Use of Proton Pump Inhibitors in the Management of Gastroesophageal Varices
Bibliographic record
Abstract
OBJECTIVE: To review the efficacy and safety of proton pump inhibitors (PPIs) in gastroesophageal varices (GEVs). DATA SOURCES: MEDLINE (1946 to September 2014), EMBASE (1974 to September 2014), International Pharmaceutical Abstracts (1970 to September 2014), Cochrane Central Register of Controlled Trials (1991 to September 2014), Google, and Google Scholar were searched using the following terms: esophageal varices, gastroesophageal varices, variceal hemorrhage, variceal bleeding, banding ligation, endoscopic variceal ligation, sclerotherapy, proton pump inhibitor, PPI, omeprazole, pantoprazole, lansoprazole, dexlansoprazole, rabeprazole, and esomeprazole. STUDY SELECTION AND DATA EXTRACTION: Published and unpublished studies evaluating the clinical outcomes of PPI use for GEVs were included regardless of study design. Non-English and nonhuman studies were excluded. DATA SYNTHESIS: Of 1156 studies, 20 were included after assessment. There was wide methodological heterogeneity and moderately high risk of bias among studies. Level I evidence suggests that PPIs reduce esophageal ulcer size post-elective esophageal ligation; the clinical importance of such findings is not known given the self-limiting nature of esophageal ulcer. Available evidence does not support a role of PPIs for long-term prophylaxis of portal hypertension-related bleeding and high-dose infusion for acute management of GEV hemorrhage. Retrospective data demonstrate a potential increase in the incidence of spontaneous bacterial peritonitis in patients with cirrhosis receiving PPIs. CONCLUSIONS: The best available evidence supports the use of short-course (10 days) PPI post-endoscopic variceal ligation to reduce ulcer size if ulcer healing is a concern. Practices such as high-dose infusion and prolonged use should be discouraged until evidence of benefit becomes available.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| 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 | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".