Evidence map›Paper›PMID 38030674›Full record

ArticleScientific reports2023

Distance and destination of retail meat alter multidrug resistant contamination in the United States food system.

Gabriel K Innes, Andrew N Patton, Keeve E Nachman, Joan A Casey, G Sean Stapleton, Alison G Abraham, Lance B Price, Sara Y Tartof, Meghan F Davis

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.4field-weighted citation impact, top 18% 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

4 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Antibiogram profile ofVeterinary world · 2025
    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

9 authors at 5 institutions in 1 country.

Gabriel K InnesJohns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA. ginnes@arizona.edu.
Andrew N PattonUniversity of San Francisco Geospatial Analysis Lab, San Francisco, CA, USA.
Keeve E NachmanJohns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Joan A CaseyDepartment of Environmental & Occupational Health Sciences, University of Washington, Seattle, WA, USA.
G Sean StapletonJohns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Alison G AbrahamDepartment of Epidemiology, Colorado School of Public Health, Aurora, CO, USA.
Lance B PriceMilken Institute School of Public Health, George Washington University, Washington, DC, USA.
Sara Y TartofKaiser Permanente Southern California, Pasadena, CA, USA.
Meghan F DavisJohns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Johns Hopkins University · USGeorge Washington University · USKaiser Permanente · USUniversity of San Francisco · USUniversity of Washington · US

Funding

XENOBIOTIC BIOTRANSFORMATION AND DISPOSITIONP30ES007033 · NIEHS · UNIVERSITY OF WASHINGTON · PI Sheela Sathyanarayana · 1995 to 2026
$42.5M
Antimicrobial resistant E. coli before and after California Senate bill 27 (ARES): a natural experimentR01AI130066 · NIAID · KAISER FOUNDATION RESEARCH INSTITUTE · PI TARTOF, SARA · 2017 to 2021
$3.8M
Effects of pest and pet animal microbiota on child microbiota and asthma: a one health studyK01OD019918 · OD · JOHNS HOPKINS UNIVERSITY · PI DAVIS, MEGHAN F. · 2016 to 2020
$621k
NIAID NIH HHS R01 AI130066NIEHS NIH HHS P30 ES007033NIH HHS K01 OD019918
6 · The paper itself

Abstract

Antibiotic-resistant infections are a global concern, especially those caused by multidrug-resistant (MDR) bacteria, defined as those resistant to more than three drug classes. The animal agriculture industry contributes to the antimicrobial resistant foodborne illness burden via contaminated retail meat. In the United States, retail meat is shipped across the country. Therefore, understanding geospatial factors that influence MDR bacterial contamination is vital to protect consumers and inform interventions. Using data available from the United States Food and Drug Administration's National Antimicrobial Resistance Monitoring System (NARMS), we describe retail meat shipping distances using processor and retailer locations and investigated this distance as a risk factor for MDR bacteria meat contamination using log-binomial regression. Meat samples collected during 2012-2014 totaled 11,243, of which 4791 (42.61%) were contaminated with bacteria and 835 (17.43%) of those bacteria were MDR. All examined geospatial factors were associated with MDR bacteria meat contamination. After adjustment for year and meat type, we found higher prevalence of MDR contamination among meat processed in the south (relative adjusted prevalence ratio [aPR] 1.35; 95% CI 1.06-1.73 when compared to the next-highest region), sold in Maryland (aPR 1.12; 95% CI 0.95-1.32 when compared to the next-highest state), and shipped from 194 to 469 miles (aPR 1.59; 95% CI 1.31-1.94 when compared to meats that traveled < 194 miles). However, sensitivity analyses revealed that New York sold the meat with the highest prevalence of MDR Salmonella contamination (4.84%). In this secondary analysis of NARMS data, both geographic location where products were sold and the shipping distance were associated with microbial contamination on retail meat.

Indexed as

Anti-Bacterial AgentsFood MicrobiologyAnimalsChickensDrug Resistance, Multiple, BacterialFood ContaminationMarylandMeatMicrobial Sensitivity TestsSalmonellaUnited StatesAnti-Bacterial Agents

Identifiers

PMID38030674
PMCPMC10687246
OpenAlexW4389142455

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.