Changes in disease behaviour and location and factor analysis in patients with Crohn’s disease undergoing repeated-resections
Bibliographic record
Abstract
AIM: Crohn's disease affects the entire gastrointestinal tract and is accompanied by changes in disease location and behaviour. We aimed to analyse changes and the factors in patients with Crohn's disease undergoing intestinal repeated-resection. METHODS: We included and retrospectively analyzed patients with Crohn's disease who received ≥2 bowel surgeries from a tertiary inflammatory bowel disease centre from January 2008 to December 2019. The Montreal classification was used to describe the disease site and behaviour. Factors were assessed by univariate and multivariate analysis. RESULTS: A total of 339 patients were included of whom 94 patients received ≥3 bowel resections. The median patient's age at the second and third surgery was 36.4 and 39.6, respectively. Repeated-resection most commonly occurred in the original surgical site. However, disease behaviour progressed with the number of surgical interventions and disease duration, especially for patients with B1 phenotype. Patients with L1 Crohn's disease at a primary resection that progressed to L2 Crohn's disease at a second surgical resection required a resection earlier than patients whose disease remained in L1 or progressed to L3 Crohn's disease. Multivariate analysis showed that history of appendectomy was a predictor of progression from L1 to L3 Crohn's disease at a second surgical resection, while treatment with azathioprine (AZA) may be a protective factor that abated the risk of progression from L1 to L3 Crohn's disease. CONCLUSION: The original resection site is the most common location for recurrence in patients with Crohn's disease, but disease behaviour progresses with the number of surgeries and disease duration. L1 Crohn's disease patients with a history of appendectomy have a higher risk to progress to L3 Crohn's disease at a second surgical resection, while the AZA may be a protective factor that reduces the risk of progression from L1 to L3.
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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 | 0.002 |
| 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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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".