Evidence map›Paper›PMID 30307843›Full record

ArticleMicrobial genomics2018

Genomic epidemiology of clinical Campylobacter spp. at a single health trust site.

Steven J Dunn, Ben Pascoe, James Turton, Vicki Fleming, Mathew Diggle, Samuel K Sheppard, Alan McNally, Georgina Manning

Open access · goldAbstract read
In one paragraph

Article in Microbial genomics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.5field-weighted citation impact, top 11% 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

9 citing papers in PubMed, 24 citations in OpenAlex.

  1. Antimicrobial use onFrontiers in microbiology · 2026
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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

8 authors at 5 institutions in 1 country.

Steven J Dunn1​College of Medical and Dental Sciences, Institute of Microbiology and Infection, University of Birmingham, Birmingham, West Midlands, UK.
Ben Pascoe2​University of Bath, Bath, UK.
James Turton3​University of Nottingham, Nottingham, UK.
Vicki Fleming4​Nottingham University Hospitals NHS Trust, Nottingham, UK.
Mathew Diggle4​Nottingham University Hospitals NHS Trust, Nottingham, UK.
Samuel K Sheppard2​University of Bath, Bath, UK.
Alan McNally1​College of Medical and Dental Sciences, Institute of Microbiology and Infection, University of Birmingham, Birmingham, West Midlands, UK.
Georgina Manning5​University of Wolverhampton, Wolverhampton, UK.
Nottingham University Hospitals NHS Trust · GBUniversity of Bath · GBUniversity of Birmingham · GBUniversity of Nottingham · GBUniversity of Wolverhampton · GB

Funding

Medical Research Council G0801929Medical Research Council MR/L015080/1
6 · The paper itself

Abstract

Campylobacter is the leading cause of bacterial enteritis in the developed world, and infections with the organism are largely sporadic in nature. Links between sporadic cases have not been established, with the majority of infections thought to be caused by genetically distinct isolates. Using a read-mapping approach, 158 clinical isolates collected during 2014 from the greater Nottinghamshire area were analysed to assess the local population structure and investigate potential case linkages between sporadic cases of campylobacteriosis. Four instances (2.5 %) of case linkage were observed across the dataset. This study demonstrates that case linkage does occur between sporadic Campylobacter infections, and provides evidence that a dual multi-locus sequence typing/within-lineage single nucleotide polymorphism typing approach to Campylobacter genomic epidemiology provides a benefit to public-health investigations.

Indexed as

Bacterial Typing TechniquesMultilocus Sequence TypingCampylobacterCampylobacter InfectionsEnteritisHumansMolecular EpidemiologyCampylobacterclinicalepidemiologygenomicsUnited KingdomWGS

Identifiers

PMID30307843
PMCPMC6249439
OpenAlexW2895933668

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.