Evidence map›Paper›PMID 41919175›Full record

ArticleFrontiers in medicine2026

CT imaging in children with non-severe asthma and cough-variant asthma: functional spasm or structural remodeling?

Li Wang, Chunying Liu, Yinghong Fan, Wanmin Xia, Cheng Xie, Yanru Liu, Pinli Zou, Qianqian Li, Tao Ai

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Article in Frontiers in medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited 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

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0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Li WangDepartment of Pediatric Respiratory Medicine, Chengdu Women's and Children's Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China.
Chunying LiuDepartment of Radiology, Chengdu Women's and Children's Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China.
Yinghong FanDepartment of Pediatric Respiratory Medicine, Chengdu Women's and Children's Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China.
Wanmin XiaDepartment of Pediatric Respiratory Medicine, Chengdu Women's and Children's Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China.
Cheng XieDepartment of Pediatric Respiratory Medicine, Chengdu Women's and Children's Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China.
Yanru LiuDepartment of Pediatric Respiratory Medicine, Chengdu Women's and Children's Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China.
Pinli ZouDepartment of Pediatric Respiratory Medicine, Chengdu Women's and Children's Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China.
Qianqian LiDepartment of Pediatric Respiratory Medicine, Chengdu Women's and Children's Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China.
Tao AiDepartment of Pediatric Respiratory Medicine, Chengdu Women's and Children's Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To investigate the role of CT-measured bronchial wall thickness and area in detecting airway remodeling in children with non-severe asthma and cough-variant asthma. Methods: A retrospective review was conducted on 140 children who were assigned to the non-severe asthma (AS, Results: The wall area (WA), wall thickness (WT), wall area percentage (WA%), and wall thickness percentage (WT%) were measured in the third and fourth segments of right upper lobe apical segmental bronchus (RB1), right lower lobe posterior basal segmental bronchus (RB10) and left lower lobe posterior basal segmental bronchus (LB10). These parameters were significantly higher in both the AS and CVA groups compared to the CTL group ( Conclusion: In conclusion, the CT results suggest that there may be airway remodeling in non-severe asthma and CVA patients in the early stages of the disease. Although patients with CVA differ from those with classic asthma in their clinical presentation and pulmonary function, they may share the same pattern of airway remodeling.

Indexed as

airway remodelingchildrencough-variant asthma (CVA)CTnon-severe asthma

Identifiers

PMID41919175
PMCPMC13033675

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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.