Evidence map›Paper›PMID 31388433›Full record

ArticleNew microbes and new infections2019

Whole-genome sequencing for rapid, reliable and routine investigation of

F Zakham, S Laurent, A L Esteves Carreira, A Corbaz, C Bertelli, E Masserey, L Nicod, G Greub, K Jaton, J Mazza-Stalder and 1 more

Abstract read
In one paragraph

Article in New microbes and new infections, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 2 pooled it
–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

13 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Microbial genomics · 2025
    Pooled it
  2. Pooled it
  3. Article
  4. Laboratory tools for the direct detection of bacterial respiratory infections and antimicrobial resistance: a scoping review.Journal of veterinary diagnostic investigation : official publication of the American Association of Veterinary Laboratory Diagnosticians, Inc · 2024
    Article
  5. Review
  6. Whole genome sequencing improves the discrimination betweenOne health (Amsterdam, Netherlands) · 2023
    Article
  7. Review
  8. Article
  9. Article
  10. Genotyping and drug susceptibility testing ofNew microbes and new infections · 2020
    Article
  11. Review
  12. Review
  13. NGS-BasedFrontiers in microbiology · 2020
    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

11 authors.

F ZakhamInstitute of Microbiology, University of Lausanne and University Hospital of Lausanne, Lausanne Switzerland.
S LaurentInstitute of Microbiology, University of Lausanne and University Hospital of Lausanne, Lausanne Switzerland.
A L Esteves CarreiraDepartment of Pneumology, University of Lausanne and University Hospital of Lausanne, Lausanne Switzerland.
A CorbazDepartment of Pneumology, University of Lausanne and University Hospital of Lausanne, Lausanne Switzerland.
C BertelliInstitute of Microbiology, University of Lausanne and University Hospital of Lausanne, Lausanne Switzerland.
E MassereyPublic Health Department, Canton of Vaud, Lausanne Switzerland.
L NicodDepartment of Pneumology, University of Lausanne and University Hospital of Lausanne, Lausanne Switzerland.
G GreubInstitute of Microbiology, University of Lausanne and University Hospital of Lausanne, Lausanne Switzerland.
K JatonInstitute of Microbiology, University of Lausanne and University Hospital of Lausanne, Lausanne Switzerland.
J Mazza-StalderDepartment of Pneumology, University of Lausanne and University Hospital of Lausanne, Lausanne Switzerland.
O OpotaInstitute of Microbiology, University of Lausanne and University Hospital of Lausanne, Lausanne Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Contact investigations following the diagnosis of active tuberculosis (TB) are paramount for the control of the disease. Epidemiological data are very powerful for contact tracing but might be delayed and/or difficult to integrate, especially in the setting of multiple contact-tracing investigations. The aim of this study was to address the added-value of whole-genome sequencing (WGS) to routine local TB surveillance systems. From November 2016 to July 2017, the local TB surveillance system identified three clusters that could constitute a unique larger outbreak. Epidemiological and clinical information were integrated with WGS genotyping data of

Indexed as

Contact investigationgenotyping outbreakmolecular epidemiologyMycobacterium tuberculosiswhole-genome sequencing

Identifiers

PMID31388433
PMCPMC6669808

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.