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Record W4404356080 · doi:10.1093/pch/pxae043

Cow’s milk protein allergy in infants and children

2024· review· en· W4404356080 on OpenAlexaff
Pushpa Sathya, Tanis R. Fenton

Bibliographic record

VenuePaediatrics & Child Health · 2024
Typereview
Languageen
FieldMedicine
TopicFood Allergy and Anaphylaxis Research
Canadian institutionsCanadian Paediatric Society
Fundersnot available
KeywordsOverdiagnosisImmunoglobulin EMedicineAllergyImmunologyImmune systemElimination dietAnaphylaxisAntibodyFood allergyInternal medicine

Abstract

fetched live from OpenAlex

Cow's milk protein allergy (CMPA) is an immune-mediated reaction to cow's milk proteins, which can involve multiple organ systems including the gastrointestinal tract. Immunoglobulin E (IgE)-mediated response results in rapid onset of allergic symptoms that are easily recognizable. However, delayed (i.e., non-IgE/cell-mediated) or mixed (IgE- and cell-mediated) reactions produce a host of symptoms that overlap with other conditions and vary widely in onset and severity. Determining whether symptoms represent immune-mediated CMPA, non-immunologic reaction to cow's milk, or are unrelated to cow's milk exposure is challenging yet essential for effective management. While the clinical presentation of non-IgE-mediated CMPA can vary, this condition is usually self-limited and resolves by 1 to 6 years of age. Food antigen-specific immunoglobulin G (IgG) panels that are not evidence-based should be avoided because they can lead to overdiagnosis of presumed food intolerances. Overdiagnosis of CMPA can result in overuse of extensively hydrolyzed formulas and have significant cost implications for families. This statement focuses on delayed non-IgE/cell-mediated CMPA and assists health care providers to distinguish between and identify varied reactions to cow's milk, discusses the role of diagnostic testing, and provides management recommendations based on best evidence.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.004
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.003
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.001

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.

Opus teacher head0.031
GPT teacher head0.356
Teacher spread0.325 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreReview

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".

Quick stats

Citations3
Published2024
Admission routes1
Has abstractyes

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