The efficacy of duloxetine, non-steroidal anti-inflammatory drugs, and opioids in osteoarthritis: a systematic literature review and meta-analysis
Bibliographic record
Abstract
BACKGROUND: This meta-analysis assessed the efficacy of duloxetine versus other oral treatments used after failure of acetaminophen for management of patients with osteoarthritis. METHODS: A systematic literature review of English language articles was performed in PUBMED, EMBASE, MedLine In-Process, Cochrane Library, and ClinicalTrials.gov between January 1985 and March 2013. Randomized controlled trials of duloxetine and all oral non-steroidal anti-inflammatory drugs and opioids were included if treatment was ≥12 weeks and the Western Ontario and McMaster Universities Index (WOMAC) total score was available. Studies were assessed for quality using the assessment tool from the National Institute for Health and Clinical Excellence guidelines for single technology appraisal submissions.WOMAC baseline and change from baseline total scores were extracted and standardized. A frequentist meta-analysis, meta-regression, and indirect comparison were performed using the DerSimonian-Laird and Bucher methods. Bayesian analyses with and without adjustment for study-level covariates were performed using noninformative priors. RESULTS: Thirty-two publications reported 34 trials (2 publications each reported 2 trials) that met inclusion criteria. The analyses found all treatments except oxycodone (frequentist) and hydromorphone (frequentist and Bayesian) to be more effective than placebo. Indirect comparisons to duloxetine found no significant differences for most of the compounds. Some analyses showed evidence of a difference with duloxetine for etoricoxib (better), tramadol and oxycodone (worse), but without consistent results between analyses. Forest plots revealed positive trends in overall efficacy improvement with baseline scores. Adjusting for baseline, the probability duloxetine is superior to other treatments ranges between 15% to 100%.Limitations of this study include the low number of studies included in the analyses, the inclusion of only English language publications, and possible ecological fallacy associated with patient level characteristics. CONCLUSIONS: This analysis suggests no difference between duloxetine and other post-first line oral treatments for osteoarthritis (OA) in total WOMAC score after approximately 12 weeks of treatment. Significant results for 3 compounds (1 better and 2 worse) were not consistent across performed analyses.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.023 | 0.042 |
| Meta-epidemiology (narrow) | 0.004 | 0.002 |
| Meta-epidemiology (broad) | 0.025 | 0.054 |
| Bibliometrics | 0.013 | 0.012 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".