Evidence map›Paper›PMID 42473060›Full record

ArticleClinical and translational allergy2026

Paucigranulocytic Asthma in Aspirin-Hypersensitive Patients: Pleiotropic Regulation of Type 2 Biomarkers.

Radosław Kacorzyk, Piotr Szatkowski, Agnieszka Gawlewicz-Mroczka, Adam Ćmiel, Anna Gielicz, Adam Stępień, Patryk Hartwich, Marek Sanak, Lucyna Mastalerz

Abstract read
In one paragraph

Article in Clinical and translational allergy, 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
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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

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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

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5 · Who and what money

Authors and funding

9 authors.

Radosław Kacorzyk2nd Department of Internal Medicine, Jagiellonian University Medical College, Krakow, Poland.
Piotr Szatkowski2nd Department of Internal Medicine, Jagiellonian University Medical College, Krakow, Poland.
Agnieszka Gawlewicz-Mroczka2nd Department of Internal Medicine, Jagiellonian University Medical College, Krakow, Poland.
Adam ĆmielDepartment of Applied Mathematics, AGH University of Science and Technology, Krakow, Poland.
Anna Gielicz2nd Department of Internal Medicine, Jagiellonian University Medical College, Krakow, Poland.ORCID https://orcid.org/0000-0002-2128-2145
Adam Stępień2nd Department of Internal Medicine, Jagiellonian University Medical College, Krakow, Poland.
Patryk HartwichDepartment of Otolaryngology, Jagiellonian University Medical College, Krakow, Poland.
Marek Sanak2nd Department of Internal Medicine, Jagiellonian University Medical College, Krakow, Poland.ORCID https://orcid.org/0000-0001-7635-8103
Lucyna Mastalerz2nd Department of Internal Medicine, Jagiellonian University Medical College, Krakow, Poland.ORCID https://orcid.org/0000-0002-8994-0036

Funding

Jagiellonian University Medical College, under the Visibility & Mobility Module within the Excellence Initiative at Jagiellonian University (ID.UJ)Narodowe Centrum Nauki 2020/39/B/NZ5/02296
6 · The paper itself

Abstract

backgroundUp to 50% of patients with nonsteroidal anti-inflammatory drug-exacerbated respiratory disease (N-ERD) exhibit a noneosinophilic airway inflammatory phenotype, with paucigranulocytic asthma being the most prevalent. The aim was to identify clusters within N-ERD and aspirin-tolerant asthma (ATA) controls with a paucigranulocytic asthma phenotype.

methodsTwo separate hierarchical cluster analyses were performed using 23 variables in 36 N-ERD patients and 19 ATA controls. Variables included demographic, clinical, treatment-related, and hematologic parameters; sputum cytology; sinus computed tomography findings; and eicosanoid levels in induced sputum supernatant (ISS) and urine.

resultsTwo clusters were identified in each group: 1

conclusionTwo clusters were identified among N-ERD patients with a paucigranulocytic asthma phenotype. Cluster 1

Indexed as

cluster analysisinduced sputumnonsteroidal anti‐inflammatory drug–exacerbated respiratory diseasepaucigranulocytic inflammatory phenotype

Identifiers

PMID42473060
PMCPMC13381727

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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.