Evidence map›Paper›PMID 28930002›Full record

ArticleEmerging infectious diseases2017

Investigation of Outbreaks of Salmonella enterica Serovar Typhimurium and Its Monophasic Variants Using Whole-Genome Sequencing, Denmark.

Pernille Gymoese, Gitte Sørensen, Eva Litrup, John Elmerdal Olsen, Eva Møller Nielsen, Mia Torpdahl

Abstract read
In one paragraph

Article in Emerging infectious diseases, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing 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

36 citing papers in PubMed.

  1. Article
  2. Article
  3. Genomic epidemiology ofFrontiers in microbiology · 2026
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  7. Article
  8. Characterization of MLST-99Microbiology (Reading, England) · 2024
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. K-mer based prediction ofMicrobial genomics · 2022
    Article
  14. Article
  15. Article
  16. Article
  17. Genomic Characterization ofPathogens (Basel, Switzerland) · 2021
    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

6 authors.

Pernille Gymoese
Gitte Sørensen
Eva Litrup
John Elmerdal Olsen
Eva Møller Nielsen
Mia Torpdahl

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Whole-genome sequencing is rapidly replacing current molecular typing methods for surveillance purposes. Our study evaluates core-genome single-nucleotide polymorphism analysis for outbreak detection and linking of sources of Salmonella enterica serovar Typhimurium and its monophasic variants during a 7-month surveillance period in Denmark. We reanalyzed and defined 8 previously characterized outbreaks from the phylogenetic relatedness of the isolates, epidemiologic data, and food traceback investigations. All outbreaks were identified, and we were able to exclude unrelated and include additional related human cases. We were furthermore able to link possible food and veterinary sources to the outbreaks. Isolates clustered according to sequence types (STs) 19, 34, and 36. Our study shows that core-genome single-nucleotide polymorphism analysis is suitable for surveillance and outbreak investigation for Salmonella Typhimurium (ST19 and ST36), but whole genome-wide analysis may be required for the tight genetic clone of monophasic variants (ST34).

Indexed as

Disease OutbreaksWhole Genome SequencingAnimalsCattleDenmarkDNA, BacterialEpidemiological MonitoringFood MicrobiologyHumansMeatMolecular EpidemiologyPhylogenyPolymorphism, Single NucleotideSalmonella InfectionsSalmonella typhimuriumSerogroupDNA, BacterialbacteriaDenmarkfoodborne diseasefood safetygenomicsMLVAmolecular typingmonophasic variantsmultilocus variable-number tandem-repeat analysisoutbreaksSalmonella Typhimuriumsequence analysissingle-nucleotide polymorphismSNPsurveillancewhole-genome sequencing

Identifiers

PMID28930002
PMCPMC5621559

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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.