An update on the management of non-variceal upper gastrointestinal bleeding
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Upper gastrointestinal bleeding (UGIB) continues to be a common gastrointestinal emergency that carries significant morbidity and mortality. The epidemiology of UGIB has been changing over the last few decades with an overall decrease in peptic ulcer disease and increase in the prevalence of other etiologies including vascular lesions and malignancy. Appropriate risk assessment and patient stratification are crucial to ensuring that optimal care is delivered to patients and some risk assessment tools have shown excellent ability to define a low-risk group who can be managed as outpatients safely. Regardless of the etiology of UGIB, resuscitative interventions by primary care providers remain the most important initial measures to improve the outcome for patients including hemodynamic stabilization, an appropriate blood transfusion strategy, with or without acid-lowering agents, while also providing subsequent urgent endoscopic assessment and intervention. In addition, with increasing use of antithrombotic agents in clinical practice and its associated risk of bleeding, the management of such agents in the acute setting has become a real challenge to all physicians. In this article, we provide an up-to-date, evidence-based, practical review of recent changes and advances in UGIB with a focus on non-variceal etiologies.
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.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it