Are Proton Pump Inhibitors More Effective Than Histamine-2-Receptor Antagonists for Stress Ulcer Prophylaxis in Critically Ill Patients? A Systematic Review and Meta-Analysis of Cohort Studies
Bibliographic record
Abstract
Background: Histamine-2-receptor antagonists (H 2 RAs) have been largely replaced by proton pump inhibitors (PPIs) for stress ulcer prophylaxis (SUP) despite the inconclusive evidence concerning comparative effectiveness. Objective: To compare the effectiveness of PPIs and H 2 RAs on SUP in real-world setting. Methods: PubMed, Embase, and the Cochrane Library were searched from inception to September 19, 2021. We included cohort studies comparing PPIs with H 2 RAs in critically ill adult patients and explicitly reporting the outcome of gastrointestinal (GI) bleeding or mortality. Newcastle-Ottawa Scale was used to assess potential risk of bias. We conducted a random-effects meta-analysis and only the studies with adjusted effect estimates were pooled. The Grading of Recommendations Assessment, Development, and Evaluation system was used to assess the overall quality of the evidence. Results: Thirteen cohort studies (N = 145 149) were eligible and 11 of them available for full texts were of low to moderate risk of bias. Meta-analysis of adjusted effect estimates indicated that PPIs were associated with a significantly higher risk of GI bleeding, compared with H 2 RAs (8 studies, odds ratio [OR] = 1.98, 95% confidence interval [CI] = 1.30-3.01, low certainty). Post hoc pooling analysis also suggested that PPIs were associated with a slightly higher risk of mortality in comparison with H 2 RAs (7 studies, OR = 1.27, 95% CI = 1.13-1.42, low certainty). Conclusion and Relevance: The systematic review of cohort studies showed that PPIs were associated with higher risks of GI bleeding and mortality, although the certainty of evidence was low. Overall, we suggest not excluding H 2 RAs for SUP, while further studies are essential for elucidating the risk stratification, optimal regimen, and specific duration.
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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 | 0.024 | 0.052 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.024 | 0.052 |
| Bibliometrics | 0.009 | 0.008 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".