Incidence and characteristics of pediatric patients with Crohn's disease undergoing surgery: A cross‐sectional study
Bibliographic record
Abstract
ABSTRACT Objectives Despite biological treatments reducing the burden of pediatric inflammatory bowel disease, many patients still require surgery. Data on pediatric patient characteristics and surgical incidence are limited, often based on adult studies. This study aimed to assess the characteristics of pediatric Crohn's disease (CD) at diagnosis and compare surgery rates between two periods (before and after 2019) to understand which patients require surgery. Methods We analyzed pediatric CD patients who underwent surgery at CHU Sainte‐Justine, Montreal, between 2014 and 2023. Descriptive statistics and the Mann–Whitney U‐test were used to compare means, while Kaplan–Meier curves assessed surgery‐free survival, with significance set at p < 0.05. Results The overall surgery incidence was 5.2/1000 person‐years. Surgery rates were lower for patients diagnosed after 2019 than before 2019 (5.6/1000 vs. 14.7/1000 person‐years). There were no significant differences in age at diagnosis, CD Paris score, reason for surgery, or disease severity. Among CD patients, surgeries were more frequent before 2019 (11.5% vs. 2.8%, p < 0.001). The reduction in surgery rates since 2019 is likely due to earlier initiation of biologics, with a median initiation of 14 days after 2019 compared to 142 days before 2019 (p = 0.01). Conclusion The reduced incidence of surgery in pediatric CD is a significant achievement. Increased use of infliximab, proactive drug monitoring, and better nonresponder management likely contribute to this improvement.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".