Evidence map›Paper›PMID 33154029›Full record

ArticleThe European respiratory journal2021

The impact of COVID-19 on patients with asthma.

José Luis Izquierdo, Carlos Almonacid, Yolanda González, Carlos Del Rio-Bermudez, Julio Ancochea, Remedios Cárdenas, Sara Lumbreras, Joan B Soriano

Open access · hybridAbstract readMulticenter Study
In one paragraph

Article in The European respiratory journal, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 115 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
115citing papers in PubMed, 5 pooled it
26.1field-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

115 citing papers in PubMed, 5 syntheses or guidelines pooled it, 230 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Asthma and risk of infection, hospitalization, ICU admission and mortality from COVID-19: Systematic review and meta-analysis.The Journal of asthma : official journal of the Association for the Care of Asthma · 2022
    Pooled it
  4. Guideline
  5. Pooled it
  6. Observational
  7. Review
  8. Article
  9. Article
  10. Prediction model for major bleeding in anticoagulated patients with cancer-associated venous thromboembolism using machine learning and natural language processing.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2025
    Observational
  11. Review
  12. Article
  13. Article
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  15. Article
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  18. Clinical features in patients with COVID-19 treated with biologics for severe asthma.The journal of allergy and clinical immunology. Global · 2024
    Article
  19. Article
  20. Observational

55 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 4 institutions in 1 country.

José Luis IzquierdoRespiratory Medicine, University Hospital of Guadalajara, Guadalajara, Spain.
Carlos AlmonacidDept of Medicine and Medical Specialties, University of Alcalá, Madrid, Spain.
Yolanda GonzálezSavana Medica, Madrid, Spain.
Carlos Del Rio-BermudezSavana Medica, Madrid, Spain.
Julio AncocheaRespiratory Medicine, Hospital Universitario de La Princesa, Madrid, Spain.
Remedios CárdenasAllergy, University Hospital of Guadalajara, Guadalajara, Spain.
Sara LumbrerasSavana Medica, Madrid, Spain.
Joan B SorianoRespiratory Medicine, Hospital Universitario de La Princesa, Madrid, Spain jbsoriano2@gmail.com.ORCID https://orcid.org/0000-0001-9740-2994
Instituto de Salud Carlos III · ESUniversidad de Alcalá · ESHospital Universitario de Guadalajara · ESUniversidad Pontificia Comillas · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAn association between the severity of coronavirus disease 2019 (COVID-19) and the presence of certain chronic conditions has been suggested. However, unlike influenza and other viruses, the disease burden of COVID-19 in patients with asthma has been less evident.

objectiveTo understand the impact of COVID-19 in patients with asthma.

methodsUsing big-data analytics and artificial intelligence through the SAVANA Manager clinical platform, we analysed clinical data from patients with asthma from January 1 to May 10, 2020.

resultsOut of 71 182 patients with asthma, 1006 (1.41%) suffered from COVID-19. Compared to asthmatic individuals without COVID-19, patients with asthma and COVID-19 were significantly older (55

conclusionPatients with asthma and COVID-19 were older and at increased risk due to comorbidity-related factors. ICS and biologics are generally safe and may be associated with a protective effect against severe COVID-19 infection.

Indexed as

AdolescentAdultAgedAsthmaCOVID-19FemaleHumansMaleMiddle AgedRetrospective StudiesYoung Adult

Identifiers

PMID33154029
PMCPMC7651839
OpenAlexW3096610536

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.