Inflammatory Bowel Disease in the South Asian Pediatric Population of British Columbia
Bibliographic record
Abstract
BACKGROUND Geographical differences, population migration, and changing demographics suggest an environmental role in prevalence, modulation, and phenotypic expression of inflammatory bowel disease (IBD). AIM To determine the incidence of IBD and disease subtype in the pediatric South Asian population in British Columbia (BC) compared with non-South Asian IBD patients in the same geographic area. METHODS Chart review with data collected for all patients ≤16 yr of age diagnosed with IBD at B.C. Children's hospital, January 1985 to June 2005. Age, gender, family history, duration of symptoms, type, and extent of disease were extracted. Identified South Asian subjects were prospectively interviewed. RESULTS Seventy-five South Asian patients were diagnosed with IBD, 48% Crohn's disease (CD), 33.3% ulcerative colitis (UC), and 18.7% with indeterminate colitis (IC), in contrast to 71%, 18.8%, and 10.2%, respectively, in the non-South Asian population. The incidence rate for South Asian IBD patients, for the period 1996–2001 was 15.19/105 (6.41/105 for CD, 6.70/105 for UC, and 2.08/105 for IC) compared with 5.19/105 for the non-South Asian IBD group (3.69/105, 0.96/105, and 0.54/105, respectively). The South Asian male/female ratio was significantly different from that observed for the rest of the population. CONCLUSION These data suggest a significantly higher incidence of IBD in the South Asian pediatric population compared with the rest of the BC pediatric population, with a different pattern of phenotypic expression, a male predominance, and more extensive colonic disease. These data suggest a potential effect of migration, and environmental and lifestyle change on the incidence of IBD and disease subtype.
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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) | 0.001 | 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".