Declining hospitalisation and surgical intervention rates in patients with Crohn's disease: a population‐based cohort
Bibliographic record
Abstract
BACKGROUND: Lifetime risk of surgery in patients with Crohn's disease remains high. AIM: To assess population-level markers of Crohn's disease (CD) in the era of biological therapy. METHODS: Population-based cohort study using administrative data from Ontario, Canada including 45 235 prevalent patients in the Ontario Crohn's and Colitis Cohort (OCCC) from 1 April 2003 to 31 March 2014. RESULTS: CD-related hospitalisations declined 32.4% from 2003 to 2014 from 154/1000 (95% confidence interval (CI) [150, 159]) patients to 104/1000 (95% CI [101, 107]) (P < .001). There was a 39.6% decline in in-patient surgeries from 53/1000 (95% CI [50, 55]) to 32/1000 (95% CI [30, 34]) from 2003 to 2014 (P < .001). In-patient surgeries were mostly bowel resections. Out-patient surgeries increased from 8/1000 (95% CI [7, 9]) patients to 12/1000 (95% CI [10, 13]) (P < .001). Out-patient surgeries were largely related to fistulas and perianal disease and for stricture dilations/stricturoplasty. CD-related emergency department (ED) visits declined 28.4% from 141/1000 (95% CI [137, 146]) cases to 101/1000 (95% CI [99, 104]) from 2003 to 2014 (P < .001). Over the same time, patients receiving government drug benefits received infliximab or adalimumab at a combined rate of 2.2% in 2003 which increased to 18.8% of eligible patients by 2014. CONCLUSIONS: Rates of hospitalisations, ED visits and in-patient surgeries markedly declined in Ontario over the study period, while rates of biologic medication use increased markedly for those receiving public drug benefits.
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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) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 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".