Evidence map›Paper›PMID 28639162›Full record

ReviewEuropean journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology2017

Bacterial genome sequencing in clinical microbiology: a pathogen-oriented review.

F Tagini, G Greub

Open access · hybridAbstract readReview
In one paragraph

Review in European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 60 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
60citing papers in PubMed, 2 pooled it
10.3field-weighted citation impact, top 1% 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

60 citing papers in PubMed, 2 syntheses or guidelines pooled it, 128 citations in OpenAlex.

  1. Pooled it
  2. The Role of Genital Tract Microbiome in Fertility: A Systematic Review.International journal of molecular sciences · 2021
    Pooled it
  3. Article
  4. Phenotypic, Genetic, and Virulence Characterization ofPathogens (Basel, Switzerland) · 2026
    Article
  5. Review
  6. Animals : an open access journal from MDPI · 2026
    Review
  7. Review
  8. Review
  9. Review
  10. Article
  11. Review
  12. Genomic diversity and tracing ofMicrobial genomics · 2025
    Article
  13. Review
  14. Review
  15. Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. Review
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 at 1 institution in 1 country.

F TaginiInstitute of Microbiology, Department of Laboratory, University of Lausanne & University Hospital, Lausanne, Switzerland.
G GreubInstitute of Microbiology, Department of Laboratory, University of Lausanne & University Hospital, Lausanne, Switzerland. gilbert.greub@chuv.ch.ORCID http://orcid.org/0000-0001-9529-3317
University of Lausanne · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In recent years, whole-genome sequencing (WGS) has been perceived as a technology with the potential to revolutionise clinical microbiology. Herein, we reviewed the literature on the use of WGS for the most commonly encountered pathogens in clinical microbiology laboratories: Escherichia coli and other Enterobacteriaceae, Staphylococcus aureus and coagulase-negative staphylococci, streptococci and enterococci, mycobacteria and Chlamydia trachomatis. For each pathogen group, we focused on five different aspects: the genome characteristics, the most common genomic approaches and the clinical uses of WGS for (i) typing and outbreak analysis, (ii) virulence investigation and (iii) in silico antimicrobial susceptibility testing. Of all the clinical usages, the most frequent and straightforward usage was to type bacteria and to trace outbreaks back. A next step toward standardisation was made thanks to the development of several new genome-wide multi-locus sequence typing systems based on WGS data. Although virulence characterisation could help in various particular clinical settings, it was done mainly to describe outbreak strains. An increasing number of studies compared genotypic to phenotypic antibiotic susceptibility testing, with mostly promising results. However, routine implementation will preferentially be done in the workflow of particular pathogens, such as mycobacteria, rather than as a broadly applicable generic tool. Overall, concrete uses of WGS in routine clinical microbiology or infection control laboratories were done, but the next big challenges will be the standardisation and validation of the procedures and bioinformatics pipelines in order to reach clinical standards.

Indexed as

BacteriaBase SequenceGenome, BacterialHigh-Throughput Nucleotide SequencingHumansMultilocus Sequence TypingVirulenceClinical microbiologyGenomicsNext-generation sequencingWhole-genome sequencing

Identifiers

PMID28639162
PMCPMC5653721
OpenAlexW2635422715

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.