Risk of Upper Gastrointestinal Hemorrhage in Warfarin Users Treated With Nonselective NSAIDs or COX-2 Inhibitors
Why this work is in the frame
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Bibliographic record
Abstract
BACKGROUND: Little is known about the risk of upper gastrointestinal (GI) hemorrhage during the concomitant use of warfarin and selective cyclooxygenase (COX)-2 inhibitors. We examined the association between the concomitant use of warfarin and nonselective nonsteroidal anti-inflammatory drugs (NSAIDs) or selective COX-2 inhibitors in older adults hospitalized for upper GI hemorrhage. METHODS: This nested case-control analysis of multiple linked health care databases conducted over 1 year identified a cohort of patients in Ontario, Canada, who were older than 66 years and continuously prescribed warfarin. Case patients were those admitted to the hospital with upper GI hemorrhage while taking warfarin. We compared their prescription records prior to hospitalization with those of age- and sex-matched controls who were also receiving warfarin (the control-case ratio was 4:1). Odds ratios (ORs) for the risk of hospitalization for upper GI hemorrhage while concomitantly using warfarin and celecoxib, rofecoxib, or nonselective NSAIDs were determined. RESULTS: During the study period, we identified 98 821 elderly patients continuously receiving warfarin. Of those, 361 (0.3%) were admitted to the hospital with upper GI hemorrhage. After adjusting for other potential confounders, case patients were significantly more likely to be also taking nonselective NSAIDs (OR, 1.9; 95% confidence interval [CI], 1.4-3.7), celecoxib (OR, 1.7; 95% CI, 1.2-3.6), or rofecoxib (OR, 2.4; 95% CI, 1.7-3.6) prior to hospitalization relative to controls. CONCLUSIONS: Patients taking warfarin concomitantly with selective COX-2 inhibitors have an increased risk of hospitalization for upper GI hemorrhage. The risk appears similar to that of patients simultaneously taking warfarin and nonselective NSAIDs.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| 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 it