Evidence map›Paper›PMID 31961231›Full record

ArticleJournal of food protection2020

Distribution of Antimicrobial Resistance Genes Across Salmonella enterica Isolates from Animal and Nonanimal Foods.

J B Pettengill, H Tate, K Gensheimer, C H Hsu, J Ihrie, A O Markon, P F McDERMOTT, S Zhao, E Strain, M C Bazaco

Open access · greenAbstract read
In one paragraph

Article in Journal of food protection, 2020. 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
1.9field-weighted citation impact, top 15% 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

7 citing papers in PubMed, 18 citations in OpenAlex.

  1. Applied and environmental microbiology · 2025
    Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. What WGS Reveals aboutMicroorganisms · 2021
    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

10 authors at 3 institutions in 1 country.

J B PettengillBiostatistics and Bioinformatics Staff, U.S. Food and Drug Administration, 5001 Campus Drive, College Park, Maryland 20740.
H TateCenter for Veterinary Medicine, U.S. Food and Drug Administration, 8401 Muirkirk Road, Laurel, Maryland 20708, USA.
K GensheimerEpidemiology Branch, Division of Public Health Informatics and Analytics, Office of Analytics and Outreach, Center for Food Safety and Applied Nutrition, U.S. Food and Drug Administration, 5001 Campus Drive, College Park, Maryland 20740.
C H HsuCenter for Veterinary Medicine, U.S. Food and Drug Administration, 8401 Muirkirk Road, Laurel, Maryland 20708, USA.
J IhrieBiostatistics and Bioinformatics Staff, U.S. Food and Drug Administration, 5001 Campus Drive, College Park, Maryland 20740.
A O MarkonBiostatistics and Bioinformatics Staff, U.S. Food and Drug Administration, 5001 Campus Drive, College Park, Maryland 20740.
P F McDERMOTTCenter for Veterinary Medicine, U.S. Food and Drug Administration, 8401 Muirkirk Road, Laurel, Maryland 20708, USA.
S ZhaoCenter for Veterinary Medicine, U.S. Food and Drug Administration, 8401 Muirkirk Road, Laurel, Maryland 20708, USA.
E StrainCenter for Veterinary Medicine, U.S. Food and Drug Administration, 8401 Muirkirk Road, Laurel, Maryland 20708, USA.
M C BazacoEpidemiology Branch, Division of Public Health Informatics and Analytics, Office of Analytics and Outreach, Center for Food Safety and Applied Nutrition, U.S. Food and Drug Administration, 5001 Campus Drive, College Park, Maryland 20740.
Center for Veterinary Medicine · USUnited States Food and Drug Administration · USCenter for Food Safety and Applied Nutrition · US

Funding

Intramural FDA HHS FD999999
6 · The paper itself

Abstract

abstractAntimicrobial-resistant bacteria are a major public health problem. Of particular importance in the context of food safety is the prevalence of antimicrobial resistance (AMR) genes within nontyphoidal Salmonella, which is a leading bacterial cause of foodborne disease. We determined the prevalence of AMR genes across a very large number of Salmonella genomes (n = 25,647) collected from isolates from 16 common food sources. The average percentage of isolates from nonanimal foods, such as fruit, nuts and seeds, and vegetables, harboring at least one AMR gene was only marginally lower (72%) than that observed in isolates from animal foods such as beef, chicken, turkey, and pork (74%). This high prevalence of AMR genes was primarily driven by the high prevalence of aminoglycoside resistance genes in nearly all food isolates; genes for resistance to tetracycline and sulfonamide also were highly prevalent. However, evaluation of the number of genes per isolate revealed that the prevalence of AMR genes was higher in animal food isolates than in nonanimal food isolates (P = 0.018). A random forest analysis provided evidence that within a given serovar, resistance gene profiles differed according to isolate food source. AMR gene profiles could be used to correctly predict the food of origin for 71% of the isolates, but success differed according to serovar. This information can help inform AMR risk assessments of food commodities and refine processes for targeting interventions to limit the spread of AMR through the food supply. HIGHLIGHTS:

Indexed as

Antimicrobial resistanceFoodPublic healthSalmonellaWhole genome sequencing

Identifiers

PMID31961231
PMCPMC9341236
OpenAlexW3001114739

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.