Predictors and risks for death in a population-based study of persons with IBD in Manitoba
Bibliographic record
Abstract
BACKGROUND AND AIMS: We aimed to determine the predictors and risk for death among persons with either Crohn's disease (CD) or UC compared with the general population. METHODS: We used the population-based University of Manitoba IBD Epidemiology Database to calculate HRs and their 95% CIs for cases relative to controls using stratified multivariable Cox proportional hazards regression models, controlling for socioeconomic status and comorbidities. RESULTS: There were 10 788 prevalent cases of CD and UC and 101 860 matched controls. The HR for all-cause mortality in prevalent CD cases was 1.26 (95% CI 1.16 to 1.38) and in prevalent UC cases was 1.04 (95% CI 0.96 to 1.12). Compared with matched controls, CD cases were more likely to die of colorectal cancer, non-Hodgkin's lymphoma, digestive diseases, pulmonary embolism and sepsis and UC cases were more likely to die from colorectal cancer, digestive diseases and respiratory diseases. For incident cases, there were significant effects on mortality by socioeconomic status, comorbidity score and surgery. The greatest risk for death in both CD and UC was within the first 30 days following GI surgery. The first year from diagnosis was associated with increased risk of death in both CD and UC, but persisted after the 1st year only in CD. CONCLUSIONS: There is a significantly increased risk of mortality in CD compared with controls while in UC an increased risk for death was only evident in the first year from diagnosis. Surgery poses an increased risk for death in both CD and UC lasting up to 1 year.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".