H2 Receptor Antagonists versus Proton Pump Inhibitors in Patients on Dual Antiplatelet Therapy for Coronary Artery Disease: A Systematic Review
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
OBJECTIVES: Mitigating the gastrointestinal (GI) bleeding risks of dual antiplatelet therapy (DAPT) is a common clinical concern. While proton pump inhibitors (PPIs) remain the most effective therapy, their adverse events warrant considering alternatives, including Histamine 2 receptor antagonists (H2RAs). METHODS: We searched for randomized controlled trials in MEDLINE, EMBASE, PubMed, and Cochrane Central Register of Controlled Trials, published from 1980 to 2016. After screening, 10 trials were eligible. We compared PPIs to H2RAs in patients on DAPT in terms of 2 clinical and one laboratory outcomes; GI complications, major adverse cardiovascular events (MACE) and high on-treatment platelet reactivity (HTPR). Clinical and statistical inter-study heterogeneity was low for all 3 outcomes (I2 = 0%, p > 0.05 for all). RESULTS: Fixed effects meta-analysis suggested that PPIs were superior to H2RAs in preventing GI complications (OR 0.28, 95% CI 0.17-0.48) but with higher risk of HTPR (OR 1.28, 95% CI 1.030-1.60) though without a higher incidence of MACE (OR 0.99, 95% CI 0.55-1.77). CONCLUSIONS: PPIs are superior to H2RAs for gastroprotection in patients on DAPT. However, PPIs are associated with HTPR, with no significant difference demonstrated in MACE. Based on currently available data, the use of PPIs may be warranted in selected patients on DAPT deemed at risk for GI complications.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.007 | 0.004 |
| 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 | 0.001 | 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