Evidence map›Paper›PMID 31099740›Full record

ArticleMicrobial genomics2019

Use of whole genome sequencing in surveillance for antimicrobial-resistant Shigella sonnei infections acquired from domestic and international sources.

Rebecca L Abelman, Nkuchia M M'ikanatha, Hillary M Figler, Edward G Dudley

Open access · goldAbstract read
In one paragraph

Article in Microbial genomics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
1.3field-weighted citation impact, top 22% 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Antimicrobial Resistance Dynamics in ChileanFrontiers in microbiology · 2021
    Article
  7. Article
  8. A Multifactorial Approach for Surveillance ofFrontiers in microbiology · 2020
    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

4 authors at 2 institutions in 1 country.

Rebecca L Abelman1 Department of Food Science, The Pennsylvania State University, University Park, Pennsylvania, USA.
Nkuchia M M'ikanatha2 Pennsylvania Department of Health, Harrisburg, Pennsylvania, USA.
Hillary M Figler3 Huck Institutes of the Life Sciences, The Pennsylvania State University, University Park, Pennsylvania, USA.
Edward G Dudley1 Department of Food Science, The Pennsylvania State University, University Park, Pennsylvania, USA.
Pennsylvania State University · USPennsylvania Department of Health · US

Funding

Enhancing Whole Genome Sequencing Surveillance Capacity in Pennsylvania through Participation in GenomeTrakrU18FD006222 · FDA · PENNSYLVANIA STATE UNIVERSITY, THE · PI DUDLEY, EDWARD G. · 2017 to 2018
$330k
FDA HHS U18 FD006222FDA HHS U18 FD006775
6 · The paper itself

Abstract

Shigella species are a major cause of gastroenteritis worldwide, and Shigella sonnei is the most common species isolated within the United States. Previous surveillance work in Pennsylvania documented increased antimicrobial resistance (AMR) in S. sonnei associated with reported illnesses. The present study examined a subset of these isolates by whole genome sequencing (WGS) to determine the relationship between domestic and international isolates, to identify genes that may be useful for identifying specific Global Lineages of S. sonnei and to test the accuracy of WGS for predicting AMR phenotype. A collection of 22 antimicrobial-resistant isolates from patients infected within the United States or while travelling internationally between 2009 and 2014 was chosen for WGS. Phylogenetic analysis revealed both international and domestic isolates were one of two previously defined Global Lineages of S. sonnei, designated Lineage II and Lineage III. Twelve of 17 alleles tested distinguish these two lineages. Lastly, genome analysis was used to identify AMR determinants. Genotypic analysis was concordant with phenotypic resistance for six of eight antibiotic classes. For aminoglycosides and trimethoprim, resistance genes were identified in two and three phenotypically sensitive isolates, respectively. This article contains data hosted by Microreact.

Indexed as

PhylogenyWhole Genome SequencingAllelesAnti-Bacterial AgentsDNA, BacterialDrug Resistance, Multiple, BacterialDysentery, BacillaryGenome, BacterialGenotypeHumansMicrobial Sensitivity TestsPhenotypePolymorphism, Single NucleotideSequence Analysis, DNAShigella sonneiUnited StatesAnti-Bacterial AgentsDNA, Bacterialantibiotic resistancemicrobial phylogeneticsShigella sonnei

Identifiers

PMID31099740
PMCPMC6562246
OpenAlexW2945321342

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.