The Efficacy and Safety of Treatments for Acute Gout: Results from a Series of Systematic Literature Reviews Including Cochrane Reviews on Intraarticular Glucocorticoids, Colchicine, Nonsteroidal Antiinflammatory Drugs, and Interleukin-1 Inhibitors
Bibliographic record
Abstract
OBJECTIVE: To determine the efficacy and safety of glucocorticoids (GC), colchicine, nonsteroidal antiinflammatory drugs (NSAID), interleukin-1 (IL-1) inhibitors, and paracetamol to treat acute gout. METHODS: We searched MEDLINE, EMBASE, and Cochrane Central Register of Controlled Trials to September 2011. Randomized controlled trials (RCT) or quasi-RCT in adults with acute gout that compared GC, colchicine, NSAID, IL-1 inhibitors, and paracetamol to no treatment, placebo, another intervention, or combination therapy were included. Two authors independently extracted data and assessed risk of bias. Primary endpoints were pain and adverse events. Data were pooled where appropriate. RESULTS: Twenty-six trials evaluating GC (N = 5), NSAID (N = 21), colchicine (N = 2), and canakinumab (N = 1) were included. No RCT assessed paracetamol or intraarticular (IA) GC. No RCT compared systemic GC with placebo. Moderate quality evidence (3 trials) concluded that systemic GC were as effective as NSAID but safer. Low quality evidence (1 trial) showed that both high- and low-dose colchicine were more effective than placebo, and low-dose colchicine was no different to placebo with respect to safety but safer than high-dose colchicine. Low quality evidence (1 trial) showed no difference between NSAID and placebo with regard to pain or inflammation. No NSAID was superior to another. Moderate quality evidence (1 trial) found that 150 mg canakinumab was more effective than a single dose of intramuscular GC (40 mg triamcinolone) and equally safe. CONCLUSION: GC, NSAID, low-dose colchicine, and canakinumab all effectively treat acute gout. There was insufficient evidence to rank them. Systemic GC appeared safer than NSAID and lower-dose colchicine was safer than higher-dose colchicine.
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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 | 0.004 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.009 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".