The Efficacy and Safety of Opioids in Inflammatory Arthritis: A Cochrane Systematic Review
Bibliographic record
Abstract
OBJECTIVE: To determine the efficacy and safety of opioid analgesics in inflammatory arthritis (IA). METHODS: We searched Medline, Embase, and Central to May 2010. Randomized controlled trials in adults with IA that compared opioids (administered via any route) to another intervention or placebo were included. Studies in the immediate postoperative setting were excluded. Two authors independently extracted data and assessed risk of bias. Primary endpoints were pain and adverse events (AE). Categorical data were pooled using RevMan5 and reported as relative risks (RR) or odds ratios (OR) with 95% confidence intervals (95% CI). RESULTS: Eleven studies were included, all in patients with RA. The risk of bias of all studies was high. No study was longer than 6 weeks in duration and 4 studies used single doses of study drugs. Seven studies were between 1 and 6 weeks in duration and assessed 6 different oral opioids. Only 1 study investigated a strong opioid. Data could be pooled from 4 studies comparing weak opioids to placebo: there was no difference in withdrawals due to inadequate analgesia (RR 0.82, 95% CI 0.34, 2.01), but patient-reported global impression of change was superior with opioids (RR 1.44, 95% CI 1.03, 2.03). Opioids were more likely than placebo to cause AE (OR 3.90, 95% CI 2.31, 6.56). There was no difference between opioids and placebo in net efficacy after adjustment for AE. CONCLUSION: Based on 11 heterogeneous studies of short duration and high risk of bias, there is weak evidence that opioids are effective analgesics in RA. AE are common and may offset the benefits. The relative risks and benefits of opioids in IA beyond 6 weeks are unknown.
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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 | 0.005 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.005 | 0.000 |
| 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".