Role of Intravenous Omeprazole in Patients with High-Risk Peptic Ulcer Bleeding After Successful Endoscopic Epinephrine Injection: A Prospective Randomized Comparative Trial
Bibliographic record
Abstract
BACKGROUND: Epinephrine injection is the most common endoscopic therapy for peptic ulcer bleeding. Controversy exists concerning the optimal dose of proton pump inhibitors (PPI) for patients with bleeding peptic ulcers after successful endoscopic therapy. The objective of this study was to determine the optimal dose of PPI after successful endoscopic epinephrine injection in patients with bleeding peptic ulcers. METHODS: A total of 200 peptic ulcer patients with active bleeding or nonbleeding visible vessels (NBVV) who had obtained initial hemostasis with endoscopic injection of epinephrine were randomized to receive omeprazole 40 mg infusion every 6 h, omeprazole 40 mg infusion every 12 h or cimetidine (CIM) 400 mg infusion every 12 h. Outcomes were checked at 14 days after enrollment. RESULTS: Rebleeding episodes were fewer in the group with omeprazole 40 mg infusion every 6 h (6/67, 9%) as compared with that of the CIM infusion group (22/67, 32.8%, p < 0.01). The volume of blood transfusion was less in the group with omeprazole 40 mg every 6 h than in those groups with omepraole 40 mg infusion every 12 h (p= 0.001) and CIM 400 mg infusion every 12 h (p < 0.001). The hospital stay, number of patients requiring urgent operation, and death rate were not statistically different among the three groups. CONCLUSION: A combination of endoscopic epinephrine injection and a large dose of omeprazole infusion is superior to combined endoscopic epinephrine injection with CIM infusion for preventing recurrent bleeding from peptic ulcers with active bleeding or NBVV.
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 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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.003 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".