Epidemiology of Inflammatory Bowel Disease across the Ages in the Era of Advanced Therapies
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
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.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it