A66 PROTON PUMP INHIBITORS AND THE RISK OF INFLAMMATORY BOWEL DISEASE: A REAL WORLD POPULATION-BASED COHORT STUDY
Bibliographic record
Abstract
Abstract Background Proton pump inhibitors (PPIs) and histamine-2 receptor antagonists (H2RAs) are acid suppressant drugs indicated in highly prevalent conditions such as gastroesophageal reflux disease and peptic ulcer disease. A recent observational study reported an increased risk of inflammatory bowel disease (IBD) with the use of PPIs. However, this association may have been driven by certain methodological shortcomings, such as failure to properly account for protopathic bias, a conclusion-altering bias. Purpose To determine whether the use of PPIs compared with the use of H2RAs is associated with an increased risk of IBD. Method Using the longitudinal primary care records from the United Kingdom Clinical Practice Research Datalink database, we identified 1,498,416 initiators of PPIs and 322,474 initiators of H2RAs from January 1, 1990, through December 31, 2018, with follow-up until December 31, 2019. Standardized morbidity ratio weighted Cox proportional hazards models were used to estimate marginal hazard ratios (HRs) and 95% confidence intervals (CIs). Patients were analyzed according to the timing of the IBD events after treatment initiation (early versus late). In the early-event analysis, IBD events were assessed within the first two years of treatment initiation, an analysis subject to potential protopathic bias. In the late-event analysis, all exposures were lagged by two years to account for latency and minimize protopathic bias. Result(s) In the early-event analysis, the use of PPIs was associated with an increased risk of IBD within the first two years of treatment initiation, compared with H2RAs (HR: 1.39, 95% CI: 1.14-1.69). In contrast, the use of PPIs was not associated with an increased risk of IBD in the late-event analysis (HR: 1.05, 95% CI: 0.90 to 1.22). The results remained consistent in several sensitivity analyses. Image Conclusion(s) Compared with H2RAs, PPIs were not associated with an increased risk of IBD, after accounting for protopathic bias. Please acknowledge all funding agencies by checking the applicable boxes below CIHR Disclosure of Interest R. Yanofsky: None Declared, D. Abrahami Employee of: pfizer, R. Pradhan: None Declared, H. Yin: None Declared, E. McDonald: None Declared, A. Bitton Consultant of: Member of Advisory Boards for Abbie, Pfizer, Takeda, Jansen, and Merck, Speakers bureau of: Has received speaker fees for Abbie, Jansen, Takeda, and Pfizer, L. Azoulay Consultant of: Has received consults fees from Jansen, Pfizer, and Roche, Speakers bureau of: Has received speaker fees from Jansen, Pfizer, and Roche
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".