Evidence map›Paper›PMID 29066918›Full record

ArticleJournal of asthma and allergy2017

Asthma with bronchial hypersecretion: expression of mucins and toll-like receptors in sputum and blood.

Astrid Crespo-Lessmann, Eder Mateus, Montserrat Torrejón, Alicia Belda, Jordi Giner, Silvia Vidal, Oriol Sibila, Vicente Plaza

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in Journal of asthma and allergy, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
0.9field-weighted citation impact, top 25% 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

3 citing papers in PubMed, 1 synthesis or guideline pooled it, 8 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Regulation of IL-17A and implications for TGF-β1 comodulation of airway smooth muscle remodeling in severe asthma.American journal of physiology. Lung cellular and molecular physiology · 2019
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 1 institution in 1 country.

Astrid Crespo-LessmannService of Pneumology, Hospital de la Santa Ceu i Sant Pau, Institute of Sant Pau Biomedical Research (IBB Sant Pau), Universitat Autònoma de Barcelona, Centro de Investigación Biomédica en Red de Enfermedades Respiratorias (CIBERES).
Eder MateusService of Pneumology, Hospital de la Santa Ceu i Sant Pau, Institute of Sant Pau Biomedical Research (IBB Sant Pau), Universitat Autònoma de Barcelona, Centro de Investigación Biomédica en Red de Enfermedades Respiratorias (CIBERES).
Montserrat TorrejónService of Pneumology, Hospital de la Santa Ceu i Sant Pau, Institute of Sant Pau Biomedical Research (IBB Sant Pau), Universitat Autònoma de Barcelona, Centro de Investigación Biomédica en Red de Enfermedades Respiratorias (CIBERES).
Alicia BeldaService of Pneumology, Hospital de la Santa Ceu i Sant Pau, Institute of Sant Pau Biomedical Research (IBB Sant Pau), Universitat Autònoma de Barcelona, Centro de Investigación Biomédica en Red de Enfermedades Respiratorias (CIBERES).
Jordi GinerService of Pneumology, Hospital de la Santa Ceu i Sant Pau, Institute of Sant Pau Biomedical Research (IBB Sant Pau), Universitat Autònoma de Barcelona, Centro de Investigación Biomédica en Red de Enfermedades Respiratorias (CIBERES).
Silvia VidalDepartment of Immunology, Hospital de la Santa Creu i Sant Pau, Institut d'Investigació Biomédica Sant Pau, Barcelona, Spain.
Oriol SibilaService of Pneumology, Hospital de la Santa Ceu i Sant Pau, Institute of Sant Pau Biomedical Research (IBB Sant Pau), Universitat Autònoma de Barcelona, Centro de Investigación Biomédica en Red de Enfermedades Respiratorias (CIBERES).
Vicente PlazaService of Pneumology, Hospital de la Santa Ceu i Sant Pau, Institute of Sant Pau Biomedical Research (IBB Sant Pau), Universitat Autònoma de Barcelona, Centro de Investigación Biomédica en Red de Enfermedades Respiratorias (CIBERES).
Hospital de Sant Pau · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Asthma with bronchial hypersecretion is a type of asthma that is poorly studied. Its pathogenesis is not well understood, but is probably related to innate impaired immunity, particularly with toll-like receptors (TLRs) and secretory mucins (MUC).

objectives1) Define the clinical and inflammatory phenotype of asthma with bronchial hypersecretion of mucus. 2) Compare the type of mucin present in induced sputum (IS) of patients with and without bronchial hypersecretion. 3) Determine the expression of TLRs in IS and blood of asthmatics with and without bronchial hypersecretion. MATERIALS AND

methodsCross-sectional study which included 43 non-smoking asthmatic patients without bronchiectasis, 19 with bronchiectasis, and 24 without bronchial hypersecretion. All patients underwent the following: IS, spirometry, fractional exhaled nitric oxide, prick test, total immunoglobulin E (IgE), and blood albumin. Analysis of mucins was determined by ELISA and expression of TLR2 and TLR4 by flow cytometry. The level of asthma control was determined by the Asthma Control Test (ACT) questionnaire and quality of life was assessed by the reduced version of the Asthma Quality of Life Questionnaire (mini-AQLQ).

resultsAsthmatics with bronchial hypersecretion were significantly older (62.6 years vs 48.5 years;

conclusionAsthma patients with bronchial hypersecretion have more severe and uncontrolled disease, with poor quality of life as well as a non-allergic inflammatory phenotype. Within the mechanisms involving these differences, it does not appear that mucins and TLRs play an important role.

Indexed as

asthmainduced sputuminflammationmucinstoll-like receptor

Identifiers

PMID29066918
PMCPMC5644553
OpenAlexW2763945846

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.