Evidence map›Paper›PMID 31803947›Full record

ArticleAllergy2020

Subphenotypes of nonsteroidal antiinflammatory disease-exacerbated respiratory disease identified by latent class analysis.

Natalia Celejewska-Wójcik, Krzysztof Wójcik, Maria Ignacak-Popiel, Adam Ćmiel, Katarzyna Tyrak, Anna Gielicz, Aleksander Kania, Paweł Nastałek, Marek Sanak, Lucyna Mastalerz

Open access · hybridAbstract read
In one paragraph

Article in Allergy, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
2.9field-weighted citation impact, top 9% 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

21 citing papers in PubMed, 44 citations in OpenAlex.

  1. Article
  2. Article
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  4. Article
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  7. Review
  8. Low Prostaglandin EJournal of clinical medicine · 2024
    Review
  9. Article
  10. Understanding Inflammatory Heterogeneity in NSAID-Exacerbated Respiratory Disease.The journal of allergy and clinical immunology. In practice · 2024
    Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Biomarkers for predicting response to aspirin therapy in aspirin-exacerbated respiratory disease.Clinical and experimental allergy : journal of the British Society for Allergy and Clinical Immunology · 2021
    Article
  16. Review
  17. Inflammatory heterogeneity in aspirin-exacerbated respiratory disease.The Journal of allergy and clinical immunology · 2021
    Article
  18. Review
  19. Article
  20. 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

10 authors at 2 institutions in 1 country.

Natalia Celejewska-WójcikII Department of Internal Medicine, Faculty of Medicine, Jagiellonian University Medical College, Cracow, Poland.
Krzysztof WójcikII Department of Internal Medicine, Faculty of Medicine, Jagiellonian University Medical College, Cracow, Poland.
Maria Ignacak-PopielII Department of Internal Medicine, Faculty of Medicine, Jagiellonian University Medical College, Cracow, Poland.
Adam ĆmielDepartment of Applied Mathematics, AGH University of Science and Technology, Cracow, Poland.
Katarzyna TyrakII Department of Internal Medicine, Faculty of Medicine, Jagiellonian University Medical College, Cracow, Poland.
Anna GieliczII Department of Internal Medicine, Faculty of Medicine, Jagiellonian University Medical College, Cracow, Poland.
Aleksander KaniaII Department of Internal Medicine, Faculty of Medicine, Jagiellonian University Medical College, Cracow, Poland.
Paweł NastałekII Department of Internal Medicine, Faculty of Medicine, Jagiellonian University Medical College, Cracow, Poland.
Marek SanakII Department of Internal Medicine, Faculty of Medicine, Jagiellonian University Medical College, Cracow, Poland.ORCID 0000-0001-7635-8103
Lucyna MastalerzII Department of Internal Medicine, Faculty of Medicine, Jagiellonian University Medical College, Cracow, Poland.ORCID 0000-0002-8994-0036
Jagiellonian University · PLAGH University of Krakow · PL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundInduced sputum (IS) allows to measure mediators of asthmatic inflammation in bronchial secretions. NSAID-exacerbated respiratory disease (NERD) is recognized as a distinct asthma phenotype, usually with a severe course, eosinophilic airway inflammation, and increased production of pro-inflammatory eicosanoids. A more insightful analysis of NERD patients has shown this phenotype to be nonhomogeneous.

objectiveWe aimed to identify possible subphenotypes in a cohort of NERD patients with the means of latent class analysis (LCA).

methodsA total of 95 asthma patients with aspirin hypersensitivity underwent sputum induction. High-performance liquid chromatography or gas chromatography coupled with mass spectrometry was used to profile eicosanoids in induced sputum supernatant (ISS). Sixteen variables covering clinical characteristics, IS inflammatory cells, and eicosanoids were considered in the LCA.

resultsThree classes (subphenotypes) were distinguished within the NERD cohort. Class 1 subjects had mild-to-moderate asthma, an almost equal distribution of inflammatory cell patterns, the lowest concentrations of eicosanoids, and logLTE

conclusionsLCA revealed three distinct NERD subphenotypes. Our results support a more complex pathobiology of aspirin hypersensitivity. Considering NERD heterogeneity, the relationship between inflammatory pathways and clinical manifestations of asthma may lead to more individualized treatment in difficult to treat patients in the future.

Indexed as

Anti-Inflammatory Agents, Non-SteroidalRespiration DisordersAdultAspirinFemaleHumansLatent Class AnalysisLeukotriene E4MaleMiddle AgedSputumAnti-Inflammatory Agents, Non-SteroidalAspirinLeukotriene E4eicosanoidsinduced sputumlatent class analysisNSAID-exacerbated respiratory diseasephenotype

Identifiers

PMID31803947
PMCPMC7216982
OpenAlexW2993568177

What OpenQuestion holds

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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.