Evidence map›Paper›PMID 42077223›Full record

ArticleAnnals of thoracic medicine

Correlation between the severity of asthma and computed tomography-based large airway structural changes among children under 3 years of age.

Xin Hou, Nan Li, Jing Yu, Yuewen Hao, Chaozong Ma, Jianli Pan, Jixin Liu, Peng Zhang

Abstract read
In one paragraph

Article in Annals of thoracic medicine. 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
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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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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

8 authors.

Xin Hou *Department of Imaging, Xi'an Children's Hospital, Xi'an, Shaanxi, China.
Nan Li *Center for Brain Imaging, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi, China.
Jing YuDepartment of Radiology, Xijing Hospital, Air Force Military Medical University, Xi'an, Shaanxi, China.
Yuewen HaoDepartment of Imaging, Xi'an Children's Hospital, Xi'an, Shaanxi, China.
Chaozong MaCenter for Brain Imaging, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi, China.
Jianli PanDepartment of Respiratory Medicine, Xi'an Children's Hospital, Xi'an, Shaanxi, China.
Jixin LiuDepartment of Imaging, Xi'an Children's Hospital, Xi'an, Shaanxi, China.
Peng ZhangDepartment of Imaging, Xi'an Children's Hospital, Xi'an, Shaanxi, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe absence of objective and quantitative criteria of pediatric asthma is a persistent barrier in the early diagnosis and assessment of severity. Alterations in major airway structures in individuals with asthma may indicate the severity of the disease. This study was conducted to determine the correlation between the morphologic characteristics of the respiratory tract with the degrees of the severity of asthma among the children under 3 years old.

methodsA retrospective analysis of low-dose computed tomography (CT) data was performed to determine the potential predictive value of morphologic characteristics of big airways in determining the response to pharmacologic treatment in children with asthma <3 years of age. The analysis was performed using a machine learning approach.

resultsTwo hundred and forty-four children with asthma were diagnosed with moderate (

conclusionThe morphologic characteristics of the respiratory tract are closely related to the degrees of the severity of asthma among the children under 3 years old.

Indexed as

Asthmacomputed tomographyenlarged airwaymorphological characteristicspediatric patients

Identifiers

PMID42077223
PMCPMC13135312

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