Evidence map›Paper›PMID 37113527›Full record

ArticleInfection and drug resistance2023

The Impact of mNGS Technology in the Etiological Diagnosis of Severe Pneumonia in Children During the Epidemic of COVID-19.

Changjiang Yu, Wei Guo, Zhulai Zhang, Yuting Ma, Xiaobei Cao, Na Sun, Yingyao Cui, Yunshen Wang, Wenyu Cui, Yongsheng Xu and 1 more

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 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.6field-weighted citation impact, top 10% 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

10 citing papers in PubMed, 12 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

11 authors at 1 institution in 1 country.

Changjiang Yu *Department of Pediatric Respiratory Medicine, Tianjin Children's Hospital, Tianjin University Children's Hospital, Tianjin, People's Republic of China.
Wei Guo *Department of Pediatric Respiratory Medicine, Tianjin Children's Hospital, Tianjin University Children's Hospital, Tianjin, People's Republic of China.
Zhulai Zhang *Department of Pediatric Respiratory Medicine, Tianjin Children's Hospital, Tianjin University Children's Hospital, Tianjin, People's Republic of China.
Yuting Ma *Department of Infection, Tianjin Children's Hospital, Tianjin University Children's Hospital, Tianjin, People's Republic of China.
Xiaobei CaoDepartment of Pediatric Respiratory Medicine, Tianjin Children's Hospital, Tianjin University Children's Hospital, Tianjin, People's Republic of China.
Na SunDepartment of Pediatric Respiratory Medicine, Tianjin Children's Hospital, Tianjin University Children's Hospital, Tianjin, People's Republic of China.
Yingyao CuiDepartment of Pediatric Respiratory Medicine, Tianjin Children's Hospital, Tianjin University Children's Hospital, Tianjin, People's Republic of China.
Yunshen WangDepartment of Pediatric Respiratory Medicine, Tianjin Children's Hospital, Tianjin University Children's Hospital, Tianjin, People's Republic of China.
Wenyu CuiDepartment of Pediatric Respiratory Medicine, Tianjin Children's Hospital, Tianjin University Children's Hospital, Tianjin, People's Republic of China.
Yongsheng XuDepartment of Pediatric Respiratory Medicine, Tianjin Children's Hospital, Tianjin University Children's Hospital, Tianjin, People's Republic of China.ORCID 0000-0002-5064-9284
Jianghua ZhanGraduate School of Tianjin Medical University, Tianjin, People's Republic of China.
Tianjin University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Metagenomic next-generation sequencing (mNGS) is an emerging technique for pathogen detection. However, most literature on the clinical application of pediatrics generally comprises case reports or small-scale cohort studies. Patients and Methods: A total of 101 children with community-acquired severe pneumonia admitted to Tianjin Children's Hospital from November 2021 to February 2022 were included. Pathogens in bronchoalveolar lavage fluid (BALF) specimens were detected using mNGS. The performances of mNGS and conventional tests on pulmonary infection diagnosis and pathogen identification were compared. Results: According to our data, mNGS had a broader spectrum for pathogen detection. The mNGS results of BALF showed that the number of children with severe pneumonia hospitalized for mycoplasma pneumoniae infection was more than that for other bacterial infections during the COVID-19 epidemic. In addition, 43 cases (42.6%) had been identified with mixed infection, including 36 cases (35.6%) of Mycoplasma pneumoniae mixed with other pathogenic bacteria. Analytically, the mNGS exhibited significantly enhanced detection in the BALF as compared with the conventional laboratory pathogenic detection approaches ( Conclusion: Compared with traditional methods, mNGS has a higher etiological detection rate and can comprehensively detect various pathogens of severe pneumonia. Therefore, mNGS of bronchoalveolar lavage fluid should be performed in children with severe pneumonia, which is of great significance for guiding treatment.

Indexed as

BALFchildrenmNGSpathogensevere pneumonia

Identifiers

PMID37113527
PMCPMC10128870
OpenAlexW4366549368

What OpenQuestion holds

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LicenceCC BY-NC
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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.