Evidence map›Paper›PMID 38910493›Full record

ReviewJournal of Zhejiang University. Science. B2024

Clinical applications of metagenomics next-generation sequencing in infectious diseases.

Ying Liu, Yongjun Ma

Abstract readReview
In one paragraph

Review in Journal of Zhejiang University. Science. B, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
–field-weighted citation impact
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

16 citing papers in PubMed.

  1. Clinical utility of metagenomic next-generation sequencing in precision diagnosis of infectious diseases: a retrospective study based on bronchoalveolar lavage fluid, blood, and cerebrospinal fluid.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2026
    Article
  2. Diabetes-associatedMicrobiology spectrum · 2026
    Observational
  3. Development and validation of a nomogram for differential diagnosis of pyogenic spondylitis and tuberculous spondylitis in China: a multicenter retrospective study.European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society · 2026
    Article
  4. Article
  5. Review
  6. Article
  7. Review
  8. Review
  9. Cross-sectional Study: Diagnostic Accuracy of Next-generation Sequencing in a Tertiary Care Intensive Care Unit.Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine · 2025
    Article
  10. Article
  11. Article
  12. Case Report: Pulmonary mixed infection byFrontiers in immunology · 2025
    Article
  13. Article
  14. Frontiers in medicine · 2025
    Article
  15. Article
  16. 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

2 authors.

Ying LiuDepartment of Clinical Laboratory, Affiliated Jinhua Hospital, Zhejiang University School of Medicine, Jinhua 321000, China.
Yongjun MaDepartment of Clinical Laboratory, Affiliated Jinhua Hospital, Zhejiang University School of Medicine, Jinhua 321000, China. jhmyj71@sina.cn.

Funding

the Jinhua Science and Technology Planning Project Social Development Key Project 2021-3-072the Medicine and Health, Science and Technology Plan Project of Zhejiang 2020KY1009 and 2021KY387
6 · The paper itself

Abstract

Infectious diseases are a great threat to human health. Rapid and accurate detection of pathogens is important in the diagnosis and treatment of infectious diseases. Metagenomics next-generation sequencing (mNGS) is an unbiased and comprehensive approach for detecting all RNA and DNA in a sample. With the development of sequencing and bioinformatics technologies, mNGS is moving from research to clinical application, which opens a new avenue for pathogen detection. Numerous studies have revealed good potential for the clinical application of mNGS in infectious diseases, especially in difficult-to-detect, rare, and novel pathogens. However, there are several hurdles in the clinical application of mNGS, such as: (1) lack of universal workflow validation and quality assurance; (2) insensitivity to high-host background and low-biomass samples; and (3) lack of standardized instructions for mass data analysis and report interpretation. Therefore, a complete understanding of this new technology will help promote the clinical application of mNGS to infectious diseases. This review briefly introduces the history of next-generation sequencing, mainstream sequencing platforms, and mNGS workflow, and discusses the clinical applications of mNGS to infectious diseases and its advantages and disadvantages.

Indexed as

Communicable DiseasesHigh-Throughput Nucleotide SequencingMetagenomicsComputational BiologyHumansWorkflowCerebrospinal fluid (CSF)Infectious diseaseMetagenomics next-generation sequencing (mNGS)MicrobiomeOxford Nanopore Technologies (ONT)

Identifiers

PMID38910493
PMCPMC11199093

What OpenQuestion holds

Textmetadata
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.