Evidence map›Paper›PMID 38528385›Full record

ArticleAllergy, asthma & immunology research2024

Predicting the Outcome of Pediatric Oral Food Challenges for Determining Tolerance Development.

Hamin Kim, Kyunguk Jeong, Mireu Park, Yun Young Roh, Jae Hwa Jung, Soo Yeon Kim, Jong Deok Kim, Min Jung Kim, Yoon Hee Kim, Myung Hyun Sohn and 2 more

Open access · diamondAbstract read
In one paragraph

Article in Allergy, asthma & immunology research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.5field-weighted citation impact, top 19% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

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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

12 authors at 3 institutions in 1 country.

Hamin KimDepartment of Pediatrics, Severance Hospital, Institute of Allergy, Institute for Innovation in Digital Healthcare, Yonsei University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0002-0601-7300
Kyunguk JeongDepartment of Pediatrics, Ajou University School of Medicine, Suwon, Korea.ORCID https://orcid.org/0000-0002-1261-4507
Mireu ParkDepartment of Pediatrics, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0003-4342-6143
Yun Young RohDepartment of Pediatrics, Severance Hospital, Institute of Allergy, Institute for Innovation in Digital Healthcare, Yonsei University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0002-8751-6784
Jae Hwa JungDepartment of Pediatrics, Severance Hospital, Institute of Allergy, Institute for Innovation in Digital Healthcare, Yonsei University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0001-7443-9073
Soo Yeon KimDepartment of Pediatrics, Severance Hospital, Institute of Allergy, Institute for Innovation in Digital Healthcare, Yonsei University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0003-4965-6193
Jong Deok KimDepartment of Pediatrics, Severance Hospital, Institute of Allergy, Institute for Innovation in Digital Healthcare, Yonsei University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0002-4266-5655
Min Jung KimDepartment of Pediatrics, Yongin Severance Hospital, Yonsei University College of Medicine, Yongin, Korea.ORCID https://orcid.org/0000-0002-5634-9709
Yoon Hee KimDepartment of Pediatrics, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0002-2149-8501
Myung Hyun SohnDepartment of Pediatrics, Severance Hospital, Institute of Allergy, Institute for Innovation in Digital Healthcare, Yonsei University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0002-2478-487X
Sooyoung LeeDepartment of Pediatrics, Ajou University School of Medicine, Suwon, Korea.ORCID https://orcid.org/0000-0003-1734-4101
Kyung Won KimDepartment of Pediatrics, Severance Hospital, Institute of Allergy, Institute for Innovation in Digital Healthcare, Yonsei University College of Medicine, Seoul, Korea. kwkim@yuhs.ac.ORCID https://orcid.org/0000-0003-4529-6135
Severance Hospital · KRYonsei University · KRAjou University · KR

Funding

National Research Foundation of Korea 2022R1A2C1010462
6 · The paper itself

Abstract

purposeDespite the risk of anaphylaxis, oral food challenges (OFCs) are performed clinically for various indications, particularly to confirm tolerance development. This study aimed to assess OFCs by relevant indications and build an outcome prediction model to help determine when to perform OFCs in children who are likely to have developed immune tolerance.

methodsIn total, 432 pediatric OFCs were retrospectively analyzed according to indications. Clinical characteristics, serum total immunoglobulin (Ig) E, blood eosinophils, and specific IgE and IgG4 levels for food allergens were noted and compared. Machine learning was utilized to select the most important variables in determining the passage of the OFCs, and prediction models were constructed using the selected variables.

resultsOFCs were most commonly performed to confirm tolerance development (number, %; 267, 61.8%). The most common food allergens tested were egg (191, 44.2%) and milk (135, 31.3%). Children who passed the egg challenges for confirming tolerance acquisition had significantly lower egg white-specific IgE level (

conclusionsSerum total IgE and food-specific IgE combined with age showed trends toward passing OFCs for confirming tolerance development. The constructed model may be used by clinicians as a practical guide for minimizing the risks of OFCs and a timely reintroduction for children with food allergies.

Indexed as

egg hypersensitivityFood hypersensitivitymachine learningmilk hypersensitivity

Identifiers

PMID38528385
PMCPMC10973639
OpenAlexW4393091400

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.