Evidence map›Paper›PMID 25568924›Full record

ArticleEmerging infectious diseases2014

Geographic divergence of bovine and human Shiga toxin–producing Escherichia coli O157:H7 genotypes, New Zealand.

Patricia Jaros, Adrian L Cookson, Donald M Campbell, Gail E Duncan, Deborah Prattley, Philip Carter, Thomas E Besser, Smriti Shringi, Steve Hathaway, Jonathan C Marshall and 1 more

Abstract read
In one paragraph

Article in Emerging infectious diseases, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Shiga Toxin-ProducingMicroorganisms · 2025
    Article
  2. Shiga Toxin-ProducingMicroorganisms · 2025
    Review
  3. Shiga toxin-producingFrontiers in microbiology · 2025
    Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
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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

11 authors.

Patricia JarosMassey University, Palmerston North, New Zealand.
Adrian L Cookson
Donald M Campbell
Gail E Duncan
Deborah Prattley
Philip Carter
Thomas E Besser
Smriti Shringi
Steve Hathaway
Jonathan C Marshall
Nigel P French

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Shiga toxin-producing Escherichia coli (STEC)O157:H7 is a zoonotic pathogen of public health concern worldwide. To compare the local and large-scale geographic distributions of genotypes of STEC O157:H7 isolates obtained from various bovine and human sources during 2008–2011, we used pulsed-field gel electrophoresis and Shiga toxin–encoding bacteriophage insertion (SBI) typing. Using multivariate methods, we compared isolates from the North and South Islands of New Zealand with isolates from Australia and the United States. The STEC O157:H7 population structure differed substantially between the 2 islands and showed evidence of finer scale spatial structuring, which is consistent with highly localized transmission rather than disseminated foodborne outbreaks. The distribution of SBI types differed markedly among isolates from New Zealand, Australia, and the United States. Our findings also provide evidence for the historic introduction into New Zealand of a subset of globally circulating STEC O157:H7 strains that have continued to evolve and be transmitted locally between cattle and humans.

Indexed as

GenotypeAnimalsAustraliaCattleCattle DiseasesEscherichia coli InfectionsEscherichia coli O157Genetic VariationHumansMultilocus Sequence TypingNew ZealandPhylogenyPhylogeographyUnited StatesVirulenceVirulence FactorsVirulence Factors

Identifiers

PMID25568924
PMCPMC4257794

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.