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Record W4393211072 · doi:10.1016/j.waojou.2024.100888

World Allergy Organization (WAO) Diagnosis and Rationale for Action against Cow's Milk Allergy (DRACMA) guideline update – XII – Recommendations on milk formula supplements with and without probiotics for infants and toddlers with CMA

2024· article· en· W4393211072 on OpenAlexaff
Antonio Bognanni, Alessandro Fiocchi, Stefania Arasi, Derek K. Chu, Ignacio J. Ansotegui, Amal Assa’ad, Sami L. Bahna, Roberto Berni Canani, Martín Bózzola, Lamia Dahdah, Christophe Dupont, Piotr Dziechciarz, Motohiro Ebisawa, Ramon Targino Firmino, A. Chu, Elena Galli, Andrea Horvath, Rose Kamenwa, Gideon Lack, Haiqi Li, Alberto M. Martelli, Anna Nowak‐Węgrzyn, Nikolaos G. Papadopoulos, Ruby Pawankar, Yetiani Roldán, Maria Said, Mario Sánchez‐Borges, Raanan Shamir, Jonathan M. Spergel, Hania Szajewska, Luigi Terracciano, Yvan Vandenplas, Carina Venter, Siw Waffenschmidt, Susan Waserman, Amena Warner, Gary Wong, Holger J. Schünemann, Jan Brożek

Bibliographic record

VenueWorld Allergy Organization Journal · 2024
Typearticle
Languageen
FieldMedicine
TopicFood Allergy and Anaphylaxis Research
Canadian institutionsMcMaster UniversityImpact
FundersNational Institutes of HealthAction Medical ResearchMylanAimmune TherapeuticsRegeneron PharmaceuticalsDanoneMedical Research CouncilSanofiMead Johnson NutritionAstraZenecaAmgen
KeywordsGuidelineMedicineMilk allergyBreastfeedingCow's milk allergyGrading (engineering)Multidisciplinary approachAllergyFood allergyPediatricsFamily medicineImmunologyPathology

Abstract

fetched live from OpenAlex

BackgroundCow's milk allergy (CMA) is the most common food allergy in infants. The replacement with specialized formulas is an established clinical approach to ensure adequate growth and minimize the risk of severe allergic reactions when breastfeeding is not possible. Still, given the availability of multiple options, such as extensively hydrolyzed cow's milk protein formula (eHF-CM), amino acid formula (AAF), hydrolyzed rice formula (HRF) and soy formulas (SF), there is some uncertainty as to the most suitable choice with respect to health outcomes. Furthermore, the addition of probiotics to a formula has been proposed as a potential approach to maximize benefit.ObjectiveThese evidence-based guidelines from the World Allergy Organization (WAO) intend to support patients, clinicians, and others in decisions about the use of milk specialized formulas, with and without probiotics, for individuals with CMA.MethodsWAO formed a multidisciplinary guideline panel balanced to include the views of all stakeholders and to minimize potential biases from competing interests. The McMaster University GRADE Centre supported the guideline-development process, including updating or performing systematic evidence reviews. The panel prioritized clinical questions and outcomes according to their importance for clinicians and patients. The Grading of Recommendations Assessment, Development and Evaluation (GRADE) approach was used, including GRADE Evidence-to-Decision frameworks, which were subject to review by stakeholders.ResultsAfter reviewing the summarized evidence and thoroughly discussing the different management options, the WAO guideline panel suggests: a) using an extensively hydrolyzed (cow's milk) formula or a hydrolyzed rice formula as the first option for managing infants with immunoglobulin E (IgE) and non-IgE-mediated CMA who are not being breastfed. An amino-acid formula or a soy formula could be regarded as second and third options respectively; b) using either a formula without a probiotic or a casein-based extensively hydrolyzed formula containing Lacticaseibacillus rhamnosus GG (LGG) for infants with either IgE or non-IgE-mediated CMA.The issued recommendations are labeled as “conditional” following the GRADE approach due to the very low certainty about the health effects based on the available evidence.ConclusionsIf breastfeeding is not available, clinicians, patients, and their family members might want to discuss all the potential desirable and undesirable consequences of each formula in infants with CMA, integrating them with the patients' and caregivers’ values and preferences, local availability, and cost, before deciding on a treatment option. We also suggest what research is needed to determine with greater certainty which formulas are likely to be the most beneficial, cost-effective, and equitable.

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)0.015
metaresearch head score (Gemma)0.044
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: Not applicable
GenreCandidate signal: Editorial · Consensus signal: none
Teacher disagreement score0.026
Threshold uncertainty score0.078

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0150.044
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0040.009
Bibliometrics0.0090.005
Science and technology studies0.0010.001
Scholarly communication0.0030.002
Open science0.0060.003
Research integrity0.0070.006
Insufficient payload (model declined to judge)0.0070.004

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 head0.027
GPT teacher head0.311
Teacher spread0.283 · 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
GenreEditorial

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

Citations42
Published2024
Admission routes1
Has abstractyes

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