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
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
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.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.000 |
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 it