Nutritional management of Eosinophilic Gastroenteropathies: Case series from the community
Bibliographic record
Abstract
Eosinophilic gastroenteropathies, such as eosinophilic esophagitis and eosinophilic colitis, have classically been treated with swallowed inhaled corticosteroids or oral corticosteroids. More recent studies have found elimination and elemental diets to be effective treatment alternatives to steroids. In this case series we describe the treatment of three children using nutritional management in a community setting. Elimination diets and elemental diets based on patch testing and skin prick tests reduced the eosinophil counts to normal levels in all three children. Food items which tested positive were then reintroduced while symptoms and eosinophil counts were monitored. Nutritional management of eosinophilic esophagitis and eosinophilic colitis was found to be effective in reducing symptoms. However, obstacles facing patients who choose this type of therapy include limitations due to the cost of repeated endoscopies, palatability of elimination/elemental diets and the availability of subspecialists trained in management (e.g. Allergy, Gastroenterology, and Pathology). It may be a worthwhile endeavour to overcome these obstacles as nutritional management minimizes the potential long-term effects of chronic steroid therapy.
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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 | 0.000 | 0.004 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.004 | 0.003 |
| 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".