Evidence map›Paper›PMID 30950215›Full record

ArticleMicrobiologyOpen2019

A survey of antimicrobial resistance in Enterobacteriaceae isolated from the Chesapeake Bay and adjacent upper tributaries.

Stefan Riedel, Nicholas Boire, Kathryn A Carson, Aravinda Vadlamudi, Joshua Khuvis, Vivek Vadlamudi, Vajini Atukorale, Victoria A A Riedel, Nicole M Parrish

Abstract read
In one paragraph

Article in MicrobiologyOpen, 2019. 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
–field-weighted citation impact
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.

  1. Review
  2. Prevalence ofInternational journal of microbiology · 2025
    Article
  3. Occurrence of Antimicrobial-ResistantAntibiotics (Basel, Switzerland) · 2022
    Article
  4. High Rates of Multidrug-ResistantPathogens (Basel, Switzerland) · 2022
    Article
  5. Article
  6. 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.

Stefan RiedelDepartment of Pathology, Beth Israel Deaconess Medical Center, Boston, Massachusetts.ORCID 0000-0002-0573-4957
Nicholas BoireDivision of Microbiology, Department of Pathology, School of Medicine, The Johns Hopkins University, Baltimore, Maryland.
Kathryn A CarsonDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland.
Aravinda VadlamudiDivision of Microbiology, Department of Pathology, School of Medicine, The Johns Hopkins University, Baltimore, Maryland.
Joshua KhuvisDivision of Microbiology, Department of Pathology, School of Medicine, The Johns Hopkins University, Baltimore, Maryland.
Vivek VadlamudiDivision of Microbiology, Department of Pathology, School of Medicine, The Johns Hopkins University, Baltimore, Maryland.
Vajini AtukoraleDivision of Microbiology, Department of Pathology, School of Medicine, The Johns Hopkins University, Baltimore, Maryland.
Victoria A A RiedelDivision of Microbiology, Department of Pathology, School of Medicine, The Johns Hopkins University, Baltimore, Maryland.
Nicole M ParrishDivision of Microbiology, Department of Pathology, School of Medicine, The Johns Hopkins University, Baltimore, Maryland.

Funding

Institute for Clinical and Translational ResearchUL1TR001079 · NCATS · JOHNS HOPKINS UNIVERSITY · PI FORD, DANIEL ERNEST · 2013 to 2017
$60.1M
NCATS NIH HHS UL1 TR001079
6 · The paper itself

Abstract

In recent years, the rise in antimicrobial resistance (AR) in the healthcare setting as well as the environment has been recognized as a growing public health problem. The Chesapeake Bay (CB) and its upper tributaries (UT) is a large and biologically diverse estuary. This pilot study evaluated the presence of AR of gram-negative bacteria isolated from water samples collected at various sites of the Chesapeake Bay. Bacterial organisms were identified and antimicrobial susceptibility testing was performed by phenotypic and genotypic methods. Ninety-two distinctly different gram-negative bacteria were identified; Klebsiella pneumoniae, Enterobacter cloacae, Enterobacter aerogenes, Serratia marcescens, and Escherichia coli were most often isolated. Serratia marcescens was more frequently isolated in samples from the UT compared to the CB. Antimicrobial resistance was more frequently detected in organisms from the CB by phenotypic and genotypic methods. Antimicrobial resistance to ampicillin, imipenem, tetracycline, and chloramphenicol were the most frequently observed resistance patterns. ACT-1, CMY, and SHV genes were the most frequently detected resistance genes, with predominance in organism isolated from the CB. The results from this study emphasize the importance for further developing comprehensive surveillance programs of AR in bacterial isolates in the various environments, such as recreational and other water systems.

Indexed as

Drug Resistance, BacterialWater MicrobiologyAnti-Bacterial AgentsAtlantic OceanBacteriological TechniquesEnterobacteriaceaeGenes, BacterialGenotyping TechniquesMarylandRiversWest VirginiaAnti-Bacterial Agentsantibiotic pollutionantimicrobial resistanceChesapeake BayEnterobacteriaceaeOne Health

Identifiers

PMID30950215
PMCPMC6741119

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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.