Anticipatory care of children and adolescents with inflammatory bowel disease: a primer for primary care providers
Bibliographic record
Abstract
PURPOSE OF REVIEW: About 10-20% of patients with newly diagnosed inflammatory bowel disease (IBD) are under 18 years of age, with incidence increasing in young children. Children with IBD have unique healthcare needs, which require coordination between primary care providers and pediatric gastroenterologists to provide appropriate care. This review highlights some key elements of anticipatory care in pediatric IBD, including vaccination, risk of serious infection and malignancy, psychosocial and educational needs, and cannabis use. RECENT FINDINGS: Therapies for IBD that include anti-tumor necrosis factor medications, especially when combined with corticosteroids are associated with higher risks of serious infections. Vaccination remains the best way to prevent infections. Live vaccinations should be avoided during immunosuppression, but the schedule should be otherwise completed, including vaccination for influenza, pneumococcus and meningococcus, and human papillomavirus. Malignancy risk is increased in IBD patients, both because of disease factors and resulting from immunomodulatory medications. Children with IBD are at risk for mental health disorders and negative educational outcomes, so identification of at-risk children and early intervention are important. SUMMARY: High-quality care in pediatric IBD requires coordination between pediatric gastroenterologists and primary care providers, with careful attention paid to the specific needs of children with 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.
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 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".