Adherence to Guidelines: A National Audit of the Management of Acute upper Gastrointestinal Bleeding. The REASON Registry
Bibliographic record
Abstract
OBJECTIVES: To assess process of care in nonvariceal upper gastrointestinal bleeding (NVUGIB) using a national cohort, and to identify predictors of adherence to 'best practice' standards. METHODS: Consecutive charts of patients hospitalized for acute upper gastrointestinal bleeding across 21 Canadian hospitals were reviewed. Data regarding initial presentation, endoscopic management and outcomes were collected. Results were compared with 'best practice' using established guidelines on NVUGIB. Adherence was quantified and independent predictors were evaluated using multivariable analysis. RESULTS: Overall, 2020 patients (89.4% NVUGIB, variceal in 10.6%) were included (mean [± SD] age 66.3±16.4 years; 38.4% female). Endoscopy was performed in 1612 patients: 1533 with NVUGIB had endoscopic lesions (63.1% ulcers; high-risk stigmata in 47.8%). Early endoscopy was performed in 65.6% and an assistant was present in 83.5%. Only 64.5% of patients with high-risk stigmata received endoscopic hemostasis; 9.8% of patients exhibiting low-risk stigmata also did. Intravenous proton pump inhibitor was administered after endoscopic hemostasis in 95.7%. Rebleeding and mortality rates were 10.5% and 9.4%, respectively. Multivariable analysis revealed that low American Society of Anesthesiologists score patients had fewer assistants present during endoscopy (OR 0.63 [95% CI 0.48 to 0.83), a hemoglobin level <70 g⁄L predicted inappropriate high-dose intravenous proton pump inhibitor use in patients with low-risk stigmata, and endoscopies performed during regular hours were associated with longer delays from presentation (OR 0.33 [95% CI 0.24 to 0.47]). CONCLUSION: There was variability between the process of care and 'best practice' in NVUGIB. Certain patient and situational characteristics may influence guideline adherence. Dissemination initiatives must identify and focus on such considerations to improve quality of care.
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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 | 0.022 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.007 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| 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 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".