Risk‐Benefit Profile of Gastric vs Transpyloric Feeding in Mechanically Ventilated Patients
Bibliographic record
Abstract
BACKGROUND: The risk-benefit profile of transpyloric vs gastric feeding in mechanically ventilated (MV) patients has not been definitively established. OBJECTIVE: To evaluate the risks and benefits of transpyloric feeding compared with gastric feeding in mechanically ventilated patients. DESIGN: We systematically searched MEDLINE, Google Scholar, EMBASE, and the Cochrane Central Register of Controlled Trials databases for eligible articles through June 21, 2013. Randomized controlled trials (RCTs) that reported a comparison between gastric and transpyloric feeding in MV patients were selected. Two reviewers independently extracted data on populations, methods, outcomes, and risk of bias. Ventilator-associated pneumonia (VAP) was considered the primary outcome. RESULTS: A total of 8 RCTs, including 835 MV patients, were identified and analyzed. Our pooled findings indicated that there was a significant reduction in VAP through transpyloric feeding compared with gastric feeding (relative risk [RR], 0.67; 95% confidence interval [CI], 0.53 to 0.85; P = .001) but not in mortality (RR, 1.08; 95% CI, 0.86 to 1.36; P = .49), length of mechanical ventilation (mean difference [MD], -0.16; 95% CI, -0.75 to 0.43; P = .59), length of stay in the intensive care unit (MD, -0.91; 95% CI, -2.75 to 0.94; P = .34), incidence of diarrhea (RR, 0.9; 95% CI, 0.66 to 1.23; P = .50), and incidence of vomiting (RR, 0.82; 95% CI, 0.25 to 2.72; P = .75). CONCLUSIONS: Transpyloric feeding in MV adults was associated with significantly less incidence of VAP compared with gastric feeding. No differences were observed in other outcomes, suggesting that the difference observed in the incidence of VAP may be spurious and needs confirmation.
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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 | 0.013 | 0.058 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.007 | 0.008 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| 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".