Prophylactic endotracheal intubation in patients with upper gastrointestinal bleeding undergoing endoscopy: A systematic review and meta-analysis
Bibliographic record
Abstract
Background: Patients with upper gastrointestinal bleeding (UGIB) often require urgent or emergent esophagogastroduodenoscopy (EGD) and are at risk of complications such as aspiration of gastric content or blood. The role of prophylactic endotracheal intubation (PEI) in the absence of usual respiratory status-related indications is not well established. Methods: We searched Medline, EMBASE, Cochrane Library's Central Register of Controlled Trials (CENTRAL) and SCOPUS from inception through July 2017 without date or language of publication restriction. We included studies that compared PEI with usual care (UC) in patients with acute UGIB, and reported any of the following outcomes: aspiration, pneumonia, mortality and length of stay. We excluded studies in which majority of included patients required intubation due to respiratory failure or decreased level of consciousness. We used the Grading of Recommendations Assessment, Development and Evaluation (GRADE) approach to assess the quality of evidence for each outcome. Results: We did not identify any randomized trials on this topic. We included 10 observational studies (n = 6068). We were not able to perform any adjusted analyses. PEI was associated with a significant increase in aspiration (OR 3.85, 95% CI, 1.46, 10.25; P = 0.01; I2 = 56%; low-quality evidence), pneumonia (OR 4.17, 95% CI, 1.82, 9.57; P = 0.0007; I2 =52%; low-quality evidence) and hospital length of stay (mean difference 0.86 days, 95% CI 0.13, 1.59; P = 0.02; I2 = 0; low-quality evidence), without clear effect on mortality (OR 1.92, 95% CI, 0.71, 5.23; P = 0.2; I2 = 95%; very low-quality evidence). Conclusions: Low- to very low-quality evidence from observational studies suggests that PEI in the setting of UGIB may be associated with higher rates of respiratory complications and, less likely, with increased mortality. Although the results are alarming, the lack of higher quality evidence calls for randomized trials to inform 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 | 0.010 | 0.024 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.015 | 0.031 |
| Bibliometrics | 0.005 | 0.006 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 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".