement of function between diacerein and the control group. However, subgroup analysis suggested, compared with the placebo group, diacerein treatment yielded an improved mean reduction in visual analogue scale score of-0.44% (95% confidence interval [CI]-0.79 to 0.09), an improved the western Ontario and McMaster universities (physical function) score of -0.44% (95% CI-0.72 to -0.12). Follow-up analysis after discontinuation showed that diacerein treatment had a significant residual effect (95% CI-0.81 to- 0.24). Data on drug side effects described in the included articles were extracted for statistical analysis. There was an increased risk of diarrhea with diacerein (Risk Ratio [RR] = 1.95 [1.03 to 2.47]) and withdrawal event from therapy (RR = 0.93 [0.75 to 1.15]). CONCLUSION: Diacerein might be considered an effective drug for the treatment of patients with KOA, showing short-term residual effectiveness. Although it is associated with an increased risk of diarrhea, the adverse event is mostly tolerable.
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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 | 0.017 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.050 | 0.008 |
| Bibliometrics | 0.002 | 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) | 0.001 | 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".