Evidence map›Paper›PMID 42775290›Full record

ArticleInfection and drug resistance2026

Bronchoalveolar Lavage Microbiota in Critically Ill Patients with Aspiration Pneumonia: An Exploratory Comparison with Community-Acquired Pneumonia and Analysis of

Runze Wang, Yiru Shao, Lin Zhang, Chen Zhang, Meili Shen, Weichun Mo, Feng Zhang, Jie Shen

Abstract read
In one paragraph

Article in Infection and drug resistance, 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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0citing papers in PubMed
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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

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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

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

8 authors.

Runze WangCenter of Emergency and Critical Medicine, Jinshan Hospital of Fudan University, Shanghai, People's Republic of China.
Yiru ShaoCenter of Emergency and Critical Medicine, Jinshan Hospital of Fudan University, Shanghai, People's Republic of China.
Lin ZhangCenter of Emergency and Critical Medicine, Jinshan Hospital of Fudan University, Shanghai, People's Republic of China.ORCID 0000-0002-0950-7145
Chen ZhangDepartment of Medicine, Dinfectome Inc, Nanjing, Jiangsu, People's Republic of China.
Meili ShenDepartment of Medicine, Dinfectome Inc, Nanjing, Jiangsu, People's Republic of China.
Weichun MoCenter of Emergency and Critical Medicine, Jinshan Hospital of Fudan University, Shanghai, People's Republic of China.
Feng ZhangCenter of Emergency and Critical Medicine, Jinshan Hospital of Fudan University, Shanghai, People's Republic of China.
Jie ShenCenter of Emergency and Critical Medicine, Jinshan Hospital of Fudan University, Shanghai, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Aspiration pneumonia (AP) is a common and severe infection among critically ill older adults, but its lower respiratory tract microbiota and clinical associations remain incompletely characterized. Methods: This single-center retrospective exploratory study included 72 intensive care unit patients, comprising 49 patients with AP and 23 with community-acquired pneumonia (CAP). Bronchoalveolar lavage fluid (BALF) microbiota were profiled using metagenomic next-generation sequencing (mNGS). Alpha and beta diversity, taxonomic composition, differential abundance, and associations between bacterial taxa and clinical or peripheral immune markers were analyzed. Within the AP cohort, the association between Results: AP patients had higher Shannon and Simpson diversity than CAP patients. Overall community composition did not differ significantly between the groups based on Bray-Curtis dissimilarity and PERMANOVA (R Conclusion: AP was associated with higher alpha diversity. Selected oral-associated taxonomic patterns and their immune-cell percentages correlations were exploratory and were not confirmed after multiple-testing correction. The association between

Indexed as

aspiration pneumoniabronchoalveolar lavage fluidimmune markersmetagenomic next-generation sequencingmicrobiotaprognosis

Identifiers

PMID42775290
PMCPMC13596457

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.