The Changing Epidemiology of Inflammatory Bowel Disease: What Goes Up May Come Down
Bibliographic record
Abstract
Recent epidemiologic studies have shown that although the incidence of inflammatory bowel disease (IBD) is rapidly increasing in newly industrialized countries, at the turn of the 21st century the incidence had stabilized in the Western world. In this issue of Inflammatory Bowel Diseases, Torabi and colleagues present their findings on the temporal trends and geographic variations in IBD incidence in Manitoba from 1990 to 2012 using the Manitoba Health population registry and the University of Manitoba IBD epidemiology database. Their results demonstrate an overall decrease in the incidence of IBD during the study period. They also found significant regional variations in disease incidence within Manitoba, with rates of new diagnosis of IBD remaining high in several regions. Lastly, the study found that a higher proportion of the indigenous population had a lower rate of IBD. These findings provide new insights on the changing epidemiology of IBD in the Western world. The overall declining incidence of IBD and identification of persistently low and high-risk populations in Manitoba, which traditionally has had some of the highest incidence rates of IBD, is intriguing and can provide new avenues of research for epidemiologists in the field.
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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 | 0.006 | 0.027 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.004 |
| Scholarly communication | 0.005 | 0.011 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.019 | 0.025 |
| Insufficient payload (model declined to judge) | 0.005 | 0.004 |
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".