Practical management of mild-to-moderate ulcerative colitis: an international expert consensus
Bibliographic record
Abstract
INTRODUCTION: Although there are well-defined guidelines for the management of mild-to-moderate ulcerative colitis (UC), there are still unmet needs. For this reason, we conducted an international expert consensus to standardize the management of patients with mild-to-moderate UC and provide practical guidance to clinicians. AREAS COVERED: Based on Delphi methodology, 15 statements were approved after two rounds of voting, addressing several aspects of disease management from sequencing to treatment duration, from monitoring to optimization techniques and safety profile. EXPERT OPINION: Growing knowledge of mild-to-moderate UC has led to the development of new ambitious outcomes such as histological remission and disease clearance. Furthermore, noninvasive tools for patient monitoring such as fecal calprotectin and intestinal ultrasound are now available. Their implementation in clinical practice will allow clinicians to tightly monitor disease activity and promptly adapt treatment, avoiding complications and disease progression and targeting better disease control.
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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 | 0.020 | 0.020 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.005 | 0.003 |
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".