Timing of Rebleeding in High-Risk Peptic Ulcer Bleeding after Successful Hemostasis: A Systematic Review
Bibliographic record
Abstract
BACKGROUND: Peptic ulcer rebleeding (PUR) usually occurs within three days following endoscopic hemostasis. However, recent data have increasingly suggested delayed rebleeding. OBJECTIVE: To better characterize the timing of PUR (Forrest Ia to IIb) following initially successful endoscopic hemostasis. METHODS: An exhaustive literature search (1989 to 2013), with cross-referencing, was performed to identify pertinent randomized controlled trial (RCT) arms. Patients receiving high-dose proton pump inhibitor (PPI) infusion following successful modern-day endoscopic hemostasis were included. A sensitivity analysis included any patients receiving PPI doses >40 mg daily. The main outcome measure was 30-day rebleeding, while weighted mean averages at t = three, seven, 14 and 28 to 30 days are also reported. RESULTS: Of 756 citations, six RCTs were included (561 patients; 58.5% to 89.5% male; 55.3 to 67.5 years of age). Among patients receiving high-dose PPI (five RCTs [393 patients]), 11.5% (95% CI 8.4% to 14.7%) experienced rebleeding, 55.6% (95% CI 41.1% to 70.1%) rebled within three days, 20% (95% CI 8.3% to 31.7%) between four and seven days, 17.8% (95% CI 6.6% to 28.9%) at eight to 14 days, and 6.7% (95% CI 0% to 14%) at 15 to 28 to 30 days. Using the relaxed lower PPI dosing threshold, similar respective rates were 14.4% (95% CI 11.5% to 17.3%) overall, with interval rates of 39.5% (95% CI 28.9% to 50.15%), 34.6% (95% CI 24.2% to 44.9%), 19.7% (95% CI 11% to 28.4%) and 6.2% (95% CI 0.95% to 11.5%). Qualitative review of patient characteristics, limited by small sample size, possible bias and study heterogeneity, suggested increased patient comorbidity and postendoscopic use of lower PPI dosing may predict delayed rebleeding. CONCLUSION: In patients with high-risk PUR undergoing successful endoscopic hemostasis, most rebled within three days, with many experiencing later rebleeding. Additional research is needed to better predict such an outcome.
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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 | 0.006 | 0.036 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.007 | 0.008 |
| Bibliometrics | 0.007 | 0.009 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".