Management of paediatric ulcerative colitis, part 2: Acute severe colitis—An updated evidence‐based consensus guideline from the European Society of Paediatric Gastroenterology, Hepatology and Nutrition and the European Crohn's and Colitis Organization
Bibliographic record
Abstract
Acute severe colitis (ASC) is a relatively frequent manifestation in children with ulcerative colitis and one of the few emergencies in paediatric gastroenterology. A standardized proactive approach based on tight monitoring and timely medical and surgical interventions may improve patients' outcomes. We aimed to update the previous ASC guidelines using detailed recommendations and practice points, based on a systematic review of the literature and consensus of experts. These guidelines update is a joint effort of the European Society of Paediatric Gastroenterology, Hepatology and Nutrition and the European Crohn's and Colitis Organization. A systematic search was performed in Pubmed Ovid Medline, Embase and Cochrane databases using 13 predefined PICO (patient, intervention, comparison, outcomes) based questions and 30 non-PICO based questions. Grading methodology was based on the Oxford Centre for Evidence-Based Medicine-Levels of evidence. The questions were addressed by working subgroups following an iterative consensus voting process, including three online voting meetings and one face-to-face meeting. A total of 36 recommendations and 72 practice points were endorsed with a consensus rate of at least 88% for all statements, regarding initial evaluation, monitoring, medical and surgical treatment of ASC in children. Several topics have been revised since the previous 2018 guidelines and differ from corresponding published adult guidelines. These guidelines present a comprehensive overview of the management of ASC in children, offering practical recommendations and practice points aiming to standardize clinical and surgical treatment and improve outcomes of this severe scenario.
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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 | 0.009 | 0.017 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.005 |
| Bibliometrics | 0.006 | 0.005 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".