Evidence map›Paper›PMID 23698529›Full record

ArticleJournal of clinical microbiology2013

Real-time genomic epidemiological evaluation of human Campylobacter isolates by use of whole-genome multilocus sequence typing.

Alison J Cody, Noel D McCarthy, Melissa Jansen van Rensburg, Tomide Isinkaye, Stephen D Bentley, Julian Parkhill, Kate E Dingle, Ian C J W Bowler, Keith A Jolley, Martin C J Maiden

Open access · bronzeAbstract readEvaluation Study
In one paragraph

Article in Journal of clinical microbiology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 82 papers.

0numbers the graph read from it
0cells of the map it votes in
82citing papers in PubMed
30.6field-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

82 citing papers in PubMed, 134 citations in OpenAlex.

  1. AcceleratingProceedings of the National Academy of Sciences of the United States of America · 2026
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  3. The Clonal Spread and Persistence ofPathogens (Basel, Switzerland) · 2025
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  10. Genomic Screening of Antimicrobial Resistance Markers in UK and USAntimicrobial agents and chemotherapy · 2022
    Article
  11. Article
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  14. Review
  15. Article
  16. Select Phytochemicals ReduceFrontiers in microbiology · 2021
    Article
  17. Article
  18. Article
  19. Large waterborneEuro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin · 2020
    Article
  20. Article

22 more citing papers are in PubMed but not listed here.

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

10 authors at 4 institutions in 1 country.

Alison J CodyDepartment of Zoology, University of Oxford, Oxford, United Kingdom.
Noel D McCarthy
Melissa Jansen van Rensburg
Tomide Isinkaye
Stephen D Bentley
Julian Parkhill
Kate E Dingle
Ian C J W Bowler
Keith A Jolley
Martin C J Maiden
University of Oxford · GBWellcome Sanger Institute · GBJohn Radcliffe Hospital · GBNational Institute for Health Research · GB

Funding

Wellcome Trust 087622Wellcome Trust 098051
6 · The paper itself

Abstract

Sequence-based typing is essential for understanding the epidemiology of Campylobacter infections, a major worldwide cause of bacterial gastroenteritis. We demonstrate the practical and rapid exploitation of whole-genome sequencing to provide routine definitive characterization of Campylobacter jejuni and Campylobacter coli for clinical and public health purposes. Short-read data from 384 Campylobacter clinical isolates collected over 4 months in Oxford, United Kingdom, were assembled de novo. Contigs were deposited at the pubMLST.org/campylobacter website and automatically annotated for 1,667 loci. Typing and phylogenetic information was extracted and comparative analyses were performed for various subsets of loci, up to the level of the whole genome, using the Genome Comparator and Neighbor-net algorithms. The assembled sequences (for 379 isolates) were diverse and resembled collections from previous studies of human campylobacteriosis. Small subsets of very closely related isolates originated mainly from repeated sampling from the same patients and, in one case, likely laboratory contamination. Much of the within-patient variation occurred in phase-variable genes. Clinically and epidemiologically informative data can be extracted from whole-genome sequence data in real time with straightforward, publicly available tools. These analyses are highly scalable, are transparent, do not require closely related genome reference sequences, and provide improved resolution (i) among Campylobacter clonal complexes and (ii) between very closely related isolates. Additionally, these analyses rapidly differentiated unrelated isolates, allowing the detection of single-strain clusters. The approach is widely applicable to analyses of human bacterial pathogens in real time in clinical laboratories, with little specialist training required.

Indexed as

Campylobacter coliCampylobacter InfectionsCampylobacter jejuniCluster AnalysisGenome, BacterialGenotypeHumansMolecular EpidemiologyMultilocus Sequence TypingPhylogenyTime FactorsUnited Kingdom

Identifiers

PMID23698529
PMCPMC3719633
OpenAlexW2024650570

What OpenQuestion holds

Textmetadata
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.