Evidence map›Paper›PMID 37576519›Full record

ArticleInfection and drug resistance2023

Microbial Community Characterization and Molecular Resistance Monitoring in Geriatric Intensive Care Units in China Using mNGS.

Jilin Yang, Lingyi Li, Xiaolin Zhu, Chen He, Ting Li, Jiahong Qin, Yijie Wang

Open access · goldAbstract read
In one paragraph

Article in Infection and drug resistance, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.6field-weighted citation impact, top 34% of its field
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

4 citing papers in PubMed, 3 citations in OpenAlex.

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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

7 authors at 1 institution in 1 country.

Jilin Yang *Department of Critical Care Medicine, The First Affiliated Hospital of Kunming Medical University, Kunming, People's Republic of China.
Lingyi Li *Department of Medical, Hangzhou Matridx Biotechnology Company, Hangzhou, People's Republic of China.
Xiaolin ZhuDepartment of Critical Care Medicine, The First Affiliated Hospital of Kunming Medical University, Kunming, People's Republic of China.
Chen HeDepartment of Critical Care Medicine, The First Affiliated Hospital of Kunming Medical University, Kunming, People's Republic of China.
Ting LiDepartment of Critical Care Medicine, The First Affiliated Hospital of Kunming Medical University, Kunming, People's Republic of China.
Jiahong QinDepartment of Critical Care Medicine, The First Affiliated Hospital of Kunming Medical University, Kunming, People's Republic of China.
Yijie WangDepartment of Critical Care Medicine, The First Affiliated Hospital of Kunming Medical University, Kunming, People's Republic of China.ORCID 0000-0002-0986-4644
Kunming Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Surface pathogens in the ICU pose a global public health threat, especially to elderly patients who are immunocompromised. To detect these pathogens, unbiased methods such as metagenomic next-generation sequencing (mNGS) are increasingly utilized for environmental microbiological surveillance. Methods: In a six-month study from January to July 2022, we investigated microbial communities in Chinese geriatric ICUs by regularly monitoring multiple surfaces at three-month intervals. Using mNGS sequencing, we analyzed microorganisms present at eight specific locations within the ICU. Additionally, we compared pathogen profiles and drug resistance genes between patient cultures and environmental samples collected during the same period. Results: The microbial composition remained relatively stable over time, but significant differences in alpha diversities were observed among various surfaces such as floors, hands, pumps, trolleys, and ventilator inlets/outlets. Surfaces with high contact frequency for healthcare workers, including workstations, ventilator panels, trolleys, pumps, and beds, harbored pathogenic microorganisms such as Conclusion: The microbial composition and abundance in the ICU remained relatively constant over time. The floor exhibited the highest microbial diversity and abundance in the ICU environment. Drug-resistant genes in the ICU environment may migrate between patients. Overall, mNGS is an emerging and powerful tool for microbiological monitoring of the hospital environment.

Indexed as

environmental microorganismsgeriatric intensive care unithospital-acquired infectionsinfection and prevention and controlmNGS

Identifiers

PMID37576519
PMCPMC10422961
OpenAlexW4385663784

What OpenQuestion holds

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LicenceCC BY-NC
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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.