Evidence map›Paper›PMID 42218577›Full record

ArticleCanadian respiratory journal2026

Computed Tomography-Based Evaluation of Airway Remodeling for Distinguishing Asthma-Chronic Obstructive Pulmonary Disease Overlap From Asthma and Chronic Obstructive Pulmonary Disease.

Mei-Cheng Chen, Yang-Li Liu, Feng-Jia Chen, Wei Liang, Wei-Wei Deng, Ling Ma, Yu-Biao Guo, Shi-Ting Feng, Ying Zhu

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Canadian respiratory journal, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Review
  2. Article
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.

Mei-Cheng ChenDepartment of Radiology, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, 510080, Guangdong, China, sysu.edu.cn.ORCID https://orcid.org/0000-0002-7604-0776
Yang-Li LiuDivision of Pulmonary and Critical Care Medicine, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, 510080, Guangdong, China, sysu.edu.cn.
Feng-Jia ChenDivision of Pulmonary and Critical Care Medicine, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, 510080, Guangdong, China, sysu.edu.cn.
Wei LiangDepartment of Medical Records Management, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, 510080, Guangdong, China, sysu.edu.cn.
Wei-Wei DengClinical & Technical Support, Philips Healthcare, Shanghai, 200072, Shanghai, China, philips.com.
Ling MaDepartment of Radiology, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, 510080, Guangdong, China, sysu.edu.cn.ORCID https://orcid.org/0000-0002-0430-0807
Yu-Biao GuoDivision of Pulmonary and Critical Care Medicine, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, 510080, Guangdong, China, sysu.edu.cn.
Shi-Ting FengDepartment of Radiology, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, 510080, Guangdong, China, sysu.edu.cn.ORCID https://orcid.org/0000-0002-0869-7290
Ying ZhuDepartment of Radiology, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, 510080, Guangdong, China, sysu.edu.cn.ORCID https://orcid.org/0000-0002-5799-3870

Funding

Basic and Applied Basic Research Foundation of Guangdong Province 2020A1515110933Guangzhou Science and Technology Program key projects 202102020078National Natural Science Foundation of China 82100054
6 · The paper itself

Abstract

objectivesWe aimed to explore the practicality of CT imaging for diagnosing asthma-chronic obstructive pulmonary disease (COPD) overlap syndrome (ACO).

methodA total of 339 patients, including asthma, COPD, and ACO, were retrospectively collected from our hospital from February 2014 to October 2020. Airway and emphysema CT parameters were measured by image-analyzing software. Multivariate logistic regression analysis was applied to select independent variables for building the diagnostic models.

resultFemale gender, younger age, higher WA

conclusionThe proposed models can serve as noninvasive tools to diagnose ACO from COPD and asthma. This study highlights the value of CT in evaluating airway remodeling features and holds promise for clinical application.

Indexed as

Airway RemodelingAsthmaAsthma-Chronic Obstructive Pulmonary Disease Overlap SyndromePulmonary Disease, Chronic ObstructiveTomography, X-Ray ComputedAgedDiagnosis, DifferentialFemaleHumansMaleMiddle AgedRetrospective Studiesasthma–COPD overlap syndrome (ACO)diagnostic modellung functionX-ray computed tomography

Identifiers

PMID42218577
PMCPMC13239247

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.