A223 DEMOGRAPHIC AND CLINICAL CHARACTERISTICS OF PATIENTS WITH INFLAMMATORY BOWEL DISEASE AND PRIMARY SCLEROSING CHOLANGITIS AT THE OTTAWA HOSPITAL
Bibliographic record
Abstract
Abstract Background Primary sclerosing cholangitis (PSC) is present in up to 8% of individuals with inflammatory bowel disease (IBD). Characteristics of this population are unique and data are limited. Aims To describe the demographic and clinical characteristics of all individuals with PSC-IBD managed at The Ottawa Hospital (TOH). Methods A chart review was performed for 132 patients with PSC-IBD followed at TOH between January 1998 and July 2023. Results Of 132 individuals with PSC-IBD identified at TOH, 26.5% had Crohn’s disease (CD), 68.2% had ulcerative colitis (UC) and 5.3% had IBD-unclassified. Median age at diagnosis were 25.3 (IQR 20.94) for IBD and 33.84 (IQR 23.98) for PSC, and 66.7% of all patients were male. More than 17% had a co-morbid autoimmune disease other than IBD or PSC. Of those with CD, roughly 15% had fibrostenotic or penetrating complications and 17% had perianal disease at the time of IBD diagnosis. Only 28% ever had a liver biopsy, whereas the majority were diagnosed with PSC by cholangiography. PSC distribution was isolated intrahepatic in 47%, isolated extra-hepatic in 5.1% and mixed intra/extra-hepatic in 38.5%. Clinically significant portal hypertension was present in 11.5% at PSC diagnosis, while 27.3% and 16.7% developed cirrhosis and liver decompensation, respectively by last follow-up. 17.4% underwent liver transplant, of which 30.4% developed PSC recurrence post-transplant. Conclusions Our study showed that the majority of PSC-IBD patients are young males with UC. Co-morbid autoimmune diseases are common while isolated extra-hepatic PSC is uncommon. Cirrhosis, liver decompensation and liver transplant are frequent occurrences in this population. PSC recurrence post-transplant is observed in more than 30% of patients. Funding Agencies None
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 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".