Surgery and Postoperative Recurrence in Children With Crohn Disease
Bibliographic record
Abstract
OBJECTIVES: The aim of this study was to describe surgery rates, complications, and risk of disease recurrence after surgery in paediatric Crohn disease (CD). METHODS: Children <18 years with a diagnosis of CD and a least 1 intestinal resection from the period January 1, 1978 to December 31, 2007 were identified using the Danish National Patient Registry. Patient charts were used to extract data. RESULTS: A total of 115 of 422 children with CD, who had surgery in 2 referral centres, were further studied. Disease extension according to the Montreal classification at the time of operation was available in 106/115 patients: B1, 39/106 (37%); B2, 59/106 (56%); and B3, 8/106 (7%). Before/after surgery 89%/36% of the patients received corticosteroids, 26%/61% azathioprine, and 15%/34% infliximab. Ileocoecal resection was performed in 54 (47%); 17 (15%) underwent ileal resection, 21 (18%) colectomy, 13 (11%) hemicolectomy, and 10 (9%) a combined colonic and ileal resection. Median time from diagnosis to surgery was 23 months (range 0-147). The median follow-up time after surgery was 121 months (16-226), and median time to disease recurrence was 12 months (3-160). The cumulative clinical recurrence rates at 1, 5, and 10 years were 50%, 73%, and 77%, respectively. More than 1 bowel resection was needed in 39%. Postoperative azathioprine treatment did not affect rate of recurrence after surgery. CONCLUSIONS: In this large cohort of children with CD studied for >10 years postoperatively, we found a high postoperative recurrence rate of disease and a frequent need for >1 intestinal resection.
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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 | 0.000 | 0.003 |
| 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 | 0.000 | 0.000 |
| 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".