Paediatric inflammatory bowel disease during a 44-year period in Copenhagen County: occurrence, course and prognosis – a population-based study from the Danish Crohn Colitis Database
Bibliographic record
Abstract
AIM: To describe the development in incidence, disease localization, activity, surgery and prognosis in two Danish paediatric population-based inflammatory bowel disease (IBD) cohorts comparing the time periods 1962-1987 (period I) and 1998-2006 (period II). MATERIALS AND METHODS: Incident IBD patients below 15 years of age were included. Disease localization was classified according to the Montreal classification for ulcerative colitis (UC) patients and into small bowel, large bowel and small and large bowel combined for Crohn's disease (CD) patients. Disease activity and surgery in the first 2 years after diagnosis were assessed. Standardized cancer incidence rates and standardized mortality rates were calculated. RESULTS: One hundred and nineteen IBD patients (77 UC and 42 CD) were included. Comparing periods II and I, the incidence rate ratios were 0.81 [95% confidence interval (CI): 0.5-1.4] and 15.6 (95% CI: 7.5-32.7) in UC and CD, respectively. The number of UC patients with extensive disease (E3) increased from period I to II (46.7 vs. 94.1%, P<0.001). No colectomies were performed in UC patients in period II compared with nine in period I (P = 0.13) within the first 2 years after diagnosis. For patients diagnosed in period I, the standardized cancer incidence rate for UC was 37.9 (95% CI: 4.6-136.7) after a median follow-up period of 26 years. CONCLUSION: We found a significant 15-fold increase in the incidence of CD and a significant increase in the number of UC patients with extensive disease in period II compared with period I. After a median follow-up time of 26 years, a possible increased risk of colorectal cancer in UC patients was detected.
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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 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".