Evidence map›Paper›PMID 38348304›Full record

ReviewFrontiers in microbiology2023

Application of next-generation sequencing to identify different pathogens.

Aljuboori M Nafea, Yuer Wang, Duanyang Wang, Ahmed M Salama, Manal A Aziz, Shan Xu, Yigang Tong

Abstract readReview
In one paragraph

Review in Frontiers in microbiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers.

0numbers the graph read from it
0cells of the map it votes in
51citing 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

51 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Review
  6. Review
  7. Review
  8. Bibliometric Analysis on and Characteristics in Soy Yogurt.Probiotics and antimicrobial proteins · 2026
    Review
  9. Review
  10. Review
  11. Review
  12. Article
  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

7 authors.

Aljuboori M Nafea *College of Life Science and Technology, Beijing University of Chemical Technology, Beijing, China.
Yuer Wang *College of Life Science and Technology, Beijing University of Chemical Technology, Beijing, China.
Duanyang WangCollege of Life Science and Technology, Beijing University of Chemical Technology, Beijing, China.
Ahmed M SalamaState Key Laboratory of Chemical Resource Engineering, Beijing University of Chemical Technology, Beijing, China.
Manal A AzizCollege of Medicine, Department of Microbiology, Ibn Sina University of Medical and Pharmaceutical Science, Baghdad, Iraq.
Shan XuCollege of Life Science and Technology, Beijing University of Chemical Technology, Beijing, China.
Yigang TongCollege of Life Science and Technology, Beijing University of Chemical Technology, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Early and precise detection and identification of various pathogens are essential for epidemiological monitoring, disease management, and reducing the prevalence of clinical infectious diseases. Traditional pathogen detection techniques, which include mass spectrometry, biochemical tests, molecular testing, and culture-based methods, are limited in application and are time-consuming. Next generation sequencing (NGS) has emerged as an essential technology for identifying pathogens. NGS is a cutting-edge sequencing method with high throughput that can create massive volumes of sequences with a broad application prospects in the field of pathogen identification and diagnosis. In this review, we introduce NGS technology in detail, summarizes the application of NGS in that identification of different pathogens, including bacteria, fungi, and viruses, and analyze the challenges and outlook for using NGS to identify clinical pathogens. Thus, this work provides a theoretical basis for NGS studies and provides evidence to support the application of NGS in distinguishing various clinical pathogens.

Indexed as

bacteriafunginext generation sequencingpathogensSanger

Identifiers

PMID38348304
PMCPMC10859930

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.