Managing the pediatric patient with celiac disease: a multidisciplinary approach
Bibliographic record
Abstract
Celiac disease (CD) is an autoimmune reaction to gluten, leading to intestinal inflammation, villous atrophy, and malabsorption. It is the most common autoimmune gastrointestinal disorder, with an increasing prevalence. A life-long gluten-free diet (GFD) is an effective treatment to alleviate symptoms, normalize autoantibodies, and heal the intestinal mucosa in patients with CD. Poorly controlled CD poses a significant concern for ongoing malabsorption, growth restriction, and the long-term concern of intestinal lymphoma. Achieving GFD compliance and long-term disease control poses a challenge, with adolescents at particular risk for high rates of noncompliance. Attention has turned toward innovative management strategies to improve adherence and achieve better disease control. One such strategy is the development of multidisciplinary clinic approach, and CD is a complex life-long disease state that would benefit from a multifaceted team approach as recognized by multiple national and international bodies, including the National Institutes of Health. Utilizing the combined efforts of the pediatric gastroenterologist, registered dietitian, registered nurse, and primary care provider (general practitioner or general pediatrician) in a CD multidisciplinary clinic model will be of benefit for patients and families in optimizing diagnosis, provision of GFD teaching, and long-term adherence to a GFD. This paper discusses the benefits and proposed structure for multidisciplinary care in improving management of CD.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".