P663 Long-term follow up in IBD: 10-year observational study of a UK IBD cohort
Bibliographic record
Abstract
Abstract Background Crohn’s Disease (CD) and ulcerative colitis (UC) are the two main sub-types of Inflammatory Bowel disease (IBD), which affect 300–500 per 100,000 people within Europe, with an increasing incidence. Long-term outcomes have been reported cohorts of Korean and Scandinavian populations, but long-term UK data are limited. Methods Data were prospectively collected from an IBD cohort over a 10-year period. 90 patients were included (47 CD, 36 UC, 7 IBD-unclassified). Phenotypic data (Montreal classification), medication and management decisions were documented. Statistical significance was determined by the Z-score for 2 population proportions. Results Over 10 years, the number of operations for CD significantly increased from 8 to 19 patients (p=0.03) but not significantly in UC from 1 to 4 (p=0.09). Perianal involvement in CD also increased from 15.5% to 27.7% at 10 years, but this change was non-significant (p=0.14). Within the UC cohort, a trend for aminosalicylate use was seen, increasing from 53% to 64% (p=0.34), whilst thiopurine use decreased from 44% to 28% (p=0.12). 6/36 patients with UC and 10/47 patients with CD failed thiopurine use due to intolerance or severe side-effects. Biologic use in both UC and CD significantly increased from 10 to 22 patients (p=0.013) over 10 years. Conclusion This is the first long-term observational study in IBD patients within the UK. The data show that even with an increase in biologic availability and prescribing, the overall lifetime risk of surgical management in CD does increase with time, mirroring recent publications. Studies with an increased number of IBD patients under long-term follow up are ongoing.
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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) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".