Evidence map›Paper›PMID 36639753›Full record

ArticleBMC microbiology2023

Upper respiratory tract microbiota is associated with small airway function and asthma severity.

Yi Li, Congying Zou, Jieying Li, Wen Wang, Yue Guo, Lifang Zhao, Chunguo Jiang, Peng Zhao, Xingqin An

Open access · goldAbstract read
In one paragraph

Article in BMC microbiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 2 pooled it
1.1field-weighted citation impact, top 24% 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

10 citing papers in PubMed, 2 syntheses or guidelines pooled it, 7 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Journal of bacteriology · 2026
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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

9 authors at 4 institutions in 1 country.

Yi LiState Key Laboratory of Severe Weather of CMA, Chinese Academy of Meteorological Sciences, Beijing, 100081, China.
Congying ZouDepartment of Surgery, Beijing ChaoYang Hospital, Capital Medical University, Chaoyang District, Beijing, China.
Jieying LiDepartment of Respiratory and Critical Care Medicine, Beijing Institute of Respiratory Medicine and Beijing Chao-Yang Hospital, Capital Medical University, No.8, Gongtinan Road, Chaoyang District, Beijing, 100020, China.
Wen WangDepartment of Respiratory and Critical Care Medicine, Beijing Institute of Respiratory Medicine and Beijing Chao-Yang Hospital, Capital Medical University, No.8, Gongtinan Road, Chaoyang District, Beijing, 100020, China. wenwang_doc@126.com.
Yue GuoDepartment of Respiratory and Critical Care Medicine, Beijing Institute of Respiratory Medicine and Beijing Chao-Yang Hospital, Capital Medical University, No.8, Gongtinan Road, Chaoyang District, Beijing, 100020, China.
Lifang ZhaoDepartment of Respiratory and Critical Care Medicine, Beijing Institute of Respiratory Medicine and Beijing Chao-Yang Hospital, Capital Medical University, No.8, Gongtinan Road, Chaoyang District, Beijing, 100020, China.
Chunguo JiangDepartment of Respiratory and Critical Care Medicine, Beijing Institute of Respiratory Medicine and Beijing Chao-Yang Hospital, Capital Medical University, No.8, Gongtinan Road, Chaoyang District, Beijing, 100020, China.
Peng ZhaoDepartment of Health and Environmental Sciences, Xi'an Jiaotong-Liverpool University, Suzhou, China.
Xingqin AnState Key Laboratory of Severe Weather of CMA, Chinese Academy of Meteorological Sciences, Beijing, 100081, China.
Beijing Chao-Yang Hospital · CNCapital Medical University · CNChinese Academy of Meteorological Sciences · CNXi’an Jiaotong-Liverpool University · CN

Funding

National Natural Science Foundation of China 42175184Natural Science Foundation of Beijing Municipality 7192069
6 · The paper itself

Abstract

backgroundCharacteristics of airway microbiota might influence asthma status or asthma phenotype. Identifying the airway microbiome can help to investigate its role in the development of asthma phenotypes or small airway function.

methodsBacterial microbiota profiles were analyzed in induced sputum from 31 asthma patients and 12 healthy individuals from Beijing, China. Associations between small airway function and airway microbiomes were examined.

resultsComposition of sputum microbiota significantly changed with small airway function in asthma patients. Two microbiome-driven clusters were identified and characterized by small airway function and taxa that had linear relationship with small airway functions were identified.

conclusionsOur findings confirm that airway microbiota was associated with small airway function in asthma patients.

Indexed as

AsthmaMicrobiotaHumansNoseSputumTracheaAshtmaMaximal expiratory flowMirobiomePhenotypeSmall airway function

Identifiers

PMID36639753
PMCPMC9837891
OpenAlexW4315798327

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.