Evidence map›Paper›PMID 37016633›Full record

ArticleInfection and drug resistance2023

Clinical Efficacy and Diagnostic Value of Metagenomic Next-Generation Sequencing for Pathogen Detection in Patients with Suspected Infectious Diseases: A Retrospective Study from a Large Tertiary Hospital.

Yang-Hua Xiao, Mei-Fang Liu, Hongwen Wu, De-Rong Xu, Rui Zhao

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 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
4.2field-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

24 citing papers in PubMed, 22 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Metagenomic Next-Generation Sequencing RevealsInfection and drug resistance · 2025
    Article
  16. Review
  17. Article
  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

5 authors at 1 institution in 1 country.

Yang-Hua XiaoDepartment of Clinical Laboratory, Medical Center for Burn and Plastic Surgery, The First Affiliated Hospital of Nanchang University, Nanchang, People's Republic of China.ORCID 0000-0001-7417-0799
Mei-Fang LiuDepartment of Clinical Laboratory, Medical Center for Burn and Plastic Surgery, The First Affiliated Hospital of Nanchang University, Nanchang, People's Republic of China.
Hongwen WuDepartment of Clinical Laboratory, Medical Center for Burn and Plastic Surgery, The First Affiliated Hospital of Nanchang University, Nanchang, People's Republic of China.
De-Rong XuDepartment of Clinical Laboratory, Medical Center for Burn and Plastic Surgery, The First Affiliated Hospital of Nanchang University, Nanchang, People's Republic of China.
Rui ZhaoDepartment of Clinical Laboratory, Medical Center for Burn and Plastic Surgery, The First Affiliated Hospital of Nanchang University, Nanchang, People's Republic of China.
Nanchang University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Metagenomic next-generation sequencing (mNGS) is a powerful yet unbiased method to identify pathogens in suspected infections. However, little is known about its clinical effectiveness. The present study aimed to assess the efficacy of mNGS in routine clinical practice. Patients and Methods: In this single-center retrospective cohort study, 518 patients with suspected infectious diseases were assessed for inclusion. Among them, each patient had undergone mNGS testing; 407 patients had undergone both microbial culture and mNGS testing. The result of mNGS testing was compared to microbial culture performed concurrently. The diagnostic performance of mNGS was evaluated using the comprehensive clinical diagnosis as the reference standard. Results: There was a significant difference in the positive detection rates of pathogens between mNGS and culture (331/407, 81.3% vs 79/407, 19.4%, Conclusion: Our in-house mNGS platform significantly improved the sensitivity for the diagnosis of infectious diseases. mNGS has the potential to improve clinical outcomes by optimizing antimicrobial therapy.

Indexed as

diagnosticinfectionsmNGSoutcome

Identifiers

PMID37016633
PMCPMC10066896
OpenAlexW4361291782

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.