Hospitalization-Based Major Comorbidity of Inflammatory Bowel Disease in Canada
Bibliographic record
Abstract
OBJECTIVE: To define the patterns of hospitalization for known major comorbidities associated with inflammatory bowel disease (IBD) in Canada. METHODS: The data source was the Statistics Canada Health Person Oriented Information hospital database (1994/1995 to 2003/2004). The number of stays for a diagnosis of Crohn's disease or ulcerative colitis by the International Classification of Diseases, ninth edition, codes 555 or 556, or the International Classification of Diseases, 10th edition, Canadian Enhancement, codes K50 or K51, was extracted. Age- and sex-specific and age-adjusted rates of hospitalization for selected IBD-related comorbidities were assessed. RESULTS: Rates of Hodgkin's disease and non-Hodgkin's lymphoma were low in the hospitalized IBD population. Rates for colon cancer, rectal cancer, pulmonary emboli and deep venous thromboembolism were generally higher among IBD patients younger than 50 years of age compared with the non-IBD hospitalized population. CONCLUSIONS: IBD was associated with life-threatening comorbidities such as venous thromboembolic disease and colon cancer among persons younger than 50 years of age to a greater extent than the general hospitalized population. Recent secular trends in rates of non-Hodgkin's lymphomas will need to be followed to determine whether the whole population, including IBD patients who receive immunomodulating therapies, are at increased risk.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".