Complete histologic normalisation is associated with reduced risk of relapse among patients with ulcerative colitis in complete endoscopic remission
Bibliographic record
Abstract
BACKGROUND: Clinical and endoscopic remission are treatment targets in ulcerative colitis (UC). The value of histologic healing in altering clinical outcomes among patients with complete endoscopic healing is not well established. AIM: To quantify the association between histologic activity and clinical relapse among patients with UC who were in complete endoscopic remission. METHODS: This study included patients with UC from a prospective registry who were in complete endoscopic remission. Histologic activity was quantified by a senior gastrointestinal pathologist. Histologic activity was defined as lack of normalisation (Geboes score > 0) as well as histologically active disease (Geboes score ≥2.1 and ≥3.1). The primary outcome was clinical relapse within 2 years. Multivariable regression adjusting for potential confounders examined the independent predictive value of histologic changes. RESULTS: The study included 83 patients (51% women) (median age 44 years; median disease duration 11 years). Forty-one (49%) had complete histologic normalisation. Within two years, 26 (31%) experienced clinical relapse. Patients with complete histologic normalisation were less likely to experience relapse (5/41, 12%) compared to those without normalisation (21/42, 50%, P < 0.001) (multivariable OR 7.22, 95% confidence interval (CI) 2.48-24.70) by the Geboes score. The individual components of the Geboes score predictive of relapse were architectural changes (P = 0.03) and increased chronic inflammatory infiltrate (P < 0.001). CONCLUSIONS: Complete histologic healing using the Geboes score was associated with reduced rates of clinical relapse among patients with UC in endoscopic remission.
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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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".