Evidence map›Paper›PMID 32894581›Full record

ArticleAllergy2021

Predicting food allergy: The value of patient history reinforced.

Sarah A Lyons, André C Knulst, Peter G J Burney, Montserrat Fernandez-Rivas, Barbara K Ballmer-Weber, Laura Barreales, Christian Bieli, Michael Clausen, Ruta Dubakiene, Cristina Fernandez-Perez and 15 more

Open access · hybridAbstract read
In one paragraph

Article in Allergy, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.4field-weighted citation impact, top 20% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 17 citations in OpenAlex.

  1. Observational
  2. Frequency and severity of 192 foods causing food allergy in adults.The journal of allergy and clinical immunology. Global · 2026
    Article
  3. Article
  4. Article
  5. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

25 authors at 15 institutions in 9 countries.

Sarah A LyonsDepartment of Dermatology and Allergology, University Medical Center Utrecht, Utrecht, The Netherlands.ORCID 0000-0001-7128-2699
André C KnulstDepartment of Dermatology and Allergology, University Medical Center Utrecht, Utrecht, The Netherlands.
Peter G J BurneyNational Heart and Lung Institute, Imperial College London, London, UK.
Montserrat Fernandez-RivasAllergy Department, Hospital Clinico San Carlos, IdISSC, ARADyAL, RD16/0006/0009, Madrid, Spain.
Barbara K Ballmer-WeberAllergy Unit, Department of Dermatology, University Hospital of Zürich, Zürich, Switzerland.
Laura BarrealesClinical Epidemiology Unit, Preventive Medicine Department, Hospital Clinico San Carlos, IdISSC, Madrid, Spain.
Christian BieliDepartment of Paediatric Pulmonology, University Children's Hospital, Zürich, Switzerland.
Michael ClausenChildren's Hospital, Landspitali University Hospital, Reykjavik, Iceland.
Ruta DubakieneMedical Faculty, Vilnius University, Vilnius, Lithuania.
Cristina Fernandez-PerezClinical Epidemiology Unit, Preventive Medicine Department, Hospital Clinico San Carlos, IdISSC, Madrid, Spain.
Monika Jedrzejczak-CzechowiczDepartment of Immunology, Rheumatology and Allergy, Faculty of Medicine, Medical University of Lodz, Lodz, Poland.
Marek L KowalskiDepartment of Immunology, Rheumatology and Allergy, Faculty of Medicine, Medical University of Lodz, Lodz, Poland.ORCID 0000-0002-8442-2774
Ischa KummelingNational Heart and Lung Institute, Imperial College London, London, UK.
Tanya KralimarkovaClinical Centre of Allergology of the Alexandrovska Hospital, Medical University of Sofia, Sofia, Bulgaria.
Tihomir B MustakovClinical Centre of Allergology of the Alexandrovska Hospital, Medical University of Sofia, Sofia, Bulgaria.
Harmieke van Os-MedendorpDepartment of Dermatology and Allergology, University Medical Center Utrecht, Utrecht, The Netherlands.
Nikolaos G PapadopoulosAllergy Department, 2nd Pediatric Clinic, University of Athens, Athens, Greece.
Todor A PopovUniversity Hospital Sv. Ivan Rilski, Sofia, Bulgaria.
James PottsNational Heart and Lung Institute, Imperial College London, London, UK.
Serge A VersteegDepartment of Experimental Immunology, Amsterdam University Medical Center, Amsterdam, The Netherlands.
Paraskevi XepapadakiAllergy Department, 2nd Pediatric Clinic, University of Athens, Athens, Greece.ORCID 0000-0001-9204-1923
Paco M J WelsingDivision of Internal Medicine and Dermatology, University Medical Center Utrecht, Utrecht University, The Netherlands.
Clare MillsDivision of Infection, Immunity and Respiratory Medicine, Manchester Institute of Biotechnology & Lydia Becker Institute of Immunology and Inflammation, University of Manchester, Manchester, UK.
Ronald van ReeDepartment of Experimental Immunology, Amsterdam University Medical Center, Amsterdam, The Netherlands.
Thuy-My LeDepartment of Dermatology and Allergology, University Medical Center Utrecht, Utrecht, The Netherlands.
Hospital Clínico San Carlos · ESImperial College London · GBUniversity Medical Center Utrecht · NLAlexandrovska Hospital · BGAmsterdam University Medical Centers · NLMedical University of Lodz · PLNational and Kapodistrian University of Athens · GRNational University Hospital of Iceland · ISSaxion · NLUniversity Children's Hospital Zurich · CHUniversity Hospital St. Ivan Rilski · BGUniversity of Manchester · GBUniversity of Zurich · CHUtrecht University · NLVilnius University · LT

Funding

Biotechnology and Biological Sciences Research Council BBS/E/F/00041800
6 · The paper itself

Abstract

backgroundEAACI guidelines emphasize the importance of patient history in diagnosing food allergy (FA) and the need for studies investigating its value using standardized allergy-focused questionnaires.

objectiveTo determine the contribution of reaction characteristics, allergic comorbidities and demographics to prediction of FA in individuals experiencing food-related adverse reactions.

methodsAdult and school-age participants in the standardized EuroPrevall population surveys, with self-reported FA, were included. Penalized multivariable regression was used to assess the association of patient history determinants with "probable" FA, defined as a food-specific case history supported by relevant IgE sensitization.

resultsIn adults (N = 844), reproducibility of reaction (OR 1.35 [95% CI 1.29-1.41]), oral allergy symptoms (OAS) (4.46 [4.19-4.75]), allergic rhinitis (AR) comorbidity (2.82 [2.68-2.95]), asthma comorbidity (1.38 [1.30-1.46]) and male sex (1.50 [1.41-1.59]) were positively associated with probable FA. Gastrointestinal symptoms (0.88 [0.85-0.91]) made probable FA less likely. The AUC of a model combining all selected predictors was 0.85 after cross-validation. In children (N = 670), OAS (2.26 [2.09-2.44]) and AR comorbidity (1.47 [CI 1.39-1.55]) contributed most to prediction of probable FA, with a combined cross-validation-based AUC of 0.73. When focusing on plant foods, the dominant source of FA in adults, the pediatric model also included gastrointestinal symptoms (inverse association), and the AUC increased to 0.81.

conclusionsIn both adults and school-age children from the general population, reporting of OAS and of AR comorbidity appear to be the strongest predictors of probable FA. Patient history particularly allows for good discrimination between presence and absence of probable plant FA.

Indexed as

AsthmaFood HypersensitivityAdultAllergensChildHumansMalePrevalenceReproducibility of ResultsAllergensEuropefood allergyfood sensitizationpatient historyprediction

Identifiers

PMID32894581
PMCPMC8246712
OpenAlexW3084057561

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

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.