Evidence map›Paper›PMID 28221911›Full record

ArticleJournal of food protection2016

Molecular Subtyping and Source Attribution of Campylobacter Isolated from Food Animals.

Gregory H Tyson, Heather P Tate, Jason Abbott, Thu-Thuy Tran, Claudine Kabera, Emily Crarey, Shenia Young, Patrick F McDermott, Grisselle Sprague, Mark Campbell and 5 more

Open access · greenAbstract read
In one paragraph

Article in Journal of food protection, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.2field-weighted citation impact, top 12% 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

8 citing papers in PubMed, 14 citations in OpenAlex.

  1. Detection ofVeterinary world · 2024
    Article
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  5. Article
  6. Article
  7. High Prevalence of Fluoroquinolone-ResistantApplied and environmental microbiology · 2019
    Article
  8. 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

15 authors at 2 institutions in 1 country.

Gregory H TysonU.S. Food and Drug Administration, Center for Veterinary Medicine, 8401 Muirkirk Road, Laurel, Maryland 20708.
Heather P TateU.S. Food and Drug Administration, Center for Veterinary Medicine, 8401 Muirkirk Road, Laurel, Maryland 20708.
Jason AbbottU.S. Food and Drug Administration, Center for Veterinary Medicine, 8401 Muirkirk Road, Laurel, Maryland 20708.
Thu-Thuy TranU.S. Food and Drug Administration, Center for Veterinary Medicine, 8401 Muirkirk Road, Laurel, Maryland 20708.
Claudine KaberaU.S. Food and Drug Administration, Center for Veterinary Medicine, 8401 Muirkirk Road, Laurel, Maryland 20708.
Emily CrareyU.S. Food and Drug Administration, Center for Veterinary Medicine, 8401 Muirkirk Road, Laurel, Maryland 20708.
Shenia YoungU.S. Food and Drug Administration, Center for Veterinary Medicine, 8401 Muirkirk Road, Laurel, Maryland 20708.
Patrick F McDermottU.S. Food and Drug Administration, Center for Veterinary Medicine, 8401 Muirkirk Road, Laurel, Maryland 20708.
Grisselle SpragueU.S. Department of Agriculture, Food Safety and Inspection Service, 950 College Station Road, Athens, Georgia 30601, USA.
Mark CampbellU.S. Department of Agriculture, Food Safety and Inspection Service, 950 College Station Road, Athens, Georgia 30601, USA.
Oyewole AdeyemoU.S. Department of Agriculture, Food Safety and Inspection Service, 950 College Station Road, Athens, Georgia 30601, USA.
Johnette Browne-SilvaU.S. Department of Agriculture, Food Safety and Inspection Service, 950 College Station Road, Athens, Georgia 30601, USA.
Michael MyersU.S. Department of Agriculture, Food Safety and Inspection Service, 950 College Station Road, Athens, Georgia 30601, USA.
Sutawee ThitaramU.S. Department of Agriculture, Food Safety and Inspection Service, 950 College Station Road, Athens, Georgia 30601, USA.
Shaohua ZhaoU.S. Food and Drug Administration, Center for Veterinary Medicine, 8401 Muirkirk Road, Laurel, Maryland 20708.
Center for Veterinary Medicine · USFood Safety and Inspection Service · US

Funding

Intramural FDA HHS FD999999
6 · The paper itself

Abstract

Campylobacter spp. commonly cause gastrointestinal illness in humans. Poultry meats have long been considered the predominant source of these infections, but few in-depth Campylobacter source attribution studies have been completed. We analyzed more than 1,300 Campylobacter isolates recovered from a number of animal and food sources, including dairy and beef cattle, pigs, poultry, and retail poultry meat, and compared them with Campylobacter isolates recovered from human clinical samples. Each isolate was subtyped using pulsed-field gel electrophoresis (PFGE) with SmaI and queried against the Centers for Disease Control and Prevention PulseNet database to identify human isolates with indistinguishable patterns. Half (49.5%) of the PFGE patterns from poultry animal and retail meat isolates were indistinguishable from patterns of at least one human isolate. Among the isolates from beef and dairy cows, 56.6 and 65.0%, respectively, of their PFGE patterns were indistinguishable from those of human isolates. Only a small portion of the PFGE patterns of Campylobacter isolated from pigs (9.5%) were found to have PFGE patterns in common with human isolates. These data imply that cattle may be larger contributors to Campylobacter infections than previously recognized and help further our understanding of potential sources of human campylobacteriosis.

Indexed as

Food MicrobiologyAnimalsCampylobacterCampylobacter InfectionsCampylobacter jejuniCattleElectrophoresis, Gel, Pulsed-FieldFemaleGenotypeHumansMeatSwineCampylobacterFood animalsPulsed-field gel electrophoresisSource attribution

Identifiers

PMID28221911
PMCPMC11555755
OpenAlexW2558833525

What OpenQuestion holds

Textmetadata
LicenceTDM
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.