Evidence map›Paper›PMID 27342555›Full record

ArticleApplied and environmental microbiology2016

Factors Associated with Shiga Toxin-Producing Escherichia coli Shedding by Dairy and Beef Cattle.

Cristina Venegas-Vargas, Scott Henderson, Akanksha Khare, Rebekah E Mosci, Jonathan D Lehnert, Pallavi Singh, Lindsey M Ouellette, Bo Norby, Julie A Funk, Steven Rust and 3 more

Open access · bronzeAbstract read
In one paragraph

Article in Applied and environmental microbiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed
6.4field-weighted citation impact, top 3% 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

44 citing papers in PubMed, 81 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Prevalence of Shiga-ToxigenicMicroorganisms · 2025
    Article
  8. An outbreak of Shiga toxin-producingEpidemiology and infection · 2025
    Article
  9. Article
  10. Review
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Transforming Shiga toxin-producingFrontiers in microbiology · 2023
    Article
  17. Prevalence and Implications of Shiga Toxin-ProducingPathogens (Basel, Switzerland) · 2022
    Review
  18. The Ability of Shiga Toxin-ProducingFoods (Basel, Switzerland) · 2022
    Article
  19. Review
  20. Risk factors of Shiga toxin-producingEpidemiology and infection · 2022
    Article
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

13 authors at 1 institution in 1 country.

Cristina Venegas-VargasDepartment of Large Animal Clinical Sciences, College of Veterinary Medicine, Michigan State University, East Lansing, Michigan, USA.
Scott HendersonDepartment of Large Animal Clinical Sciences, College of Veterinary Medicine, Michigan State University, East Lansing, Michigan, USA Department of Microbiology and Molecular Genetics, Michigan State University, East Lansing, Michigan, USA.
Akanksha KhareDepartment of Microbiology and Molecular Genetics, Michigan State University, East Lansing, Michigan, USA.
Rebekah E MosciDepartment of Microbiology and Molecular Genetics, Michigan State University, East Lansing, Michigan, USA.
Jonathan D LehnertDepartment of Microbiology and Molecular Genetics, Michigan State University, East Lansing, Michigan, USA.
Pallavi SinghDepartment of Microbiology and Molecular Genetics, Michigan State University, East Lansing, Michigan, USA.
Lindsey M OuelletteDepartment of Microbiology and Molecular Genetics, Michigan State University, East Lansing, Michigan, USA.
Bo NorbyDepartment of Large Animal Clinical Sciences, College of Veterinary Medicine, Michigan State University, East Lansing, Michigan, USA.
Julie A FunkDepartment of Large Animal Clinical Sciences, College of Veterinary Medicine, Michigan State University, East Lansing, Michigan, USA.
Steven RustDepartment of Animal Science, Michigan State University, East Lansing, Michigan, USA.
Paul C BartlettDepartment of Large Animal Clinical Sciences, College of Veterinary Medicine, Michigan State University, East Lansing, Michigan, USA.
Daniel GroomsDepartment of Large Animal Clinical Sciences, College of Veterinary Medicine, Michigan State University, East Lansing, Michigan, USA.
Shannon D ManningDepartment of Microbiology and Molecular Genetics, Michigan State University, East Lansing, Michigan, USA mannin71@msu.edu.
Michigan State University · US

Funding

The Impact of Microbiome Composition, Diversity, and Function on Enteric DiseaseU19AI090872 · NIAID · MICHIGAN STATE UNIVERSITY · PI MANSFIELD, LINDA S. · 2010 to 2014
$7.1M
NIAID NIH HHS U19 AI090872
6 · The paper itself

Abstract

unlabelledShiga toxin-producing Escherichia coli (STEC) is an important foodborne pathogen that can cause hemorrhagic colitis and hemolytic-uremic syndrome. Cattle are the primary reservoir for STEC, and food or water contaminated with cattle feces is the most common source of infections in humans. Consequently, we conducted a cross-sectional study of 1,096 cattle in six dairy herds (n = 718 animals) and five beef herds (n = 378 animals) in the summers of 2011 and 2012 to identify epidemiological factors associated with shedding. Fecal samples were obtained from each animal and cultured for STEC. Multivariate analyses were performed to identify risk factors associated with STEC positivity. The prevalence of STEC was higher in beef cattle (21%) than dairy cattle (13%) (odds ratio [OR], 1.76; 95% confidence interval [CI], 1.25, 2.47), with considerable variation occurring across herds (range, 6% to 54%). Dairy cattle were significantly more likely to shed STEC when the average temperature was >28.9°C 1 to 5 days prior to sampling (OR, 2.5; 95% CI, 1.25, 4.91), during their first lactation (OR, 1.8; 95% CI, 1.1, 2.8), and when they were <30 days in milk (OR, 3.9; 95% CI, 2.1, 7.2). These data suggest that the stress or the negative energy balance associated with lactation may result in increased STEC shedding frequencies in Michigan during the warm summer months. Future prevention strategies aimed at reducing stress during lactation or isolating high-risk animals could be implemented to reduce herd-level shedding levels and avoid transmission of STEC to susceptible animals and people. IMPORTANCE: STEC shedding frequencies vary considerably across cattle herds in Michigan, and the shedding frequency of strains belonging to non-O157 serotypes far exceeds the shedding frequency of O157 strains, which is congruent with human infections in the state. Dairy cattle sampled at higher temperatures, in their first lactation, and early in the milk production stage were significantly more likely to shed STEC, which could be due to stress or a negative energy balance. Future studies should focus on the isolation of high-risk animals to decrease herd shedding levels and the potential for contamination of the food supply.

Indexed as

Bacterial SheddingAnimalsCattleCattle DiseasesCross-Sectional StudiesDairyingEscherichia coli InfectionsFemaleHemolytic-Uremic SyndromeMichiganPrevalenceShiga-Toxigenic Escherichia coli

Identifiers

PMID27342555
PMCPMC4968536
OpenAlexW2466097969

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.