Risk of Gastrointestinal Events in Patients with Rheumatoid Arthritis After Withdrawal of Rofecoxib
Bibliographic record
Abstract
OBJECTIVE: To examine the incidence of gastrointestinal (GI) events in patients with rheumatoid arthritis (RA) after the removal of rofecoxib from the market. METHODS: Residents of British Columbia with a diagnosis of RA who were chronic users of cyclooxygenase 2 (COX-2) inhibitors or nonselective nonsteroidal antiinflammatory drugs (nsNSAID) as of September 30, 2004, were included. We studied the risk of GI events using incidence rates and adjusted HR from Cox proportional hazards regression using time-dependent covariates. RESULTS: The cohort comprised 4266 patients with a mean age of 60 years and over 72% women, of which 2034 (48%) were classified as COX-2 inhibitor users and 2232 (52%) as chronic nsNSAID users as of September 30, 2004. The 2 groups were well balanced on baseline covariates except for comorbid conditions. In the year following rofecoxib withdrawal, 174 patients (5.5%) experienced 1 or more GI events, defined as a GI-related physician visit or hospitalization. There was no statistically significant increase in the risk of a GI event between those classified as a COX-2 inhibitor or nsNSAID user at the time of withdrawal (HR 1.03, 95% CI 0.69-1.54). Considering the drug exposure at the time of the event, there was no increased risk of GI events associated with the use of either COX-2 inhibitors or nsNSAID, or with the use of oral corticosteroids, low-dose aspirin, or clopidogrel, after adjustment for potential confounders. CONCLUSION: In this cohort, withdrawal of rofecoxib did not result in a significant increase in GI events among patients with RA.
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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 | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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 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".