Inflammatory Bowel Disease in Indo-Canadians with and without Antineutrophil Cytoplasmic Autoantibodies
Bibliographic record
Abstract
A sequentially evaluated cohort of Indo-Canadians with either ulcerative colitis or Crohn's disease were prospectively examined for antineutrophil cytoplasmic autoantibodies (ANCA). Of 84 patients, 62 had ulcerative colitis and 22 had Crohn's disease. About one-third were born in Canada, and two-thirds were migrants from India or other countries, particularly East African nations. There was a disease-based and geographically based male predominance. The mean age of Canadian-born patients was significantly less than that of those born in other countries. Moreover, for migrants, the mean duration of residence in Canada before developing disease was 8.9 years for Crohn's disease patients and 13.5 years for ulcerative colitis patients. Moderate to severe disease was present; virtually all those with Crohn's disease had colonic involvement, and most of those with ulcerative colitis had extensive colonic disease. Overall, 40 of 84 (48%) were seropositive for ANCA, including a majority of those with ulcerative colitis but not Crohn's disease. In addition, eight had cytoplasmic ANCA, a reported seromarker for extensive colitis. Seropositive and seronegative patients were similar in age, sex, birth or duration of residence in Canada, site and severity of disease, familial history and complications, including pouchitis. This study supports the view that these diseases arise in individuals with a genetic predisposition following exposure to some, as yet unknown, environmental factor.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.004 | 0.001 |
| 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".