Evidence map›Paper›PMID 35960650›Full record

Trial reportAllergy2022

Predicting probability of tolerating discrete amounts of peanut protein in allergic children using epitope-specific IgE antibody profiling.

Maria Suprun, Paul Kearney, Clive Hayward, Heather Butler, Robert Getts, Scott H Sicherer, Paul J Turner, Dianne E Campbell, Hugh A Sampson

Open access · hybridAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Allergy, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
6.2field-weighted citation impact, top 2% 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

20 citing papers in PubMed, 1 synthesis or guideline pooled it, 47 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Trial
  4. Review
  5. FAD: a comprehensive database merging information about food allergens.Database : the journal of biological databases and curation · 2026
    Article
  6. Review
  7. Article
  8. Review
  9. Review
  10. Review
  11. Review
  12. Article
  13. Article
  14. Article
  15. Can artificial intelligence (AI) replace oral food challenge?The Journal of allergy and clinical immunology · 2024
    Article
  16. Review
  17. CD23Science translational medicine · 2024
    Article
  18. Peptide immunotherapy for aeroallergens.Allergy and asthma proceedings · 2023
    Article
  19. Review
  20. 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
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

9 authors at 4 institutions in 3 countries.

Maria SuprunIcahn School of Medicine at Mount Sinai, New York, New York, USA.ORCID 0000-0001-9161-4021
Paul KearneyAllerGenis LLC, Hatfield, Pennsylvania, USA.
Clive HaywardAllerGenis LLC, Hatfield, Pennsylvania, USA.
Heather ButlerAllerGenis LLC, Hatfield, Pennsylvania, USA.
Robert GettsAllerGenis LLC, Hatfield, Pennsylvania, USA.
Scott H SichererIcahn School of Medicine at Mount Sinai, New York, New York, USA.ORCID 0000-0003-0036-0439
Paul J TurnerNational Heart & Lung Institute, Imperial College London, England, UK.ORCID 0000-0001-9862-5161
Dianne E CampbellThe University of Sydney, Sydney, New South Wales, Australia.
Hugh A SampsonIcahn School of Medicine at Mount Sinai, New York, New York, USA.
Allergan (United States) · USIcahn School of Medicine at Mount Sinai · USLung Institute · USThe University of Sydney · AU

Funding

Mechanistic CoreU19AI066738 · NIAID · MOUNT SINAI SCHOOL OF MEDICINE OF NYU · PI WOOD, ROBERT A · 2005 to 2016
$43.6M
Food Allergy Research Consortium and Statistical CenterU01AI066560 · NIAID · THE EMMES COMPANY, LLC · PI DAWSON, PETER RUSSELL, LINDBLAD, ROBERT · 2005 to 2016
$12.8M
Threshold, Severity, and Immunotherapy of Peanut AllergyU19AI136053 · NIAID · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI BUNYAVANICH, SUPINDA, SICHERER, SCOTT H · 2018 to 2023
$9.1M
Medical Research CouncilMedical Research Council MR/K010468/1NIAID NIH HHS AI-066738NIAID NIH HHS U01 AI066560NIAID NIH HHS U01AI066560NIAID NIH HHS U19AI066738NIAID NIH HHS U19 AI136053
6 · The paper itself

Abstract

backgroundIgE-epitope profiling can accurately diagnose clinical peanut allergy.

objectiveWe sought to determine whether sequential (linear) epitope-specific IgE (ses-IgE) profiling can provide probabilities of tolerating discrete doses of peanut protein in allergic subjects undergoing double-blind, placebo-controlled food challenges utilizing PRACTALL dosing.

methodsSixty four ses-IgE antibodies were quantified in blood samples using a bead-based epitope assay. A pair of ses-IgEs that predicts Cumulative Tolerated Dose (CTD) was determined using regression in 75 subjects from the discovery cohort. This epitope-based predictor was validated on 331 subjects from five independent cohorts (ages 4-25 years). Subjects were grouped based on their predicted values and probabilities of reactions at each CTD threshold were calculated.

resultsIn discovery, an algorithm using two ses-IgE antibodies was correlated with CTDs (rho = 0.61, p < .05); this correlation was 0.51 (p < .05) in validation. Using the ses-IgE-based predictor, subjects were assigned into "high," "moderate," or "low" dose-reactivity groups. On average, subjects in the "high" group were four times more likely to tolerate a specific dose, compared with the "low" group. For example, predicted probabilities of tolerating 4, 14, 44, and 144 or 444 mg in the "low" group were 92%, 77%, 53%, 29%, and 10% compared with 98%, 95%, 94%, 88%, and 73% in the "high" group.

conclusionsAccurate predictions of food challenge thresholds are complex due to factors including limited responder sample sizes at each dose and variations in study-specific challenge protocols. Despite these limitations, an epitope-based predictor was able to accurately identify CTDs and may provide a useful surrogate for peanut challenges.

Indexed as

ArachisPeanut HypersensitivityAdolescentAdultAllergensChildChild, PreschoolEpitopesHumansImmunoglobulin EProbabilityYoung AdultAllergensEpitopesImmunoglobulin Eallergy diagnosisCTDDBPCFCepitopeIgEOFCpeanut allergy

Identifiers

PMID35960650
PMCPMC10286745
OpenAlexW4290861711

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

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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.