DOP041 Surgery and hospitalisation in patients with inflammatory bowel disease; 10-year follow-up of a Danish population-based inception cohort
Bibliographic record
Abstract
The long-term disease course of Inflammatory bowel disease (IBD), including Crohn’s disease (CD) and ulcerative colitis (UC), in the age of biologics has not been well described. We aimed to characterise the disease course after 10 years in CD and UC patients in a well-defined population based inception cohort. All patients (n = 513) diagnosed with CD, UC or IBD unclassified between January 1, 2003 and December 31, 2004 in a well-defined Copenhagen area were included. Clinical data regarding treatment and outcome were recorded and patient records linked with four national registries to ensure complete data capture and follow-up. Major surgery was defined as any colectomy or intestinal resection. Disease classification was made according to the Montreal Classification. Hospitalisation was defined as any hospitalisation 3 months after date of diagnosis. Treatment with immunomodulators and biologics prior to the surgery was included in a regression model. A total of 213 CD and 300 UC were followed for a mean of 9.24 years (sd: 2.68). In CD, during follow-up 75 (35%) patients underwent at least one major surgery, while 196 (92%) were hospitalised at least once. The median length of stay (LOS) was 3 days (IQR: 1–8) and the median number of hospitalisation was 7 (IQR: 4–13). In UC, 35 (12%) patients had a colectomy and 258 (86%) were hospitalised. The median LOS was 3 days (IQR: 1–8) and median number of hospitalisations was 5 (IQR: 3–8). Cumulative risk of major surgery and associated factors are show in Table 1 and Figures 1 and 2. In the age of biologics, the risk of resection and hospitalisation remains high for CD as well as for UC. The use of immunomodulators but not biologics was associated with a reduced risk of surgery in CD.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 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".