Acute severe ulcerative colitis in children: A systematic review
Bibliographic record
Abstract
Pediatric ulcerative colitis (UC) has a more severe phenotype, reflected by more extensive disease and a higher rate of acute severe exacerbations. The pooled steroid-failure rate among 291 children from five studies is 34% (95% confidence interval [CI]: 27%-41%). It is suggested that corticosteroids should be dosed between 1-1.5 mg/kg up to 40-60 mg daily. Food restriction has a limited role in severe UC and should be generally discouraged in children who do not have a surgical abdomen. Appraisal of radiologic findings in children must recognize the variation in colonic width with age and size. Data suggest that the Pediatric UC Activity Index (PUCAI), determined at day 3, should be used to screen for patients likely to fail corticosteroids (>45 points), and at day 5 to dictate the introduction of second-line therapy (>65-70 points). Cyclosporine is successful in children with severe colitis but its use should be restricted to 3-4 months while bridging to thiopurine treatment (pooled short-term success rate 81% [95% CI: 76%-86%]; n = 94 from eight studies). Infliximab may be as effective as cyclosporine (75% pooled short-term response (95% CI: 67%-83%); n = 126, six studies) with a pooled 1-year response of 64% (95% CI: 56%-72%). In toxic megacolon, in patients refractory to one salvage medical therapy, and in chronic severe disease, colectomy may be preferred. Decision-making regarding colectomy in children must consider the toxicity of medication consumed over many future years, the quality of life and self-image associated with either choice, as well as both functional outcomes and, in females, fertility following pouch procedures.
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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 | 0.003 | 0.016 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.007 | 0.006 |
| Bibliometrics | 0.008 | 0.011 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".