Evidence map›Paper›PMID 40008091›Full record

ArticleThe journal of allergy and clinical immunology. Global2025

Association of delayed asthma diagnosis with asthma exacerbations in children.

Chung-Il Wi, Euijung Ryu, Katherine S King, Jung Hyun Kwon, Joshua T Bublitz, Miguel Park, Sergio E Chiarella, Jason D Greenwood, Thanai Pongdee, Lynnea Myers and 10 more

Abstract read
In one paragraph

Article in The journal of allergy and clinical immunology. Global, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

20 authors.

Chung-Il WiDepartment of Pediatric and Adolescent Medicine, Mayo Clinic, Rochester, Minn.
Euijung RyuPrecision Population Science Lab, Mayo Clinic, Rochester, Minn.
Katherine S KingPrecision Population Science Lab, Mayo Clinic, Rochester, Minn.
Jung Hyun KwonPrecision Population Science Lab, Mayo Clinic, Rochester, Minn.
Joshua T BublitzDivision of Clinical Trial and Biostatistics, Mayo Clinic, Rochester, Minn.
Miguel ParkDivision of Allergic Diseases, Mayo Clinic, Rochester, Minn.
Sergio E ChiarellaDivision of Allergic Diseases, Mayo Clinic, Rochester, Minn.
Jason D GreenwoodDepartment of Family Medicine, Mayo Clinic, Rochester, Minn.
Thanai PongdeeDivision of Allergic Diseases, Mayo Clinic, Rochester, Minn.
Lynnea MyersPrecision Population Science Lab, Mayo Clinic, Rochester, Minn.
Björn NordlundWomen's and Children's Health, Karolinska Institutet, Stockholm, Sweden.
Sunghwan SohnDepartment of Artificial Intelligence and Informatics, Mayo Clinic, Rochester, Minn.
Elham SaghebDepartment of Artificial Intelligence and Informatics, Mayo Clinic, Rochester, Minn.
Bhavani Singh Agnikula KshatriyaCenter for Digital Health, Mayo Clinic, Rochester, Minn.
Dave WatsonPrecision Population Science Lab, Mayo Clinic, Rochester, Minn.
Hongfang LiuDepartment of Artificial Intelligence and Informatics, Mayo Clinic, Rochester, Minn.
Beverley J ShearesSection of Pulmonary, Allergy/Immunology, and Sleep Medicine, Department of Pediatrics, Yale School of Medicine, New Haven, Conn.
Carla M DavisDivision of Immunology, Allergy, and Retrovirology, Baylor College of Medicine, Houston, Tex.
Wade SchulzInformatics Section, Department of Informatics Laboratory Medicine, Yale School of Medicine, New Haven, Conn.
Young J JuhnDepartment of Pediatric and Adolescent Medicine, Mayo Clinic, Rochester, Minn.

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Identification and characterization of children with asthma-associated comorbidities through computational and immune phenotypingR01HL126667 · NHLBI · MAYO CLINIC ROCHESTER · PI JUHN, YOUNG J, LIU, HONGFANG · 2015 to 2022
$4.3M
NCATS NIH HHS UL1 TR001863NHLBI NIH HHS R01 HL126667
6 · The paper itself

Abstract

Background: There is a significant delay between symptom onset and diagnosis of childhood asthma, but the impact of this delay on asthma outcomes has not been well understood. Objectives: We sought to study the association of delayed diagnosis of asthma with asthma exacerbations (AEs) in children. Methods: Using the Mayo Clinic birth cohort, we identified children with a diagnosis of asthma from electronic health records. We defined onset date as the date when subjects first met predetermined asthma criteria ascertained by an electronic health records-based natural language processing algorithm. Delay in diagnosis (DD) was defined as first diagnosis >30 days from onset date (vs timely diagnosis [TD] within 30 days). The primary outcome was AE after the index date (for DD: first diagnosis date vs for TD: clinic visit at similar delay from diagnosis as matched DD counterpart). A Cox proportional hazard model was used to test the association between delayed diagnosis status and risk of AE, adjusting for sociodemographics, care quality, and asthma severity. Results: Among 537 matched pairs of DD and TD (median age at index date: 4.1 years), a total of 344 and 253 children in DD and TD, respectively, had ≥1 AE during median follow-up period of 9.3 years. Children in the DD group had a significantly increased risk of AE compared to TD (adjusted hazard ratio: 1.53; 95% CI: 1.28, 1.80; Conclusions: DD of asthma in children is associated with an increased risk of AE compared to TD. TD of asthma should be an important priority in childhood asthma management.

Indexed as

asthmacare qualityDiagnosis delaydigital phenotypingexacerbationoutcomespediatrics

Identifiers

PMID40008091
PMCPMC11851198

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.