Risk factors predictive of severe diverticular hemorrhage
Bibliographic record
Abstract
BACKGROUND: Diverticular disease is a common cause for lower gastrointestinal bleeding. Although the hemorrhage often resolves spontaneously, some patients will require massive transfusions and emergency surgery. In this study we report risk factors predictive of severe diverticular bleeds. METHODS: We completed a retrospective analysis of 99 patients, admitted with lower gastrointestinal bleeding and colonoscopic evidence of diverticulosis and no other cause of the hemorrhage between January 1995 and December 2005. A database was generated and univariate and multivariate analyses were carried out. RESULTS: Of the 99 patients, 23 patients were classified as having a severe bleed defined as having a systolic blood pressure below 90 mm Hg, requirement for more than 6 units of transfusion, or emergent surgery. Multiple logistic regression showed that the initial hemoglobin (p = 0.001), INR ≥ 1.5 (p = 0.003), initial diastolic blood pressure (p = 0.024), initial heart rate (p = 0.047), and blood pressure medications (p = 0.049) predicted severe diverticular hemorrhage. CONCLUSIONS: The identified predictor variables are all quantifiable at the time of initial presentation, and these may help identify severe cases of diverticular bleeding requiring urgent management.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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".