World Allergy Organization (WAO) Diagnosis and Rationale for Action against Cow's Milk Allergy (DRACMA) guidelines update – XVI - Nutritional management of cow's milk allergy
Bibliographic record
Abstract
Cow's milk allergy (CMA) is one of the most common presentations of food allergy in early childhood. Management of CMA involves individualized avoidance of cow's milk and other mammalian milk and foods containing these. Optimal elimination of cow's milk avoidance includes: label reading; information about safe and nutritious substitute foods; appropriate choice of infant formula or a plant-based food; establishing tolerance to baked milk and monitoring nutritional intake and growth. Substitute formulas are divided into soy formula (not hydrolyzed), milk-based extensively hydrolyzed formulas, rice based extensive, and partially hydrolyzed formulas and amino acid-based formulas. The use of other mammalian milks is not recommended for the management of cow's milk allergy due to a high level of cross-reactivity and nutritional concerns. For toddlers who are eating well, children, and adults, a suitable plant-based beverage may be a suitable alternative to a specialized formula, following careful nutritional considerations. Families need to be instructed on finding suitable nutritious foods and how to prepare suitable meals at home. Individuals with CMA also need to know how to identify and treat acute severe reactions.
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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 | 0.004 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.004 | 0.007 |
| Insufficient payload (model declined to judge) | 0.011 | 0.009 |
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".