Evidence map›Paper›PMID 29056694›Full record

ReviewVeterinary sciences2017

Inquiring into the Gaps of Campylobacter Surveillance Methods.

Maria Magana, Stylianos Chatzipanagiotou, Angeliki R Burriel, Anastasios Ioannidis

Abstract readReview
In one paragraph

Review in Veterinary sciences, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. The Distribution ofGenes · 2021
    Article
  6. Article
  7. Review
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

4 authors.

Maria MaganaDepartment of Biopathology and Clinical Microbiology, Aeginition Hospital, Athens Medical School, Athens 15772, Greece. mariamgn91@gmail.com.
Stylianos ChatzipanagiotouDepartment of Biopathology and Clinical Microbiology, Aeginition Hospital, Athens Medical School, Athens 15772, Greece. schatzi@med.uoa.gr.
Angeliki R BurrielDepartment of Nursing, Faculty of Human Movement and Quality of Life Sciences, University of Peloponnese, Sparta 23100, Greece. aburriel@uop.gr.
Anastasios IoannidisDepartment of Biopathology and Clinical Microbiology, Aeginition Hospital, Athens Medical School, Athens 15772, Greece. tasobi@gmail.com.ORCID 0000-0003-1880-7366

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Campylobacter is one of the most common pathogen-related causes of diarrheal illnesses globally and has been recognized as a significant factor of human disease for more than three decades. Molecular typing techniques and their combinations have allowed for species identification among members of the Campylobacter genus with good resolution, but the same tools usually fail to proceed to subtyping of closely related species due to high sequence similarity. This problem is exacerbated by the demanding conditions for isolation and detection from the human, animal or water samples as well as due to the difficulties during laboratory maintenance and long-term storage of the isolates. In an effort to define the ideal typing tool, we underline the strengths and limitations of the typing methodologies currently used to map the broad epidemiologic profile of campylobacteriosis in public health and outbreak investigations. The application of both the old and the new molecular typing tools is discussed and an indirect comparison is presented among the preferred techniques used in current research methodology.

Indexed as

Campylobacteriosisepidemiologyhuman infectionmethodologymolecular typingsurveillancezoonosis

Identifiers

PMID29056694
PMCPMC5644652

What OpenQuestion holds

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LicenceCC BY
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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.