Efficacy of Lumiracoxib in Osteoarthritis: A Review of Nine Studies
Bibliographic record
Abstract
Lumiracoxib is a cyclooxygenase-2 selective inhibitor in development for the treatment of osteoarthritis (OA), rheumatoid arthritis and acute pain. We reviewed nine clinical studies of 1-52 weeks' duration demonstrating the efficacy of lumiracoxib in OA. Male and female patients aged > or = 18 years with primary OA of the hand, hip or knee received lumiracoxib, placebo or active comparators (diclofenac, celecoxib or rofecoxib). Lumiracoxib provided consistent reductions in OA pain intensity and improvements in the patient's global assessment of disease activity and functional status (assessed using the Western Ontario and McMaster Universities Osteoarthritis Index questionnaire or the Australian/Canadian OA Hand Index). These results were superior to placebo and similar to the active comparators tested. In addition, lumiracoxib was consistently superior to placebo and generally similar to active comparators in terms of the new Outcome Measures in Clinical Trials and Osteoarthritis Research Society International criteria. These were used to provide a single measure of response to treatment, taking into account pain, the patient's global assessment of disease activity and functional status.
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 | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.002 |
| Bibliometrics | 0.006 | 0.008 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".