Evidence map›Paper›PMID 34728408›Full record

ArticleThe journal of allergy and clinical immunology. In practice2022

Impact of Allergic Rhinitis and Asthma on COVID-19 Infection, Hospitalization, and Mortality.

Jianjun Ren, Wendu Pang, Yaxin Luo, Danni Cheng, Ke Qiu, Yufang Rao, Yongbo Zheng, Yijun Dong, Jiajia Peng, Yao Hu and 10 more

Open access · hybridAbstract read
In one paragraph

Article in The journal of allergy and clinical immunology. In practice, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
55citing papers in PubMed, 3 pooled it
14.3field-weighted citation impact, top 1% 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

55 citing papers in PubMed, 3 syntheses or guidelines pooled it, 133 citations in OpenAlex.

  1. Pooled it
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  6. Asthma control and exacerbation risk following SARS-CoV-2 infection in the post-acute COVID-19 phase: a systematic review.Allergy, asthma, and clinical immunology : official journal of the Canadian Society of Allergy and Clinical Immunology · 2026
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  17. Asthma as a risk factor and allergic rhinitis as a protective factor for COVID-19 severity: a case-control study.European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery · 2024
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

20 authors at 5 institutions in 3 countries.

Jianjun RenDepartment of Oto-Rhino-Laryngology, West China Hospital, Sichuan University, Chengdu, China; West China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu, China; Department of Biostatistics, Princess Margaret Cancer Centre and Dalla Lana School of Public Health, Toronto, ON, Canada; Department of Oto-Rhino-Laryngology, Langzhong People's Hospital, Langzhong, China.
Wendu PangDepartment of Oto-Rhino-Laryngology, West China Hospital, Sichuan University, Chengdu, China.
Yaxin LuoDepartment of Epidemiology and Biostatistics, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China.
Danni ChengDepartment of Oto-Rhino-Laryngology, West China Hospital, Sichuan University, Chengdu, China.
Ke QiuDepartment of Oto-Rhino-Laryngology, West China Hospital, Sichuan University, Chengdu, China.
Yufang RaoDepartment of Oto-Rhino-Laryngology, West China Hospital, Sichuan University, Chengdu, China.
Yongbo ZhengDepartment of Oto-Rhino-Laryngology, West China Hospital, Sichuan University, Chengdu, China.
Yijun DongDepartment of Oto-Rhino-Laryngology, West China Hospital, Sichuan University, Chengdu, China.
Jiajia PengDepartment of Oto-Rhino-Laryngology, West China Hospital, Sichuan University, Chengdu, China.
Yao HuWest China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu, China.
Zhiye YingWest China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu, China.
Haopeng YuWest China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu, China.
Xiaoxi ZengWest China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu, China.
Zhiyong ZongDepartment of Infectious Diseases, West China Hospital, Sichuan University, Chengdu, China.
Geoffrey LiuDepartment of Medicine, Division of Medical Oncology and Hematology, Princess Margaret Cancer Center, University Health Network, University of Toronto, Toronto, ON, Canada.
Deyun WangDepartment of Otolaryngology, Yong Loo Lin School of Medicine, National University of Singapore, National University Health System, Singapore, Singapore.
Gang WangDepartment of Respiratory and Critical Care Medicine, Clinical Research Center for Respiratory Disease, West China Hospital, Sichuan University, Chengdu, China.
Wei ZhangWest China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu, China. Electronic address: weizhang27@163.com.
Wei XuDepartment of Biostatistics, Princess Margaret Cancer Centre and Dalla Lana School of Public Health, Toronto, ON, Canada. Electronic address: Wei.Xu@uhnresearch.ca.
Yu ZhaoDepartment of Oto-Rhino-Laryngology, West China Hospital, Sichuan University, Chengdu, China; West China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu, China. Electronic address: yutzhao@VIP.163.com.
Sichuan University · CNWest China Medical Center of Sichuan University · CNNational University of Singapore · SGPrincess Margaret Cancer Centre · CAUniversity Health Network · CA

Funding

Medical Research Council MC_PC_17228Medical Research Council MC_QA137853
6 · The paper itself

Abstract

backgroundIt remains unclear if patients with allergic rhinitis (AR) and/or asthma are susceptible to corona virus disease 2019 (COVID-19) infection, severity, and mortality.

objectiveTo investigate the role of AR and/or asthma in COVID-19 infection, severity, and mortality, and assess whether long-term AR and/or asthma medications affected the outcomes of COVID-19.

methodsDemographic and clinical data of 70,557 adult participants completed SARS-CoV-2 testing between March 16 and December 31, 2020, in the UK Biobank were analyzed. The rates of COVID-19 infection, hospitalization, and mortality in relation to pre-existing AR and/or asthma were assessed based on adjusted generalized linear models. We further analyzed the impact of long-term AR and/or asthma medications on the risk of COVID-19 hospitalization and mortality.

resultsPatients with AR of all ages had lower positive rates of SARS-CoV-2 tests (relative risk [RR]: 0.75, 95% confidence interval [CI]: 0.69-0.81, P < .001), with lower susceptibility in males (RR: 0.74, 95% CI: 0.65-0.85, P < .001) than females (RR: 0.8, 95% CI: 0.72-0.9, P < .001). However, similar effects of asthma against COVID-19 hospitalization were only major in participants aged <65 (RR: 0.93, 95% CI: 0.86-1, P = .044) instead of elderlies. In contrast, patients with asthma tested positively had higher risk of hospitalization (RR: 1.42, 95% CI: 1.32-1.54, P < .001). Neither AR nor asthma had an impact on COVID-19 mortality. None of conventional medications for AR or asthma, for example, antihistamines, corticosteroids, or β2 adrenoceptor agonists, showed association with COVID-19 infection or severity.

conclusionAR (all ages) and asthma (aged <65) act as protective factors against COVID-19 infection, whereas asthma increases risk for COVID-19 hospitalization. None of the long-term medications had a significant association with infection, severity, and mortality of COVID-19 among patients with AR and/or asthma.

Indexed as

AsthmaCOVID-19Rhinitis, AllergicAdultCOVID-19 TestingFemaleHospitalizationHumansMaleSARS-CoV-2Allergic rhinitisAsthmaCOVID-19GlucocorticoidsLong-term medications

Identifiers

PMID34728408
PMCPMC8556867
OpenAlexW3211083157

What OpenQuestion holds

Textmetadata
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.