Epidemiology of Inflammatory Bowel Disease across the Ages in the Era of Advanced Therapies
Bibliographic record
Abstract
BACKGROUND AND AIMS: The incidence of inflammatory bowel diseases [IBD] has risen over the past decade to become a global issue. The objectives of this review were to describe the incidence and/or prevalence of IBD in the era of advanced therapies, and to describe the association between environmental risk factors and both pathogenesis and disease course across the ages. METHODS: We performed a search of English language publications listed in PubMed regarding the epidemiology of IBD and key environmental factors implicated in IBD from January 2000 to December 2023. RESULTS: Annual incidence rates varied by geographical region with IBD estimates ranging from 10.5 to 46.14 per 100 000 in Europe, 1.37 to 1.5 per 100 000 in Asia and the Middle East, 23.67 to 39.8 per 100 000 in Oceania, 0.21 to 3.67 per 100 000 in South America, and 7.3 to 30.2 per 100 000 in North America. The burden of IBD among children and adolescents, and older people is rising globally. Key environmental factors implicated in IBD pathogenesis include exposure to tobacco smoking, antibiotics, non-steroidal anti-inflammatory drugs, oral contraceptives, infections, and ultra-high processed foods. Breastfeeding and a high-quality diet rich in fruit, vegetables, fish, and other fibre sources are important protective factors. Smoking has consistently been shown to negatively impact disease outcomes for Crohn's disease. CONCLUSION: The epidemiology of IBD has undergone considerable change in recent decades, with an increase in the burden of disease worldwide. Optimally studying and targeting environmental triggers in IBD may offer future opportunities for disease modification.
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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 | 0.002 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.007 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 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".