Evidence map›Paper›PMID 32552054›Full record

ArticleExpert review of anti-infective therapy2020

Surveillance of antimicrobial resistance and evolving microbial populations in Vermont: 2011-2018.

John Stelling, Jennifer S Read, William Fritch, Thomas F O'Brien, Rob Peters, Adam Clark, Marissa Bokhari, Mattia Lion, Parisha Katwa, Patsy Kelso

Open access · greenAbstract readMulticenter Study
PubMed Full text at PMC Publisher
In one paragraph

Article in Expert review of anti-infective therapy, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.4field-weighted citation impact, top 33% 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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Observational
  2. Article
  3. 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 4 institutions in 1 country.

John StellingDepartment of Medicine, Division of Infectious Diseases, Brigham and Women's Hospital , Boston, MA, USA.
Jennifer S ReadVermont Department of Health, Infectious Disease Epidemiology , Burlington, VT, USA.
William FritchVermont Department of Health, Infectious Disease Epidemiology , Burlington, VT, USA.
Thomas F O'BrienDepartment of Medicine, Division of Infectious Diseases, Brigham and Women's Hospital , Boston, MA, USA.
Rob PetersDepartment of Medicine, Division of Infectious Diseases, Brigham and Women's Hospital , Boston, MA, USA.
Adam ClarkDepartment of Medicine, Division of Infectious Diseases, Brigham and Women's Hospital , Boston, MA, USA.
Marissa BokhariDepartment of Medicine, Division of Infectious Diseases, Brigham and Women's Hospital , Boston, MA, USA.
Mattia LionDepartment of Medicine, Division of Infectious Diseases, Brigham and Women's Hospital , Boston, MA, USA.
Parisha KatwaDepartment of Medicine, Division of Infectious Diseases, Brigham and Women's Hospital , Boston, MA, USA.
Patsy KelsoVermont Department of Health, Infectious Disease Epidemiology , Burlington, VT, USA.
Brigham and Women's Hospital · USVermont Department of Health · USHarvard University · USUniversity of Vermont Medical Center · US

Funding

WHONET: Tools for a Global Microbial Sensor NetworkR01GM103525 · NIGMS · BRIGHAM AND WOMEN'S HOSPITAL · PI STELLING, JOHN · 2012 to 2016
$1.9M
WHONET for automated real-time multilevel global microbial surveillanceR01RR025040 · NCRR · BRIGHAM AND WOMEN'S HOSPITAL · PI STELLING, JOHN · 2008 to 2011
$1.4M
Integrating the world's microbiology laboratories into a global microbial surveillance systemU01CA207167 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI STELLING, JOHN · 2016 to 2018
$1.3M
NCI NIH HHS U01 CA207167NCRR NIH HHS R01 RR025040NIGMS NIH HHS R01 GM103525
6 · The paper itself

Abstract

objectiveThis study presents trends in organism isolation and antimicrobial resistance in routine microbiology test results from acute-care hospital microbiology laboratories in Vermont.

methodsOrganism identifications and antimicrobial susceptibility test results were captured from acute-care hospital laboratories to monitor geographic and temporal trends in resistance and emerging microbial threats with the free WHONET software.

resultsData were provided from 12 acute care hospital laboratories from 2011 through 2018 for 318,833 isolates from 148,994 patients (70% female, 74% outpatient, and 63% urine). Significant differences (p < 0.05) in age, gender, and antimicrobial susceptibility results (e.g.

conclusionsComprehensive electronic surveillance of antimicrobial resistance utilizing routine clinical microbiology data with free software tools offers early recognition and tracking of emerging community and healthcare resistance threats at the local and state level.

Indexed as

AdolescentAdultAgedAnti-Bacterial AgentsBacteriaBacterial InfectionsChildChild, PreschoolDrug Resistance, BacterialFemaleHumansInfantInfant, NewbornMaleMicrobial Sensitivity TestsMiddle AgedAnti-Bacterial Agentsantimicrobial resistanceMicrobiology laboratorysurveillanceVermontWHONET

Identifiers

PMID32552054
PMCPMC7554058
OpenAlexW3036608451

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.