Left‐sided colitis and extensive colitis have similar colectomy rates after index episode of acute severe colitis: A long‐term follow‐up study
Bibliographic record
Abstract
Background and Aim The extent of disease of ulcerative colitis (UC) has been found to be a predictor of acute severe colitis (ASC), but it is unclear whether the extent of disease at the index episode of ASC is a predictor of long‐term outcome. Methods Hospitalized patients satisfying Truelove and Witts’ criteria under follow‐up at a single center from January 2003 to December 2016 were included. The extent of disease at index ASC was classified according to the Montreal classification as left‐sided or extensive colitis. Extent was used to predict the long‐term risk of colectomy or steroid dependence following an index episode of ASC. Results Of 2076 patients with ulcerative colitis, 241 (12%) had an index episode of ASC. In total, 34 (14%) patients underwent a colectomy at index admission and 53 (26%) over a median follow‐up of 48(1–172) months. Left‐sided colitis and extensive colitis did not differ in the rate of colectomy at index admission (12% vs 15%, P = 0.4) and colectomy in follow‐up (31% vs 23%, P = 0.17). Readmission due to ASC was also similar between the two groups (28% vs 32%, P = 0.6). Conclusion Extent of disease at index ASC does not predict colectomy at admission and over the long term.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.002 |
| 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".