Evidence map›Paper›PMID 37655299›Full record

ArticleFrontiers in cellular and infection microbiology2023

Utilizing metagenomic next-generation sequencing for diagnosis and lung microbiome probing of pediatric pneumonia through bronchoalveolar lavage fluid in pediatric intensive care unit: results from a large real-world cohort.

Huili Shen, Tingyan Liu, Meili Shen, Yi Zhang, Weiming Chen, Hanlin Chen, Yixue Wang, Jing Liu, Jinhao Tao, Liming He and 2 more

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 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
4.3field-weighted citation impact, top 5% 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

13 citing papers in PubMed, 20 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
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  5. The respiratory tract virome: unravelling the role of viral dark matter in respiratory health and disease.European respiratory review : an official journal of the European Respiratory Society · 2025
    Review
  6. Article
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  9. Article
  10. Article
  11. Cavitary pulmonary tuberculosis withFrontiers in medicine · 2025
    Article
  12. Clinical relevance of lung microbiota composition in critically ill children with acute lower respiratory tract infections: insights from a retrospective analysis of metagenomic sequencing.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2025
    Article
  13. Article
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

12 authors at 1 institution in 1 country.

Huili ShenPediatric Intensive Care Unit, Children's Hospital of Fudan University, National Children's Medical Center, Shanghai, China.
Tingyan LiuPediatric Intensive Care Unit, Children's Hospital of Fudan University, National Children's Medical Center, Shanghai, China.
Meili ShenMedical Department, Nanjing Dinfectome Technology Inc., Nanjing, Jiangsu, China.
Yi ZhangDepartment of Clinical Epidemiology, Children's Hospital of Fudan University, National Children's Medical Center, Shanghai, China.
Weiming ChenPediatric Intensive Care Unit, Children's Hospital of Fudan University, National Children's Medical Center, Shanghai, China.
Hanlin ChenMedical Department, Nanjing Dinfectome Technology Inc., Nanjing, Jiangsu, China.
Yixue WangPediatric Intensive Care Unit, Children's Hospital of Fudan University, National Children's Medical Center, Shanghai, China.
Jing LiuPediatric Intensive Care Unit, Children's Hospital of Fudan University, National Children's Medical Center, Shanghai, China.
Jinhao TaoPediatric Intensive Care Unit, Children's Hospital of Fudan University, National Children's Medical Center, Shanghai, China.
Liming HePediatric Intensive Care Unit, Children's Hospital of Fudan University, National Children's Medical Center, Shanghai, China.
Guoping LuPediatric Intensive Care Unit, Children's Hospital of Fudan University, National Children's Medical Center, Shanghai, China.
Gangfeng YanPediatric Intensive Care Unit, Children's Hospital of Fudan University, National Children's Medical Center, Shanghai, China.
Children's Hospital of Fudan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Metagenomic next-generation sequencing (mNGS) is a powerful method for pathogen detection in various infections. In this study, we assessed the value of mNGS in the pathogen diagnosis and microbiome analysis of pneumonia in pediatric intensive care units (PICU) using bronchoalveolar lavage fluid (BALF) samples. Methods: A total of 104 pediatric patients with pneumonia who were admitted into PICU between June 2018 and February 2020 were retrospectively enrolled. Among them, 101 subjects who had intact clinical information were subject to parallel comparison of mNGS and conventional microbiological tests (CMTs) for pathogen detection. The performance was also evaluated and compared between BALF-mNGS and BALF-culture methods. Moreover, the diversity and structure of all 104 patients' lung BALF microbiomes were explored using the mNGS data. Results: Combining the findings of mNGS and CMTs, 94.06% (95/101) pneumonia cases showed evidence of causative pathogenic infections, including 79.21% (80/101) mixed and 14.85% (15/101) single infections. Regarding the pathogenesis of pneumonia in the PICU, the fungal detection rates were significantly higher in patients with immunodeficiency (55.56% vs. 25.30%, P =0.025) and comorbidities (40.30% vs. 11.76%, P=0.007). There were no significant differences in the α-diversity either between patients with CAP and HAP or between patients with and without immunodeficiency. Regarding the diagnostic performance, the detection rate of DNA-based BALF-mNGS was slightly higher than that of the BALF-culture although statistically insignificant (81.82% vs.77.92%, P=0.677) and was comparable to CMTs (81.82% vs. 89.61%, P=0.211). The overall sensitivity of DNA-based mNGS was 85.14% (95% confidence interval [CI]: 74.96%-92.34%). The detection rate of RNA-based BALF-mNGS was the same with CMTs (80.00% vs 80.00%, P>0.999) and higher than BALF-culture (80.00% vs 52.00%, P=0.045), with a sensitivity of 90.91% (95%CI: 70.84%-98.88%). Conclusions: mNGS is valuable in the etiological diagnosis of pneumonia, especially in fungal infections, and can reveal pulmonary microecological characteristics. For pneumonia patients in PICU, the mNGS should be implemented early and complementary to CMTs.

Indexed as

MicrobiotaPneumoniaBronchoalveolar Lavage FluidChildHigh-Throughput Nucleotide SequencingHumansIntensive Care Units, PediatricLungRetrospective Studiesbronchoalveolar lavage fluiddiagnosislung microbiomemetagenomic next-generation sequencingpediatric intensive care unitpneumonia

Identifiers

PMID37655299
PMCPMC10466250
OpenAlexW4385951306

What OpenQuestion holds

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LicenceCC BY
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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.