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Record W4224247416 · doi:10.1016/j.waojou.2022.100646

World Allergy Organization (WAO) Diagnosis and Rationale for Action against Cow’s Milk Allergy (DRACMA) Guideline update – XIV – Recommendations on CMA immunotherapy

2022· article· en· W4224247416 on OpenAlexafffund
Jan Brożek, Ramon Targino Firmino, Antonio Bognanni, Stefania Arasi, Ignacio J. Ansotegui, Amal Assa’ad, Sami L. Bahna, Roberto Berni Canani, Martín Bózzola, Derek K. Chu, Lamia Dahdah, Christophe Dupont, Piotr Dziechciarz, Motohiro Ebisawa, 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, Alessandro Fiocchi, Holger J. Schünemann

Bibliographic record

VenueWorld Allergy Organization Journal · 2022
Typearticle
Languageen
FieldMedicine
TopicFood Allergy and Anaphylaxis Research
Canadian institutionsMcMaster UniversityImpact
FundersUniversity of Colorado School of Medicine, Anschutz Medical CampusNYU Grossman School of MedicineDirectorate for Biological SciencesUniwersytet WarszawskiUniversité Paris DescartesNational and Kapodistrian University of AthensTel Aviv UniversityChildren's Hospital ColoradoWarszawski Uniwersytet MedycznyMcMaster UniversityKing's College LondonChongqing Medical UniversityUniversità degli Studi di Napoli Federico IILouisiana State UniversityCincinnati Children's Hospital Medical CenterUniversity of PennsylvaniaChildren's Hospital of Philadelphia
KeywordsMedicineGuidelineMilk allergyAllergyAdverse effectGrading (engineering)Oral immunotherapyCow's milk allergyIntensive care medicineAlternative medicineAllergen immunotherapyMultidisciplinary approachFood allergyFamily medicinePediatricsInternal medicineImmunologyAllergenPathology

Abstract

fetched live from OpenAlex

Background: The prevalence of cow's milk allergy (CMA) is approximately 2-4.5% in infants and less than 0.5% in adults. Most children outgrow cow's milk allergy in early childhood, particularly that to the baked milk products. Immunotherapy with unheated cow's milk has been used as a treatment option for those who have not yet outgrown CMA, but the benefits must be balanced with the adverse effects. Objective: These evidence-based guidelines from the World Allergy Organization (WAO) intend to support patients, clinicians, and others in decisions about the use of oral and epicutaneous immunotherapy for the treatment of IgE-mediated CMA. Methods: WAO 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 public comment. Results: After a careful review of the summarized evidence and thorough discussions the WAO guideline panel suggests: a) using oral immunotherapy with unheated cow's milk in those individuals with confirmed IgE-mediated CMA who value the ability to consume controlled quantities of milk more than avoiding the large adverse effects of therapy, b) not using oral immunotherapy with unheated cow's milk in those who value avoiding large adverse effects of therapy more than the ability to consume controlled quantities of milk, c) using omalizumab in those starting oral immunotherapy with unheated cow's milk, d) not using oral immunotherapy with baked cow's milk in those who do not tolerate both unheated and baked milk, and e) not using epicutaneous immunotherapy outside of a research setting. The recommendations are labeled "conditional" due to the low certainty about the health effects based on the available evidence. Conclusions: Clinicians, patients, and their family members might want to discuss all the potential desirable and undesirable effects of oral immunotherapy for IgE-mediated CMA and integrate them with the patients' values and preferences before deciding on a treatment option. More robust research is needed to determine with greater certainty which interventions are likely to be the most beneficial with the least harms, and to develop safer, low-cost, and equitable treatments.

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)0.012
metaresearch head score (Gemma)0.037
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: Other · Consensus signal: none
Teacher disagreement score0.022
Threshold uncertainty score0.063

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0120.037
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.006
Bibliometrics0.0060.004
Science and technology studies0.0010.001
Scholarly communication0.0030.002
Open science0.0050.002
Research integrity0.0070.007
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 head0.032
GPT teacher head0.308
Teacher spread0.276 · 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
GenreOther

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

Citations48
Published2022
Admission routes2
Has abstractyes

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