Evidence map›Paper›PMID 42266192›Full record

ArticleEuropean clinical respiratory journal2026

Does asthma treatment influence COVID-19 severity? A comparative cohort study of SMART vs. Traditional therapy.

Yunjie Li, Wansu Chen, Rebecca Hill, Jing Zhang, Rebecca Gambatese, Peter N Huynh

Abstract read
In one paragraph

Article in European clinical respiratory journal, 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

6 authors.

Yunjie LiDepartment of Clinical Sciences, Kaiser Permanente Bernard J. Tyson School of Medicine, Pasadena, CA, USA.
Wansu ChenKaiser Permanente Southern California, Research and Evaluation, Pasadena, CA, USA.
Rebecca HillKaiser Permanente Bernard J. Tyson School of Medicine, Office of Research and Scholarship, Pasadena, CA, USA.
Jing ZhangKaiser Permanente Southern California, Research and Evaluation, Pasadena, CA, USA.
Rebecca GambateseKaiser Permanente Bernard J. Tyson School of Medicine, Office of Research and Scholarship, Pasadena, CA, USA.
Peter N HuynhDepartment of Clinical Sciences, Kaiser Permanente Bernard J. Tyson School of Medicine, Pasadena, CA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Asthma is a chronic respiratory condition that can be managed using Single Maintenance and Reliever Therapy (SMART) or traditional therapy with inhaled corticosteroid (ICS)-long-acting beta-agonist (LABA) for maintenance and short-acting beta-agonist (SABA) for relief. This study evaluated whether SMART therapy affects COVID-19 severity compared to traditional therapy among patients with moderate to severe asthma. This retrospective cross-sectional study was conducted at Kaiser Permanente Southern California. Adult patients with moderate to severe asthma and confirmed COVID-19 infection in 2021-2022, were included. COVID-19 severity was classified as mild (outpatient care only) or severe (emergency department visits, hospitalization, ICU admission, or death). Patients were categorized into SMART or traditional therapy groups based on pharmacy records. Multivariable robust Poisson regression was used to adjust for potential confounders. 6,608 patients were included, with 269 (4.1%) receiving SMART and 6,339 (95.9%) receiving traditional therapy. No significant difference in COVID-19 severity was observed between SMART and traditional therapy (adjusted prevalence ratio 1.01, 95% CI: 0.71-1.38). However, higher corticosteroid use was noted in the SMART group (19.0% vs. 13.5%,

Indexed as

asthma controlbudesonideFormoterolsevere COVID-19SMART

Identifiers

PMID42266192
PMCPMC13244500

What OpenQuestion holds

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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.