Evidence map›Paper›PMID 42221461›Full record

ArticleThe Lancet regional health. Western Pacific2026

Airway clearance management for bronchiectasis in China: a multicentre cross-sectional study from the Chinese bronchiectasis registry (BE-China).

Yang Liu, Yi-Fan Wu, Yuan-Lin Song, Wei-Jie Guan, Xiang-Huai Xu, Hai-Wen Lu, Hai-Yan Ge, Rong-Chang Chen, Jie-Ming Qu, Jin-Fu Xu and 1 more

Abstract read
In one paragraph

Article in The Lancet regional health. Western Pacific, 2026. 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
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

11 authors.

Yang LiuDepartment of Respiratory and Critical Care Medicine, Tongji Hospital, School of Medicine, Tongji University, Shanghai, 200065, China.
Yi-Fan WuDepartment of Respiratory and Critical Care Medicine, Tongji Hospital, School of Medicine, Tongji University, Shanghai, 200065, China.
Yuan-Lin SongDepartment of Pulmonary and Critical Care Medicine, Zhongshan Hospital, Fudan University, Shanghai, 200032, China.
Wei-Jie GuanState Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Disease, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510120, China.
Xiang-Huai XuDepartment of Respiratory and Critical Care Medicine, Tongji Hospital, School of Medicine, Tongji University, Shanghai, 200065, China.
Hai-Wen LuInstitute of Respiratory Medicine, School of Medicine, Tongji University, Shanghai, 200092, China.
Hai-Yan GeDepartment of Respiratory and Critical Care Medicine, Huadong Hospital, Fudan University, Shanghai, 200040, China.
Rong-Chang ChenKey Laboratory of Shenzhen Respiratory Diseases, Institute of Shenzhen Respiratory Diseases, Shenzhen People's Hospital, Shenzhen, 518038, China.
Jie-Ming QuDepartment of Pulmonary and Critical Care Medicine, Ruijin Hospital, Institute of Respiratory Medicine, School of Medicine, Shanghai Jiaotong University, Shanghai, 200025, China.
Jin-Fu XuDepartment of Respiratory and Critical Care Medicine, Tongji Hospital, School of Medicine, Tongji University, Shanghai, 200065, China.
BE-China Registry Investigators

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Airway clearance techniques (ACTs) are guideline-recommended in bronchiectasis, while contemporary patterns and determinants of ACTs adoption remain unclear in China. Methods: A multicentre cross-sectional study was conducted using data from the BE-China cohort between 10 Jan 2020 and 31 Mar 2024. Clinical characteristics and prespecified ACT modalities were collected across 92 hospitals. Multivariable logistic regression identified important associations of ACTs utilization. Findings: Among 9647 patients, 12.2% (1177) used regular ACTs at baseline, and regional heterogeneity in ACTs utilization was observed. Moreover, ACTs users exhibited prolonged disease duration, a higher proportion of severe disease, greater comorbidity, heavier cough and sputum burden, and more frequent pharmacological and ventilatory interventions. Variables associated with increased ACTs utilization included comorbid burden (OR 1.47, 1.28-1.70; p < 0.0001), daily sputum (OR 1.68, 1.33-2.10; p < 0.0001), expectorants usage (OR 3.19, 2.74-3.71; p < 0.0001), inhaled antibiotics (OR 2.04, 1.35-3.07; p = 0.00065), macrolide therapy (OR 2.31, 1.78-2.99; p < 0.0001), other long-term oral antibiotics (OR 1.37, 1.13-1.66; p = 0.0013), noninvasive ventilation requirement (OR 4.11, 3.14-5.39; p < 0.0001), and disease duration (per SD increase, OR 1.08, 1.01-1.15; p = 0.027). Both BE-China and the similar European Bronchiectasis Registry (EMBARC) cohorts showed distinct etiological and comorbidity profiles, yet consistently revealed a higher medication burden among ACTs users. Interpretation: In China, ACTs utilization is primarily concentrated among patients with bronchiectasis who have a heavier symptom burden and greater treatment intensity. Clinicians may leverage the identified associations to optimize adherence and guide phenotype-targeted ACTs implementation strategies, and these findings may serve as a reference for future research. Funding: Noncommunicable Chronic Diseases-National Science and Technology Major Project, National Natural Science Foundation of China, Innovation Program of Shanghai Municipal Education Commission, Program of Shanghai Municipal Science and Technology Commission, Major Project of Guangzhou National Laboratory.

Indexed as

Airway clearance techniqueAssociationsBE-China registryBronchiectasis

Identifiers

PMID42221461
PMCPMC13218221

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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.