Evidence map›Paper›PMID 32497137›Full record

ArticlePloS one2020

Clinical diagnostic application of metagenomic next-generation sequencing in children with severe nonresponding pneumonia.

Heping Wang, Zhiwei Lu, Yaomin Bao, Yonghong Yang, Ronald de Groot, Wenkui Dai, Marien I de Jonge, Yuejie Zheng

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
45citing papers in PubMed, 1 pooled it
6.1field-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

45 citing papers in PubMed, 1 synthesis or guideline pooled it, 63 citations in OpenAlex.

  1. Rapid diagnosis ofFrontiers in cellular and infection microbiology · 2022
    Pooled it
  2. Review
  3. Review
  4. Integrating metagenomics and metatranscriptomics intoThe Journal of general virology · 2026
    Review
  5. Article
  6. Article
  7. Article
  8. Review
  9. Review
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. 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

8 authors at 3 institutions in 3 countries.

Heping WangDepartment of Respiratory Diseases, Shenzhen Children's Hospital, Shenzhen, China.ORCID 0000-0002-9527-1334
Zhiwei LuDepartment of Respiratory Diseases, Shenzhen Children's Hospital, Shenzhen, China.
Yaomin BaoDepartment of Respiratory Diseases, Shenzhen Children's Hospital, Shenzhen, China.
Yonghong YangDepartment of Respiratory Diseases, Shenzhen Children's Hospital, Shenzhen, China.
Ronald de GrootSection Pediatric Infectious Diseases, Laboratory of Medical Immunology, Radboud Center for Infectious Diseases, Radboud university medical center, Nijmegen, The Netherlands.
Wenkui DaiDepartment of Computer Science, City University of Hong Kong, Hong Kong, China.
Marien I de JongeSection Pediatric Infectious Diseases, Laboratory of Medical Immunology, Radboud Center for Infectious Diseases, Radboud university medical center, Nijmegen, The Netherlands.
Yuejie ZhengDepartment of Respiratory Diseases, Shenzhen Children's Hospital, Shenzhen, China.
Shenzhen Children's Hospital · CNRadboud University Nijmegen · NLCity University of Hong Kong · HK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pneumonia is one of the most important causes of morbidity and mortality in children. Identification and characterization of pathogens that cause infections are crucial for accurate treatment and accelerated recovery. However, in most cases, the causative agent cannot be identified, which is partly due to the limited spectrum of pathogens covered by current diagnostics based on nucleic acid amplification. Therefore, in this study, we explored the application of metagenomic next-generation sequencing (mNGS) for the diagnosis of children with severe pneumonia. From April to July 2017, 32 hospitalized children with severe nonresponding pneumonia in Shenzhen Children's Hospital were included in this study. Blood tests were conducted immediately after hospitalization to assess cell counts and inflammatory markers, oropharyngeal swabs were collected to identify common pathogens by qPCR and culture. After bronchoscopy, bronchoalveolar lavage fluid (BALF) samples were collected for further pathogen identification using standardized diagnostic tests and mNGS. Blood tests were normal in 3 of the 32 children. In 9 oropharyngeal swabs, bacterial pathogens were detected, in 5 of these Mycoplasma pneumoniae was detected. Adenovirus was detected in 5 BALF samples, using the Direct Immunofluorescence Assay (DFA). In 15 cases, no common pathogens were found in BALF samples, using the current standard diagnostic tests, while in all 32 BALFs, pathogens were identified using mNGS, including adenovirus, Mycoplasma pneumoniae, Streptococcus pneumoniae, Haemophilus influenzae, Moraxella catarrhalis, cytomegalovirus and bocavirus. This study shows that, with mNGS, the sensitivity of detection of the causative pathogens in children with severe nonresponding pneumonia is significantly improved. In addition, mNGS gives more strain specific information, helps to identify new pathogens and could potentially help to trace and control outbreaks. In this study, we have shown that it is possible to have the results within 24 hours, making the application of mNGS feasible for clinical diagnostics.

Indexed as

CoinfectionBlood Cell CountBronchoalveolar Lavage FluidChildChild, PreschoolChinaDNA, BacterialDNA, ViralFemaleFluorescent Antibody Technique, DirectHumansInfantInpatientsMaleMetagenomeMetagenomicsDNA, BacterialDNA, ViralRNA, Viral

Identifiers

PMID32497137
PMCPMC7272011
OpenAlexW3033271402

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.