Non-IgE-mediated gastrointestinal food allergy in children. Diagnostics, differential diagnostics, tactics of diet therapy
Bibliographic record
Abstract
In routine pediatric practice, non-IgE-mediated forms of gastrointestinal food allergy are still poorly recognized. This is due to the variety of clinical manifestations, the lack of reliable laboratory diagnostic methods, the unclear association with time, and the causal relationship with the allergen. Immature barrier mechanisms and early transition to formula feeding increase the penetration of allergen proteins, leading to sensitization. The article discusses three clinical forms of non-IgE-mediated gastrointestinal food allergy in children: food protein-induced enterocolitis syndrome, food protein enteropathy, and food protein-induced proctocolitis. In these cases, diet is a universal diagnostic and therapeutic measure. Eliminating the allergen allows for immunological reset and the induce the food tolerance. Therefore, strict adherence to elimination diets is crucial. The article also provides a differential diagnosis based on the level of allergic inflammation of the intestine and outlines principles and protocols for diagnostic and elimination diets.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".