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Assessment of Evidence About Common Infant Symptoms and Cow’s Milk Allergy

2020· review· en· W3015735885 on OpenAlex
Daniel Munblit, Michael R. Perkin, Debra J. Palmer, Robert Boyle

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJAMA Pediatrics · 2020
Typereview
Languageen
FieldMedicine
TopicFood Allergy and Anaphylaxis Research
Canadian institutionsPopulation Health Research Institute
Fundersnot available
KeywordsMedicineOverdiagnosisBreastfeedingCow's milk allergyCryingMilk allergyPediatricsGuidelineFood allergyAllergyPsychiatryImmunologyInternal medicine

Abstract

fetched live from OpenAlex

Importance: Sales of specialized formula for managing cow's milk allergy (CMA) have increased, triggering concern that attribution of common infant symptoms, such as crying, vomiting, and rashes, to CMA may be leading to overdiagnosis, which could undermine breastfeeding. Objective: To understand whether CMA guideline recommendations might promote CMA overdiagnosis or undermine breastfeeding. Evidence Review: We reviewed recommendations made in CMA guidelines and critically appraised 2 key recommendations. First, we reviewed relevant literature summarizing whether maternal or infant dietary exclusion of cow's milk is effective for managing common infant symptoms. Second, we reviewed published data on breastmilk composition and thresholds of reactivity in CMA to estimate the probability that cow's milk protein in human breastmilk can trigger symptoms in infants with CMA. We also documented the level of commercial involvement in CMA guidelines. Findings: We reviewed 9 CMA guidelines published from 2012 to 2019. Seven suggest considering CMA as a cause of common infant symptoms. Seven recommend strict maternal cow's milk exclusion for managing common symptoms in breastfed infants. We found CMA proven by food challenge affects approximately 1% of infants, while troublesome crying, vomiting, or rashes are each reported in 15% to 20% of infants. We found clinical trials do not provide consistent support for using maternal or infant cow's milk exclusion to manage common symptoms in infants without proven CMA. We estimated that for more than 99% infants with proven CMA, the breastmilk of a cow's milk-consuming woman contains insufficient milk allergen to trigger an allergic reaction. Three CMA guidelines were directly supported by formula manufacturers or marketing consultants, and 81% of all guideline authors reported a conflict of interest with formula manufacturers. Conclusions and Relevance: Recommendations to manage common infant symptoms as CMA are not evidence based, especially in breastfed infants who are not directly consuming cow's milk. Such recommendations may cause harm by undermining confidence in breastfeeding.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.981
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.092
GPT teacher head0.409
Teacher spread0.317 · 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