Evidence map›Paper›PMID 33975625›Full record

ArticleAllergy, asthma, and clinical immunology : official journal of the Canadian Society of Allergy and Clinical Immunology2021

Characteristics of inflammatory phenotypes among patients with asthma: relationships of blood count parameters with sputum cellular phenotypes.

Bingqing Shi, Wei Li, Yuqiu Hao, Hongna Dong, Wenjing Cao, Jie Guo, Peng Gao

Open access · goldAbstract read
In one paragraph

Article in Allergy, asthma, and clinical immunology : official journal of the Canadian Society of Allergy and Clinical Immunology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
1.6field-weighted citation impact, top 17% 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 17 citations in OpenAlex.

  1. Clinical Indicators for Asthma-COPD Overlap: A Systematic Review and Meta-Analysis.International journal of chronic obstructive pulmonary disease · 2022
    Pooled it
  2. Article
  3. Review
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  5. Article
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  9. New targets for type 2-low asthma.The Korean journal of internal medicine · 2024
    Review
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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

7 authors at 1 institution in 1 country.

Bingqing Shi *Department of Respiratory Medicine, The Second Hospital of Jilin University, Changchun, 130041, Jilin, China.
Wei Li *Department of Respiratory Medicine, The Second Hospital of Jilin University, Changchun, 130041, Jilin, China.
Yuqiu HaoDepartment of Respiratory Medicine, The Second Hospital of Jilin University, Changchun, 130041, Jilin, China.
Hongna DongDepartment of Respiratory Medicine, The Second Hospital of Jilin University, Changchun, 130041, Jilin, China.
Wenjing CaoDepartment of Science and Education, Changchun Central Hospital, Changchun, Jilin, China.
Jie GuoDepartment of Radiation Oncology, The Second Hospital of Jilin University, Changchun, Jilin, China.
Peng GaoDepartment of Respiratory Medicine, The Second Hospital of Jilin University, Changchun, 130041, Jilin, China. gaopeng1234@sina.com.ORCID http://orcid.org/0000-0001-7328-1235
Second Affiliated Hospital of Jilin University · CN

Funding

Anhui Development and Reform Commission 2019C047-7Department of Finance of Jilin Province 2019SCZT033Jilin Province Natural Science Foundation 202000201384JCNational Natural Science Foundation of China 82070037
6 · The paper itself

Abstract

backgroundThere is a need to identify the asthma inflammatory phenotypes of patients to facilitate personalized asthma treatment. Sputum induction is time-consuming and requires expert clinical technique. This study aimed to assess the distribution and characteristics of asthma inflammatory phenotypes in Jilin Province, China; it also aimed to identify an easier method for characterization of an asthma phenotype, rather than sputum cellular analysis.

methodsIn this study, 232 asthma patients underwent sputum induction following clinical assessment and blood collection. Inflammatory cell counts in sputum were used to classify asthma inflammatory phenotypes. Receiver operating characteristic curve and Spearman correlation coefficient analyses were used to identify correlations between clinical parameters.

resultsAmong the included patients, there had 52.1% paucigranulocytic, 38.4% eosinophilic, 4.3% neutrophilic, and 5.2% mixed granulocytic asthma phenotypes, respectively. In total, 129 (55.6%) patients had asthma-chronic obstructive pulmonary disease (COPD) overlap (ACO); these patients had higher proportion of smokers, higher sputum neutrophil count, worse lung function, and worse asthma control, compared with patients who had asthma alone (p < 0.05). Sputum eosinophil/neutrophil counts were positively correlated with blood eosinophil/neutrophil counts (p < 0.01). To identify the presence of sputum eosinophil proportion ≥ 3%, optimal cut-off values for blood eosinophil count and fractional exhaled nitric oxide (FeNO) were 0.2 × 10

conclusionsPaucigranulocytic asthma was the most common phenotype, followed by eosinophilic asthma. Higher proportion of smokers, poor patient compliance, insufficient treatment, and poor asthma control may have been the main causes of high ACO proportion among patients in this study. Blood eosinophil/neutrophil counts exhibited poor specificity and sensitivity for prediction of airway eosinophilic/neutrophilic inflammation.

Indexed as

AsthmaEosinophilsInduced sputumInflammation phenotypesNeutrophils

Identifiers

PMID33975625
PMCPMC8111745
OpenAlexW3187669536

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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.