Updates In The Management Of Pediatric Inflammatory Bowel Disease
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
Canada has one of the highest rates of childhoodonset inflammatory bowel disease (IBD) in the world, with the recent Crohn’s and Colitis Canada’s 2023 Impact of Inflammatory Bowel Disease in Canada Report demonstrating that approximately 6,158 children and youth under 18 years are living with IBD, along with 600-650 new diagnoses under age 16 per year. This number is expected to rise to 8,079 by 2035. This represents approximately 10-20% of newly diagnosed patients. Concerningly, although still relatively uncommon compared with adolescent onset IBD, the incidence has increased most significantly in children under 5 years old. Recent health administrative data demonstrated the national incidence of IBD, overall, to be 29.9 per 100,000 (95%CI: 28.3, 31.5) in 2023, with increasing incidence in pediatrics (AAPC:1.27%; 95%CI:0.82, 1.67), despite stable incidence in adults (AAPC:0.26%; 95%CI: -0.42, 0.82). Figure 1 demonstrates that this increase in pediatric incidence is a worldwide phenomenon. Current IBD care in pediatrics is moving toward a precision medicine approach, with unique and standardized approaches to genetics, risk stratification and disease phenotype, nutritional and advanced therapies, and specialized multidisciplinary clinics with knowledge of the unique challenges pediatric patients and their families face with a diagnosis of IBD.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| 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