Hospitalization, Surgery, and Readmission Rates of IBD in Canada: A Population-Based Study
Bibliographic record
Abstract
BACKGROUND: We aimed to define the rates of hospitalization and readmission for inflammatory bowel disease in Canada. METHODS: The data source was Statistics Canada Person Oriented Information Database (1994-2001). The number of stays for a diagnosis of Crohn's disease (CD) or ulcerative colitis (UC) by ICD-9-CM code 555 or 556 was extracted (and assessed when CD or UC was the first diagnosis or was 1 of 16 diagnoses on the patient discharge abstract). Age-, gender-, and disease-specific rates of hospitalization, length of stay, readmission, and surgery were assessed. RESULTS: The age-adjusted hospitalization rate for CD declined over 1994-2001 from 29.2 to 26.9/100,000 but was stable for UC at 12.6-13.3 per 100,000. In the 7 yr, 39.4% of CD patients (21.3-24.0%/yr) and 33.7% of UC patients (18.5-20.3%/yr) got readmitted at least once. The average length of stay declined from 10.3 (1994-1995) to 9.1 days (2000-2001) (p = 0.029) in CD and in UC declined from 12.2 to 10.1 days (p = 0.054). Of all hospitalizations, major surgery occurred in 48% of CD (44.8-49.8% per yr) and 55% of UC (51.5-59.0% per yr). CONCLUSIONS: Rates of hospitalization declined slightly for CD over the 7 yr but still remained twice as great as the rates for UC. Approximately 20% of CD and UC subjects got readmitted per year and over 7 yr approximately 35% got readmitted. Major surgery was a more common reason for hospitalization in UC than 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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.004 |
| 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) | 0.002 | 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".