Evidence map›Paper›PMID 35274143›Full record

ArticlePediatrics2022

Asthma and the Risk of SARS-CoV-2 Infection Among Children and Adolescents.

Saahithi Rao, Jillian H Hurst, Congwen Zhao, Benjamin A Goldstein, Laine Thomas, Jason E Lang, Matthew S Kelly

Open access · greenAbstract read
In one paragraph

Article in Pediatrics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.9field-weighted citation impact, top 13% 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

11 citing papers in PubMed, 19 citations in OpenAlex.

  1. Review
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  11. Impact of COVID-19 in Children with Chronic Lung Diseases.International journal of environmental research and public health · 2022
    Review
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

7 authors at 3 institutions in 1 country.

Saahithi RaoDepartments of Biostatistics and Bioinformatics.
Jillian H HurstChildren's Health & Discovery Initiative.
Congwen ZhaoDepartments of Biostatistics and Bioinformatics.
Benjamin A GoldsteinChildren's Health & Discovery Initiative.
Laine ThomasDepartments of Biostatistics and Bioinformatics.
Jason E LangPulmonary and Sleep Medicine.
Matthew S KellyPediatrics, Divisions of Infectious Diseases.
Duke University · USOffice of Infectious Diseases · USClinical Research Institute · US

Funding

Duke CTSA (Composite)UL1TR001117 · NCATS · DUKE UNIVERSITY · PI BOULWARE, LEIGH E, LI, JENNIFER S · 2013 to 2017
$41.3M
Nasopharyngeal Microbiome and Risk of Bacterial Pathogen Colonization in InfantsK23AI135090 · NIAID · DUKE UNIVERSITY · PI KELLY, MATTHEW SCOTT · 2018 to 2022
$860k
Multifactorial spatiotemporal analyses to evaluate environmental triggers and patient-level clinical characteristics of severe asthma exacerbations in childrenR21HL145415 · NHLBI · DUKE UNIVERSITY · PI GOLDSTEIN, BENJAMIN ALAN, LANG, JASON E. · 2019 to 2020
$241k
NCATS NIH HHS UL1 TR001117NHLBI NIH HHS R21 HL145415NIAID NIH HHS K23 AI135090
6 · The paper itself

Abstract

objectivesOver 6 million pediatric severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infections have occurred in the United States, but risk factors for infection remain poorly defined. We sought to evaluate the association between asthma and SARS-CoV-2 infection risk among children.

methodsWe conducted a retrospective cohort study of children 5 to 17 years of age receiving care through the Duke University Health System and who had a Durham County, North Carolina residential address. Children were classified as having asthma using previously validated electronic health record-based definitions. SARS-CoV-2 infections were identified based on positive polymerase chain reaction testing of respiratory samples collected between March 1, 2020, and September 30, 2021. We matched children with asthma 1:1 to children without asthma, using propensity scores and used Poisson regression to evaluate the association between asthma and SARS-CoV-2 infection risk.

resultsOf 46 900 children, 6324 (13.5%) met criteria for asthma. Children with asthma were more likely to be tested for SARS-CoV-2 infection than children without asthma (33.0% vs 20.9%, P < .0001). In a propensity score-matched cohort of 12 648 children, 706 (5.6%) children tested positive for SARS-CoV-2 infection, including 350 (2.8%) children with asthma and 356 (2.8%) children without asthma (risk ratio: 0.98, 95% confidence interval: 0.85-1.13. There was no evidence of effect modification of this association by inhaled corticosteroid prescription, history of severe exacerbation, or comorbid atopic diseases. Only 1 child with asthma required hospitalization for SARS-CoV-2 infection.

conclusionsAfter controlling for factors associated with SARS-CoV-2 testing, we found that children with asthma have a similar SARS-CoV-2 infection risk as children without asthma.

Indexed as

AsthmaCOVID-19AdolescentChildCOVID-19 TestingHumansRetrospective StudiesSARS-CoV-2United States

Identifiers

PMID35274143
PMCPMC9647583
OpenAlexW4220911828

What OpenQuestion holds

Textmetadata
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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.