Evidence map›Paper›PMID 34772390›Full record

ArticleBMC pulmonary medicine2021

Distribution of inflammatory phenotypes among patients with asthma in Jilin Province, China: a cross-sectional study.

Bingqing Shi, Wei Li, Hongna Dong, Mengting Xu, Yuqiu Hao, Peng Gao

Open access · goldAbstract read
In one paragraph

Article in BMC pulmonary medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.0field-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

9 citing papers in PubMed, 12 citations in OpenAlex.

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  8. Frontiers in immunology · 2023
    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

6 authors at 1 institution in 1 country.

Bingqing ShiDepartment of Respiratory Medicine, The Second Hospital of Jilin University, Changchun, 130041, Jilin, China.
Wei LiDepartment 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.
Mengting XuDepartment 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. hao.yu.qi.u@163.com.
Peng GaoDepartment of Respiratory Medicine, The Second Hospital of Jilin University, Changchun, 130041, Jilin, China. gaopeng1234@sina.com.
Second Affiliated Hospital of Jilin University · CN

Funding

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

Abstract

backgroundThe inflammatory phenotypes of asthma predict the treatment response and prognosis. The phenotype distributions differ depending on the geographical region. This study aimed to assess the distribution of different inflammatory phenotypes among asthma patients in Jilin Province, China.

methodsA total of 255 patients with asthma were recruited from Jilin Province, China for this cross-sectional study. Each patient underwent sputum induction following clinical assessment and peripheral blood collection. Inflammatory phenotypes were classified according to the inflammatory cell counts in the sputum.

resultsPaucigranulocytic asthma (PGA) was the most common inflammatory phenotype (52.2%), followed by eosinophilic asthma (EA, 38.3%), mixed granulocytic asthma (MGA, 5.2%), and neutrophilic asthma (NA, 4.3%). NA was more common among patients over 45 years old and those who were treated with higher doses of inhaled corticosteroids (ICS), but was less common following antibiotics treatment (p < 0.05). The proportion of patients with EA decreased as the ICS treatment dose and time increased (p = 0.038). Patients with uncontrolled asthma had higher numbers of sputum eosinophils and neutrophils (p < 0.05). Patients with severe asthma had a higher percentage of sputum neutrophils (p < 0.05). A greater proportion of patients with NA had severe asthma (60%) compared to those with EA (18.2%) (p = 0.016).

conclusionsThe most common asthma inflammatory cell phenotype in Jilin Province, China is PGA, followed by EA, MGA, and NA. The low prevalence of NA in Jilin Province compared to other countries and also other regions in China might be due to excessive antibiotic use and irregular ICS treatment in this region.

Indexed as

PhenotypeAdministration, InhalationAdrenal Cortex HormonesAdultAgedAsthmaChinaCross-Sectional StudiesFemaleHumansInflammationMaleMiddle AgedAdrenal Cortex HormonesAsthmaInduced sputumInflammatory cell phenotypesSevere asthmaUncontrolled asthma

Identifiers

PMID34772390
PMCPMC8590234
OpenAlexW3212149354

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.