NSAID switching and short‐term gastrointestinal outcome rates after the withdrawal of rofecoxib
Bibliographic record
Abstract
OBJECTIVE: The consequences of the rofecoxib withdrawal on upper GI toxicity are largely unknown. We sought to estimate the effect of switching from selective Cox-2 inhibitors to non-selective non-steroidal anti-inflammatory drugs (nsNSAIDs) on the incidence of upper GI adverse events following the withdrawal of rofecoxib on 30 September 2004. METHODS: We identified a cohort of 33 045 patients with arthritis and chronic use of any selective Cox-2 inhibitor during the 6 months before the withdrawal of rofecoxib in claims data from several US health plans. We calculated monthly rates of hospitalization for upper GI adverse events or upper GI endoscopy for the 6 months before and 3 months after the switching and compared the time trends in outcomes. RESULTS: In the subgroup of 15 916 patients using rofecoxib immediately before its withdrawal, 2626 (17%) switched to nsNSAIDs without co-prescribing of a gastroprotective drug, 146 (1%) with a gastroprotective drug, and 5246 (33%) switched to either celecoxib or valdecoxib. Among those switching to nsNSAID without gastroprotection, time trends of upper GI hospitalization rates and endoscopies did not significantly increase compared with those switching to celecoxib or valdecoxib (+0.3 per 1000 per month; 95%CI -3.0 to 3.5). The visit rate for peptic ulcer disease (PUD) increased more in the group switching to nsNSAIDs without gastroprotection (+5.2 visits per 1000 per month; 1.2-9.2) compared with the group switching to another coxib. CONCLUSIONS: Short-term follow-up data suggest that the sudden shift from rofecoxib to nsNSAIDs without gastroprotection did not increase the rate of hospitalization for GI complications but increased outpatient visits for PUD.
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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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.000 |
| 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".