Evidence map›Paper›PMID 31923546›Full record

ReviewAnnals of allergy, asthma & immunology : official publication of the American College of Allergy, Asthma, & Immunology2020

Reaction phenotypes in IgE-mediated food allergy and anaphylaxis.

Kok Wee Chong, Monica Ruiz-Garcia, Nandinee Patel, Robert J Boyle, Paul J Turner

Open access · hybridAbstract readReview
In one paragraph

Review in Annals of allergy, asthma & immunology : official publication of the American College of Allergy, Asthma, & Immunology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
4.6field-weighted citation impact, top 4% 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

25 citing papers in PubMed, 49 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Review
  6. A murine model of peanut-allergic asthma.Frontiers in allergy · 2024
    Article
  7. The future of food allergy diagnosis.Frontiers in allergy · 2024
    Review
  8. Will Oral Food Challenges Still Be Part of Allergy Care in 10 Years' Time?The journal of allergy and clinical immunology. In practice · 2023
    Review
  9. Review
  10. Article
  11. Article
  12. Anaphylaxis knowledge gaps and future research priorities: A consensus report.The Journal of allergy and clinical immunology · 2022
    Article
  13. Article
  14. The 2020 update on anaphylaxis in paediatric population.Postepy dermatologii i alergologii · 2022
    Review
  15. Review
  16. Article
  17. Review
  18. Observational
  19. Article
  20. Review
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

5 authors at 1 institution in 3 countries.

Kok Wee ChongSection of Inflammation, Repair, and Development, National Heart and Lung Institute, Imperial College London, London, United Kingdom; Allergy Service, Department of Paediatric Medicine, KK Women's and Children's Hospital, Singapore.
Monica Ruiz-GarciaSection of Inflammation, Repair, and Development, National Heart and Lung Institute, Imperial College London, London, United Kingdom.
Nandinee PatelSection of Inflammation, Repair, and Development, National Heart and Lung Institute, Imperial College London, London, United Kingdom.
Robert J BoyleSection of Inflammation, Repair, and Development, National Heart and Lung Institute, Imperial College London, London, United Kingdom.
Paul J TurnerSection of Inflammation, Repair, and Development, National Heart and Lung Institute, Imperial College London, London, United Kingdom; Discipline of Paediatrics and Child Health, School of Medicine, University of Sydney, Sydney, Australia. Electronic address: p.turner@imperial.ac.uk.
Imperial College London · GB

Funding

Medical Research Council MR/K010468/1
6 · The paper itself

Abstract

objectiveFood allergy encompasses a range of food hypersensitivities. Different clinical phenotypes for food allergy likely exist in much the same way as endotype discovery is now a major research theme in asthma. We discuss the emerging evidence for different reaction phenotypes (ie, symptoms experienced after allergen exposure in food allergic individuals) and their relevance for clinical practice. DATA SOURCES: Published and unpublished literature relating to reaction phenotypes in food allergy. STUDY SELECTIONS: Authors assessment of the available data.

resultsFood anaphylaxis may be pathophysiologically different than anaphylaxis caused by nonfood triggers. Currently, there are no robust, clinically useful predictors of severity in food allergy. It is likely that patient-specific reaction phenotypes exist in food allergy, which may affect the risk of severe anaphylaxis. Allergen immunotherapy may modulate these phenotypes.

conclusionData are emerging to confirm our clinical experience that many food allergic patients experience stereotypical symptoms after allergen exposure, both in the community and at supervised oral food challenge, in a manner that varies among patients. Integrating data sets from different cohorts and applying unbiased machine-based learning analyses may demonstrate specific food allergy endotypes in a similar way to asthma. Whether this results in improvements in patient management (eg, through facilitating risk stratification or affecting the decision to prescribe an epinephrine autoinjector and, perhaps, the number of devices) remains to be determined, but given our current inability to predict which patients are most at risk of severe food allergic reactions, this will clearly be an important area of research in the future.

Indexed as

AllergensAnaphylaxisAnimalsFoodFood HypersensitivityHumansImmunoglobulin EPhenotypeAllergensImmunoglobulin E

Identifiers

PMID31923546
PMCPMC7251627
OpenAlexW2999184051

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.