Evidence map›Paper›PMID 40262039›Full record

ReviewCurrent opinion in allergy and clinical immunology2025

Common data elements for food allergy clinical trials: an overview.

Shruti Sehgal, Justin Starren, Kyle Cattin, Lucy Bilaver, Anupama Gururaj, Alkis Togias, Ruchi S Gupta

Abstract readReview
In one paragraph

Review in Current opinion in allergy and clinical immunology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Shruti SehgalCenter for Food Allergy and Asthma Research; Northwestern University Feinberg School of Medicine; Chicago, Illinois.
Justin StarrenUniversity of Arizona, Tucson, Arizona.
Kyle CattinCenter for Food Allergy and Asthma Research; Northwestern University Feinberg School of Medicine; Chicago, Illinois.
Lucy BilaverCenter for Food Allergy and Asthma Research; Northwestern University Feinberg School of Medicine; Chicago, Illinois.
Anupama GururajDivision of Allergy, Immunology and Transplantation, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, Maryland.
Alkis TogiasDivision of Allergy, Immunology and Transplantation, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, Maryland.
Ruchi S GuptaCenter for Food Allergy and Asthma Research; Northwestern University Feinberg School of Medicine; Chicago, Illinois.

Funding

FORWARD Supplement Standardizing EHR Data CollectionR01AI130348 · NIAID · NORTHWESTERN UNIVERSITY AT CHICAGO · PI Ruchi S Gupta · 2017 to 2026
$10.9M
NIAID NIH HHS R01 AI130348
6 · The paper itself

Abstract

purpose of reviewFood allergy represents a major public health issue, affecting about 8% of children and 11% of adults in the United States. Research in the field has rapidly expanded but is limited by a lack of standardized data fields or common data elements (CDEs) to record food allergy data. The present review focuses on the need for developing CDEs for food allergy, and their anticipated impact, as well as describes the central tenets of CDEs. RECENT

findingsStandardization of data definitions and consistency in data collection within a study and across multiple studies is a fundamental principle of clinical research. Several NIH centers have been collaborating to support the development of CDEs, thereby promoting the FAIR principles for clinical research. SUMMARY: The population health burden of food allergies continues to rise in the absence of a standardized language for documenting food allergy clinical research data. Development and implementation of food allergy CDEs is needed both nationally and globally, to better understand and reduce the burden of this immune-mediated disease. When adopted, these CDEs will not only improve data consistency and interoperability but also speed up and improve the quality of future food allergy clinical trials.

Indexed as

Clinical Trials as TopicFood HypersensitivityChildData CollectionHumansUnited Statescommon data elementsfood allergyfood allergy clinical trialsNIH CDE repository

Identifiers

PMID40262039
PMCPMC12043398

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.