Evidence map›Paper›PMID 41084878›Full record

ArticleJournal of Korean medical science2025

Risk of Stroke in COVID-19 Survivors With Asthma: A Nationwide, Population-Based Cohort Study.

Sungmin Zo, Youlim Kim, Jong Seung Kim, Min Gu Kang, Ji-Yong Moon, Jongkyu Park, Sang-Heon Kim, Kwang Ha Yoo, Ho Joo Yoon, Kyung Hoon Min and 1 more

Abstract read
In one paragraph

Article in Journal of Korean medical science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

11 authors.

Sungmin Zo *Division of Respiratory and Critical Care Medicine, Department of Internal Medicine, Korea University Anam Hospital, Korea University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0001-5993-8501
Youlim Kim *Division of Pulmonary and Allergy, Department of Internal Medicine, Konkuk University Hospital, School of Medicine, Konkuk University, Seoul, Korea.ORCID https://orcid.org/0000-0001-7600-1200
Jong Seung Kim *Department of Medical Informatics, Jeonbuk National University Medical School, Jeonju, Korea.ORCID https://orcid.org/0000-0002-8416-3872
Min Gu KangDepartment of Medical Informatics, Jeonbuk National University Medical School, Jeonju, Korea.ORCID https://orcid.org/0000-0001-5273-0089
Ji-Yong MoonDivision of Pulmonary and Allergy, Department of Internal Medicine, Konkuk University Hospital, School of Medicine, Konkuk University, Seoul, Korea.ORCID https://orcid.org/0000-0003-2459-3448
Jongkyu ParkDepartment of Neurology, Soonchunhyang University Cheonan Hospital, Soonchunhyang University College of Medicine, Cheonan, Korea.ORCID https://orcid.org/0000-0002-9261-790X
Sang-Heon KimDepartment of Internal Medicine, Hanyang University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0001-8398-4444
Kwang Ha YooDivision of Pulmonary and Allergy, Department of Internal Medicine, Konkuk University Hospital, School of Medicine, Konkuk University, Seoul, Korea.ORCID https://orcid.org/0000-0001-9969-2657
Ho Joo YoonDepartment of Internal Medicine, Hanyang University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0002-4645-4863
Kyung Hoon MinDivision of Respiratory and Critical Care Medicine, Department of Internal Medicine, Korea University Guro Hospital, Korea University College of Medicine, Seoul, Korea. minkyunghoon@korea.ac.kr.ORCID https://orcid.org/0000-0003-0610-2182
Hyun LeeDepartment of Internal Medicine, Hanyang University College of Medicine, Seoul, Korea. namuhanayeyo@naver.com.ORCID https://orcid.org/0000-0002-1269-0913

Funding

Hanyang University HY-202500000001668National Research Foundation of Korea RS-2025-00514175National Research Foundation of Korea RS-2025-00557268
6 · The paper itself

Abstract

backgroundThe impact of coronavirus disease 2019 (COVID-19) on stroke risk in adult individuals with asthma post-recovery remains unclear.

methodsUsing a longitudinal retrospective cohort design based on the Korean National Health Insurance Service claims database, we analyzed stroke risk in two parts. Study 1 examined stroke risk in individuals with asthma according to COVID-19 severity, and Study 2 compared stroke risk between individuals with asthma (asthma cohort) and the general population without asthma (general population cohort), considering COVID-19 severity. Both studies used propensity score matching and Cox proportional hazards regression models for risk estimation.

resultsIn Study 1, which evaluated stroke risk in the asthma cohort, the risk of stroke was significantly higher in the asthma cohort with severe COVID-19 compared to the asthma cohort without COVID-19 (adjusted hazard ratio [aHR], 1.88; 95% confidence interval [CI], 1.02-3.46). In Study 2, which evaluated stroke risk across six groups stratified by asthma status (asthma cohort and general population cohort) and COVID-19 severity (no, non-severe, and severe COVID-19), stroke risk was highest in the asthma cohort with severe COVID-19 (aHR, 3.42; 95% CI, 1.72-6.79, referring to the general population group without COVID-19), suggesting that severe COVID-19 has a more substantial effect on stroke risk in individuals with asthma.

conclusionThis study highlights a significant association between severe COVID-19 and stroke occurrence in adults with asthma, emphasizing the need for ongoing stroke monitoring to improve long-term asthma outcomes during the COVID-19 endemic period.

Indexed as

AsthmaCOVID-19StrokeAdultAgedFemaleHumansLongitudinal StudiesMaleMiddle AgedPropensity ScoreProportional Hazards ModelsRepublic of KoreaRetrospective StudiesRisk FactorsSARS-CoV-2AsthmaComparisonCOVID-19General PopulationRiskStroke

Identifiers

PMID41084878
PMCPMC12518756

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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.