Evidence map›Paper›PMID 42364998›Full record

ArticleNature communications2026

Systemic atopy and upper-airway disease define susceptibility to incident asthma after COVID-19 in Korea.

You-Jung Choi, Young-Chan Kim, Sungho Bea, Ju-Young Shin, Hyesung Lee

Abstract read
In one paragraph

Article in Nature communications, 2026. 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

5 authors.

You-Jung Choi *Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea.
Young-Chan Kim *Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea. kim2007@snu.ac.kr.ORCID http://orcid.org/0000-0002-6726-5957
Sungho BeaDivision of Pharmacoepidemiology and Pharmacoeconomics, Brigham and Women's Hospital, Boston, MA, USA.
Ju-Young ShinSchool of Pharmacy, Sungkyunkwan University, Suwon, Republic of Korea.ORCID http://orcid.org/0000-0003-1010-7525
Hyesung LeeDepartment of Medical Informatics, Kangwon National University College of Medicine, Chuncheon, Republic of Korea. hs.lee@kangwon.ac.kr.ORCID http://orcid.org/0000-0001-6556-9984

Funding

Korea Health Industry Development Institute (KHIDI) RS-2024-00410184Ministry of Food and Drug Safety (MFDS) 22183MFDS431
6 · The paper itself

Abstract

Incident asthma is an important respiratory sequela after COVID-19, but it is unclear which allergic phenotypes amplify risk. Using a linked nationwide Korean database of 3,987,182 individuals with confirmed severe acute respiratory syndrome coronavirus 2 infection, we compare claims-based incident asthma in those with pre-existing systemic atopy and/or upper-airway disease (allergic rhinitis, chronic rhinosinusitis, atopic dermatitis or food allergy) versus those without after 1:1 propensity score matching. During follow-up to 31 December 2022, participants with pre-existing disease have higher asthma incidence than matched controls (3.55 vs 2.13 per 1,000 person-years), with a hazard ratio of 1.66 (95% confidence interval 1.58-1.75). Asthma risk is elevated for each condition and increases with greater disease burden. These findings show that pre-existing allergic and upper-airway phenotypes stratify post-COVID incident asthma risk on a national scale, supporting targeted surveillance in high-risk subgroups.

Indexed as

AsthmaCOVID-19AdultDermatitis, AtopicDisease SusceptibilityFemaleFood HypersensitivityHumansIncidenceMaleMiddle AgedPost-Acute COVID-19 SyndromeRepublic of KoreaRhinitis, AllergicRhinosinusitisRisk Factors

Identifiers

PMID42364998
PMCPMC13454191

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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.