Defining normal bowel wall thickness in children with inflammatory bowel disease in deep remission: A multicenter study on behalf of the pediatric committee of the International Bowel Ultrasound Group (IBUS)
Bibliographic record
Abstract
OBJECTIVES: Intestinal ultrasound (IUS) is a noninvasive tool for detecting and monitoring disease activity in children with inflammatory bowel disease (IBD). Remission values for bowel wall thickness (BWT) are extrapolated from adult data. We aimed to define normal BWT in children with IBD in sustained deep remission. METHODS: Multicenter, retrospective pediatric IUS database including children with IBD, without a history of surgery or complications, who underwent IUS after achieving sustained deep remission, defined as the absence of ulcerations on ileocolonoscopy and/or transmural healing on magnetic resonance enterography and steroid-free clinical remission for ≥6 months. Univariate and multivariable analyses were performed using mixed-effect modeling. RESULTS: Ninety-eight children (40 [41%] female; 64 [5%] Crohn's disease [CD]: 29 (30%) ulcerative colitis [UC]: 5 (5%) IBD-unspecified), median age 15.2 [13.8-16.8] years), and 484 bowel segments were included. Median BWT was 1.4 (1.1-1.6) mm, with no difference in BWT between bowel segments (p = 0.28). In multivariable analysis, a positive association remained between BWT and weight (univariate β = 0.004 [95% confidence interval, CI = 0.001-0.007], p = 0.016, multivariate β = 0.006 [95% CI = 0.001-0.011], p = 0.041). A negative association remained between BWT and disease duration (unadjusted β = -0.024 [95% CI = -0.047 to -0.001] p = 0.046, adjusted β = -0.028 [95% CI = -0.052 to -0.003], p = 0.039). CONCLUSION: Previously inflamed BWT for children with IBD in sustained deep remission was less than 2.5 mm, which is less than 3 mm in adults, and unaffected by age, sex, and bowel segment in this population. BWT may be affected by weight and disease duration. These findings are crucial to the standardized assessment of transmural healing in children.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 0.006 |
| 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 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".