Proton pump inhibitors for gastrointestinal bleeding prophylaxis in critically ill patients: A systematic review protocol
Bibliographic record
Abstract
BACKGROUND: Proton pump inhibitors (PPIs) are the most commonly prescribed drugs for preventing upper gastrointestinal bleeding in critically ill patients. However, concerns have arisen about the possible harms of using PPIs, including potentially increased risk of pneumonia, Clostridioides difficile infection, and more seriously, an increased risk of death in the most severely ill patients. Triggered by the REVISE trial, which is a forthcoming large randomized trial comparing pantoprazole to placebo in invasively mechanically ventilated patients, we will conduct this systematic review to evaluate the efficacy and safety of PPIs versus no prophylaxis for critically ill patients. METHODS: We will systematically search randomized trials that compared gastrointestinal bleeding prophylaxis with PPIs versus placebo or no prophylaxis in adults in the intensive care unit (ICU). Pairs of reviewers will independently screen the literature, and for those eligible trials, extract data and assess risk of bias. We will perform meta-analyses using a random-effects model, and calculate relative risks for dichotomous outcomes and mean differences for continuous outcomes, and the associated 95% confidence intervals. We will conduct subgroup analysis to explore whether the impact of PPIs on mortality differs in more and less severely ill patients. We will assess certainty of evidence using the GRADE approach. DISCUSSION: This systematic review will provide the most up-to-date evidence regarding the merits and limitations of stress ulcer prophylaxis with PPIs in critically ill patients in contemporary practice.
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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 | 0.042 | 0.060 |
| Meta-epidemiology (narrow) | 0.006 | 0.005 |
| Meta-epidemiology (broad) | 0.018 | 0.014 |
| Bibliometrics | 0.011 | 0.010 |
| Science and technology studies | 0.003 | 0.004 |
| Scholarly communication | 0.007 | 0.008 |
| Open science | 0.005 | 0.005 |
| Research integrity | 0.006 | 0.005 |
| Insufficient payload (model declined to judge) | 0.061 | 0.007 |
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".