Evidence map›Paper›PMID 42077823›Full record

ArticleEuropean clinical respiratory journal2026

Multidisciplinary and stratified non-pharmacological airway clearance intervention to prevent stroke-associated pneumonia: a quasi-experimental study.

Yingchun Chen, Lihong Huang, Xi Huang, Inhye Park, Chao Wu, Yueli Gong, Jie Du, Jiawen You, Yang Liu

Erratum issuedAbstract read
In one paragraph

Article in European clinical respiratory journal, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. 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

5 · Who and what money

Authors and funding

9 authors.

Yingchun ChenDepartment of Rehabilitation Medicine, Siping City Central People's Hospital, Siping, China.ORCID https://orcid.org/0009-0007-5194-9792
Lihong HuangDepartment of Nursing, School of Medicine, Xiamen University, Xiamen, Fujian, China.ORCID https://orcid.org/0009-0008-5629-8754
Xi HuangDepartment of Nursing, School of Medicine, Xiamen University, Xiamen, Fujian, China.
Inhye ParkCenter for Human-Caring Nurse Leaders for the Future by Brain Korea 21 (BK 21) Four Project, College of Nursing, Seoul National University, South Korea.
Chao WuDepartment of Nursing, Siping City Central People's Hospital, Siping, China.
Yueli GongDepartment of Nursing, Siping City Central People's Hospital, Siping, China.
Jie DuDepartment of Nursing, Siping City Central People's Hospital, Siping, China.
Jiawen YouDepartment of Nursing, School of Medicine, Xiamen University, Xiamen, Fujian, China.
Yang LiuDepartment of Nursing, School of Medicine, Xiamen University, Xiamen, Fujian, China.ORCID https://orcid.org/0000-0002-5453-5604

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aims: This study evaluated the effectiveness of multidisciplinary treatment combined with non-pharmacological airway clearance techniques in preventing stroke-associated pneumonia (SAP). Methods: A quasi-experimental study was conducted at Central People's Hospital of Siping City, China, from March to May 2024. A total of 160 stroke patients were enrolled and assigned to an intervention group ( Results: After adjusting for baseline age and GCS, the intervention group had a significantly lower incidence of SAP (34.2% vs. 68.1%; adjusted odds ratio [OR] = 0.001, 95% confidence interval [CI]: 6.3 × 10 Conclusion: Multidisciplinary care with stratified non-pharmacological airway clearance significantly reduced SAP incidence, lowered CPIS, improved PaCO

Indexed as

active cycle of breathing techniqueshigh-frequency chest wall oscillationmultidisciplinary treatmentnon-pharmacological airway clearance techniquesStroke-associated pneumonia

Identifiers

PMID42077823
PMCPMC13134747

What OpenQuestion holds

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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.