Evidence map›Paper›PMID 40162580›Full record

ArticlePediatric allergy and immunology : official publication of the European Society of Pediatric Allergy and Immunology2025

The Naples pediatric food allergy (NAPFA) score: A multivariable model for the prediction of food allergy in children.

Laura Carucci, Lorenza Biancardi, Rita Nocerino, Letizia Ciliberti, Erika Caldaria, Giorgio Bedogni, Francesco Palmese, Francesco Calabrò, Roberto Berni Canani

Abstract read
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Article in Pediatric allergy and immunology : official publication of the European Society of Pediatric Allergy and Immunology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

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0cells of the map it votes in
4citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Oral food challenges in FPIES: A narrative review and proposals for emergency and home-based management of acute FPIES reaction.Pediatric allergy and immunology : official publication of the European Society of Pediatric Allergy and Immunology · 2026
    Review
  2. Effectiveness of virtual reality in reducing anxiety, fear, and pain in children undergoing skin prick testing: A crossover study.Pediatric allergy and immunology : official publication of the European Society of Pediatric Allergy and Immunology · 2025
    Article
  3. Review
  4. The Naples pediatric food allergy (NAPFA) score: A multivariable model for the prediction of food allergy in children.Pediatric allergy and immunology : official publication of the European Society of Pediatric Allergy and Immunology · 2025
    Article
4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

9 authors.

Laura CarucciDepartment of Translational Medical Science, University of Naples "Federico II", Naples, Italy.ORCID https://orcid.org/0000-0001-7490-3999
Lorenza BiancardiDepartment of Translational Medical Science, University of Naples "Federico II", Naples, Italy.
Rita NocerinoDepartment of Translational Medical Science, University of Naples "Federico II", Naples, Italy.
Letizia CilibertiDepartment of Translational Medical Science, University of Naples "Federico II", Naples, Italy.
Erika CaldariaDepartment of Translational Medical Science, University of Naples "Federico II", Naples, Italy.
Giorgio BedogniDepartment of Medical and Surgical Sciences, Alma Mater Studiorum-University of Bologna, Bologna, Italy.ORCID https://orcid.org/0000-0002-1495-9306
Francesco PalmeseDepartment of Medical and Surgical Sciences, Alma Mater Studiorum-University of Bologna, Bologna, Italy.
Francesco CalabròDepartment of Mathematics and Applications "Renato Caccioppoli", University of Naples "Federico II", Naples, Italy.ORCID https://orcid.org/0000-0002-1484-0217
Roberto Berni CananiDepartment of Translational Medical Science, University of Naples "Federico II", Naples, Italy.

Funding

Italian Ministry of Education, Universities and Research PE00000003Italian Ministry of Health T5-AN-07
6 · The paper itself

Abstract

backgroundFood allergy (FA) is one of the most common chronic conditions in children. Diagnostic delays and errors in FA are relevant problems in clinical practice. Non-invasive and accessible tools for FA diagnosis are highly required. We aimed to develop an easy-to-use clinical score to facilitate the diagnostic approach for pediatric FA (i.e. the NAPFA score).

methodsSubjects with suspected FA aged 0-14 years were prospectively evaluated at a tertiary center for pediatric allergy, gastroenterology, and nutrition. Upon completing the diagnostic workup, the subjects were diagnosed with FA based on the oral food challenge result, or with other conditions. Bootstrapped multivariable logistic regression was employed to construct two models that estimate the probability of having FA, one (M1) without the results of the allergy screening tests, while the other (M2) including them.

resultsSix hundred and twenty-seven pediatric subjects were included in the study. The median (interquartile interval) age at symptom onset was 8 (3;27) months. M1 employed the following predictors: sex, age at symptoms onset, cesarean delivery, occurrence of atopic dermatitis before FA onset, first degree family members with allergy, symptoms occurrence after ingestion of specific food, and skin, gastrointestinal, respiratory, and systemic symptoms. M2 replaced the occurrence of symptoms after ingestion of specific food with the results of allergy tests. The c-statistic was 0.915 (95% bootstrapped CI: 0.895-0.937) for M1 and 0.977 (95% CI: 0.969-0.992) for M2. Both models demonstrated good internal calibration and a favorable decision analysis curve.

conclusionThe NAPFA score could be an easy-to-use tool holding the potential to streamline the FA diagnostic process in pediatric age, reducing unnecessary testing, and improving patient outcomes in a variety of healthcare settings. Its external validation will possibly enable a standardized approach for identifying children with FA.

Indexed as

Food HypersensitivityAdolescentAllergensChildChild, PreschoolFemaleHumansInfantInfant, NewbornMaleProspective StudiesAllergensanaphylaxisatopy patch testsfood allergy diagnosisfood protein induced enterocolitis syndromeoral food challengeserum specific IgEskin prick tests

Identifiers

PMID40162580
PMCPMC11956138

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.