P260 Disease duration in Crohn’s disease is a strong determinant for having a colectomy in geriatric population
Bibliographic record
Abstract
Geriatric population is swiftly growing in most developed countries. Looking after inflammatory bowel disease (IBD) in elderly population has become a clinical challenge due to their co-morbidities, frailty, polypharmacy with multiple drug interactions. In our study, we evaluate the clinical course, treatment, and outcome in our geriatric IBD population in a large district general hospital. We identified an IBD geriatric group with age 65 and above from our existing database from 2014 onward. Data were extracted from electronic database. Extracted data included gender, age of diagnosis, duration of disease, disease characteristics using Montreal classification, and surgical outcomes. χ2-test was performed on non-parametric data using R studio program. Since 2014, we identified 105 IBD patients with age above 65 years. Forty-one out 105 (39%) have Crohn’s disease. Sex ratio is equally distributed (M:F= 21:20). Boxplot of age, age of diagnosis, and disease duration. Age ranges from 65 to 90 with median age of 71. Age of diagnosis ranges from 23 to 82 with median age of 59. Disease duration ranges from 0 to 58 years with a median age of 14. Disease location, n = 41. Of 41, 12 (29%) had colectomies and 8 (67%) has L1 disease and 4 (33%) had L3 disease. Colectomy is associated with disease duration of more than 10 years (29% vs. 0%, χ2 = 5.94, p value = 0.015). However, there is no statistically significant association between colectomies and age of disease onset age (<65 years) (33% vs. 13%, p = 0.47) or disease behaviour (stricturing and stenotic vs. non-structuring and non-stenotic) (47% vs. 19%, p = 0.13). In our cohort of Crohn’s disease, patients aged above 65 years, regardless of the age of disease onset, longer disease duration is associated with colectomies mainly in L1 and L3 disease.
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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 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 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".