Evidence map›Paper›PMID 34424041›Full record

ArticleAntimicrobial agents and chemotherapy2021

Antibiotic Susceptibility Profiles and Frequency of Resistance Genes in Clinical Shiga Toxin-Producing Escherichia coli Isolates from Michigan over a 14-Year Period.

Sanjana Mukherjee, Heather M Blankenship, Jose A Rodrigues, Rebekah E Mosci, James T Rudrik, Shannon D Manning

Open access · greenAbstract read
In one paragraph

Article in Antimicrobial agents and chemotherapy, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.8field-weighted citation impact, top 28% 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

6 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
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  5. Article
  6. Transforming Shiga toxin-producingFrontiers in microbiology · 2023
    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

6 authors at 2 institutions in 1 country.

Sanjana MukherjeeDepartment of Microbiology and Molecular Genetics, Michigan State Universitygrid.17088.36, East Lansing, Michigan, USA.
Heather M BlankenshipDepartment of Microbiology and Molecular Genetics, Michigan State Universitygrid.17088.36, East Lansing, Michigan, USA.
Jose A RodriguesDepartment of Microbiology and Molecular Genetics, Michigan State Universitygrid.17088.36, East Lansing, Michigan, USA.
Rebekah E MosciDepartment of Microbiology and Molecular Genetics, Michigan State Universitygrid.17088.36, East Lansing, Michigan, USA.
James T RudrikMichigan Department of Health and Human Services (MDHHS), Bureau of Laboratories, Lansing, Michigan, USA.
Shannon D ManningDepartment of Microbiology and Molecular Genetics, Michigan State Universitygrid.17088.36, East Lansing, Michigan, USA.ORCID 0000-0001-9581-0660
Michigan State University · USMichigan Department of Health and Human Services · 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
HHS | National Institutes of Health (NIH) U19AI090872Michigan State University Foundation (MSUF) SDMMichigan State University (MSU) Department of Microbiology and Molecular GeneticsNIAID NIH HHS U19 AI090872U.S. Department of Agriculture (USDA) 2011-67005-30004
6 · The paper itself

Abstract

Shiga toxin-producing Escherichia coli (STEC) is an important foodborne pathogen that contributes to over 250,000 infections in the United States each year. Because antibiotics are not recommended for STEC infections, resistance in STEC has not been widely researched despite an increased likelihood for the transfer of resistance genes from STEC to opportunistic pathogens residing within the same microbial community. From 2001 to 2014, 969 STEC isolates were collected from Michigan patients. Antibiotic susceptibility profiles to clinically relevant antibiotics were determined using disc diffusion, while epidemiological data were used to identify factors associated with resistance. Whole-genome sequencing was used for serotyping, examining genetic relatedness, and identifying genetic determinants and mechanisms of resistance in the non-O157 isolates. Increasing frequencies of resistance to at least one antibiotic were observed over the 14 years (

Indexed as

Escherichia coli InfectionsEscherichia coli ProteinsShiga-Toxigenic Escherichia coliAnti-Bacterial AgentsFecesHumansMichiganSerogroupAnti-Bacterial AgentsEscherichia coli Proteinsantibiotic resistanceantibiotic resistance genesepidemiologyEscherichia coliShiga toxinsSTECwhole-genome sequencing

Identifiers

PMID34424041
PMCPMC8522786
OpenAlexW3193982154

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.