Evidence map›Paper›PMID 38264726›Full record

ArticleFrontiers in cellular and infection microbiology2023

Etiology of lower respiratory tract in pneumonia based on metagenomic next-generation sequencing: a retrospective study.

Jin-Zhu Wang, Ding Yuan, Xiang-Hong Yang, Chang-Hua Sun, Lin-Lin Hou, Yan Zhang, Yan-Xia Gao

Open access · goldAbstract read
In one paragraph

Article in Frontiers in cellular and infection microbiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
6.2field-weighted citation impact, top 3% 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

12 citing papers in PubMed, 16 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 2 institutions in 1 country.

Jin-Zhu WangEmergency Department, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.
Ding YuanEmergency Department, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.
Xiang-Hong YangEmergency and Critical Care Center, Intensive Care Unit, Zhejiang Provincial People's Hospital (Affiliated People's Hospital), Hangzhou Medical College, Hangzhou, Zhejiang, China.
Chang-Hua SunEmergency Department, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.
Lin-Lin HouEmergency Department, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.
Yan ZhangEmergency Department, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.
Yan-Xia GaoEmergency Department, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.
First Affiliated Hospital of Zhengzhou University · CNHangzhou Medical College · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Pneumonia are the leading cause of death worldwide, and antibiotic treatment remains fundamental. However, conventional sputum smears or cultures are still inefficient for obtaining pathogenic microorganisms.Metagenomic next-generation sequencing (mNGS) has shown great value in nucleic acid detection, however, the NGS results for lower respiratory tract microorganisms are still poorly studied. Methods: This study dealt with investigating the efficacy of mNGS in detecting pathogens in the lower respiratory tract of patients with pulmonary infections. A total of 112 patients admitted at the First Affiliated Hospital of Zhengzhou University between April 30, 2018, and June 30, 2020, were enrolled in this retrospective study. The bronchoalveolar lavage fluid (BALF) was obtained from lower respiratory tract from each patient. Routine methods (bacterial smear and culture) and mNGS were employed for the identification of pathogenic microorganisms in BALF. Results: The average patient age was 53.0 years, with 94.6% (106/112) obtaining pathogenic microorganism results. The total mNGS detection rate of pathogenic microorganisms significantly surpassed conventional methods (93.7% vs. 32.1%, P < 0.05). Notably, 75% of patients (84/112) were found to have bacteria by mNGS, but only 28.6% (32/112) were found to have bacteria by conventional approaches. The most commonly detected bacteria included Conclusion: Significant benefits of mNGS have been shown in the detection of pathogenic microorganisms in patients with pulmonary infection. For those with suboptimal therapeutic responses, mNGS can provide an etiological basis, aiding in precise anti-infective treatment.

Indexed as

Epstein-Barr Virus InfectionsPneumoniaHerpesvirus 4, HumanHigh-Throughput Nucleotide SequencingHumansMiddle AgedRespiratory SystemRetrospective Studiesantibioticsetiologylower respiratory tractmetagenomic next-generation sequencingpulmonary infection

Identifiers

PMID38264726
PMCPMC10803656
OpenAlexW4390736714

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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.