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Record W4402390289 · doi:10.1016/j.waojou.2024.100947

World Allergy Organization (WAO) Diagnosis and Rationale for Action against Cow's Milk Allergy (DRACMA) guideline update – XI – Milk supplement/replacement formulas for infants and toddlers with CMA – Systematic review

2024· article· en· W4402390289 on OpenAlexafffund
Antonio Bognanni, Ramon Targino Firmino, Stefania Arasi, Derek K. Chu, A. Chu, Siw Waffenschmidt, Arnav Agarwal, Piotr Dziechciarz, Andrea Horvath, Hanako Mihara, Yetiani Roldán, Luigi Terracciano, Alberto M. Martelli, Anna Starok, Maria Said, Raanan Shamir, Ignacio J. Ansotegui, Lamia Dahdah, Motohiro Ebisawa, Elena Galli, Rose Kamenwa, Gideon Lack, Haiqi Li, Ruby Pawankar, Amena Warner, Gary Wong, Martín Bózzola, Amal Assa’ad, Christophe Dupont, Sami L. Bahna, Jonathan M. Spergel, Carina Venter, Hania Szajewska, Anna Nowak‐Węgrzyn, Yvan Vandenplas, Nikolaos G. Papadopoulos, Susan Waserman, Alessandro Fiocchi, Holger J. Schünemann, Jan Brożek

Bibliographic record

VenueWorld Allergy Organization Journal · 2024
Typearticle
Languageen
FieldMedicine
TopicFood Allergy and Anaphylaxis Research
Canadian institutionsMcMaster UniversityImpact
FundersMedical Research CouncilNational Institutes of HealthFood Allergy CanadaBausch HealthAction Medical ResearchMylanBioCrystRegeneron PharmaceuticalsAstraZenecaAimmune TherapeuticsCSL BehringDanoneSanofiMead Johnson NutritionPfizerAmgen
KeywordsMedicineGuidelineMilk allergyCow's milk allergyAllergyPediatricsCow milkImmunologyFood allergyFood sciencePathology

Abstract

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Background Cow's milk allergy (CMA) is the most complex and common food allergy in infants. Elimination of cow's milk from the diet and replacement with a specialized formula for infants with cow's milk allergy who cannot be breastfed is an established approach to minimize the risk of severe allergic reactions while avoiding nutritional deficiencies. Given the availability of multiple options, such as extensively hydrolyzed cow's milk-based formula (eHF-CM), aminoacid formula (AAF), hydrolyzed rice formula (HRF), and soy formula (SF), there is some uncertainty regarding which formula might represent the most suitable choice with respect to health outcomes. The addition of probiotics to a specialized formula has also been proposed as a potential approach to possibly increase the benefit. We systematically reviewed specialized formulas for infants with CMA to inform the updated World Allergy Organization (WAO) DRACMA guidelines. Objective To systematically review and synthesize the available evidence about the use of specialized formulas for the management of individuals with CMA. Methods We searched from inception PubMed, Medline, Embase, the Cochrane Central Register of Controlled Trials (CENTRAL), and the websites of selected allergy organizations, for randomized and non-randomized trials of any language investigating specialized formulas with or without probiotics. We included all studies irrespective of the language of the original publication. The last search was conducted in January 2024. We synthesized the identified evidence quantitatively or narratively as appropriate and summarized it in the evidence profiles. We conducted this review following the PRISMA, Cochrane methods, and the GRADE approach. Results We identified 3558 records including 14 randomized trials and 7 observational studies. Very low certainty evidence suggested that in infants with IgE-mediated CMA, eHF-CM, compared with AAF, might have higher probability of outgrowing CMA (risk ratio (RR) 2.32; risk difference (RD) 25 more per 100), while showing potentially lower probability of severe vomiting (RR 0.12, 95% CI 0.02 to 0.88; RD 23 fewer per 100, 95% CI 3 to 26) and developing food protein-induced enterocolitis syndrome (FPIES) (RR 0.15, 95% CI 0.03 to 0.82; RD 34 fewer per 100, 95% CI 7 to 39). We also found, however, that eHF-CM might be inferior to AAF in supporting a physiological growth, with respect to both weight (−5.5% from baseline, 95%CI -9.5% to −1.5%) and length (−0.7 z-score change, 95%CI -1.15 to −0.25) (very low certainty). We found similar effects for eHF-CM, compared with AAF, also in non-IgE CMA. When compared with SF, eHF-CM might favor weight gain for IgE CMA infants (0.23 z-score change, 95%CI 0.01 to 0.45), and tolerance acquisition (RR 1.86, 95%CI 1.03 to 3.37; RD 27%, 95%CI 1%–74%) for non-IgE CMA (both at very low certainty of the evidence (CoE)). The comparison of eHF-CM vs. HRF, and HRF vs. SF, showed no difference in effect (very low certainty). For IgE CMA patients, low certainty evidence suggested that adding probiotics ( L. rhamnosus GG, L. casei CRL431 and B. lactis Bb-12) might increase the probability of developing CMA tolerance (RR 2.47, 95%CI 1.03 to 5.93; RD 27%, 95%CI 1%–91%), and reduce the risk of severe wheezing (RR 0.12, 95%CI 0.02 to 0.95; RD -23%, 95%CI -8% to −0.4%). However, in non-IgE CMA infants, the addition of probiotics ( L. rhamnosus GG) showed no significant effect, as supported by low to very low CoE. Conclusions Currently available studies comparing eHF-CM, AAF, HRF, and SF provide very low certainty evidence about their effects in infants with IgE-mediated and non-IgE-mediated CMA. Our review revealed several limitations in the current body of evidence, primarily arising from concerns related to the quality of studies, the limited size of the participant populations and most importantly the lack of diversity and standardization in the compared interventions. It is therefore imperative for future studies to be methodologically rigorous and investigate a broader spectrum of available interventions. We encourage clinicians and researchers to review current World Allergy Organization (WAO) Diagnosis and Rationale for Action against Cow's Milk Allergy (DRACMA) Guidelines for suggestions on how to use milk replacement formulas in clinical practice and what additional research would be the most beneficial.

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)0.011
metaresearch head score (Gemma)0.035
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.023
Threshold uncertainty score0.056

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0110.035
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0080.010
Bibliometrics0.0110.008
Science and technology studies0.0010.001
Scholarly communication0.0030.002
Open science0.0040.002
Research integrity0.0040.002
Insufficient payload (model declined to judge)0.0060.001

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 head0.022
GPT teacher head0.302
Teacher spread0.280 · 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 designSystematic review
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

Citations10
Published2024
Admission routes2
Has abstractyes

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