Evidence map›Paper›PMID 27993845›Full record

ArticleAntimicrobial agents and chemotherapy2017

Establishing Genotypic Cutoff Values To Measure Antimicrobial Resistance in Salmonella.

Gregory H Tyson, Shaohua Zhao, Cong Li, Sherry Ayers, Jonathan L Sabo, Claudia Lam, Ron A Miller, Patrick F McDermott

Abstract read
In one paragraph

Article in Antimicrobial agents and chemotherapy, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 2 pooled it
–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

26 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
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  7. Comparison of genotypic and phenotypic antimicrobial resistance profiles ofJournal of veterinary diagnostic investigation : official publication of the American Association of Veterinary Laboratory Diagnosticians, Inc · 2024
    Article
  8. Genomic and Evolutionary Analysis ofFrontiers in cellular and infection microbiology · 2022
    Article
  9. Article
  10. Article
  11. Frontiers in microbiology · 2021
    Article
  12. Article
  13. Article
  14. SupershedInternational journal of microbiology · 2020
    Article
  15. Article
  16. Pathogen Genomics in Public Health.The New England journal of medicine · 2019
    Article
  17. Article
  18. Article
  19. Article
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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

8 authors.

Gregory H TysonU.S. Food and Drug Administration, Center for Veterinary Medicine, Office of Research, Laurel, Maryland, USA Gregory.Tyson@fda.hhs.gov.
Shaohua ZhaoU.S. Food and Drug Administration, Center for Veterinary Medicine, Office of Research, Laurel, Maryland, USA.
Cong LiU.S. Food and Drug Administration, Center for Veterinary Medicine, Office of Research, Laurel, Maryland, USA.
Sherry AyersU.S. Food and Drug Administration, Center for Veterinary Medicine, Office of Research, Laurel, Maryland, USA.
Jonathan L SaboU.S. Food and Drug Administration, Center for Veterinary Medicine, Office of Research, Laurel, Maryland, USA.
Claudia LamU.S. Food and Drug Administration, Center for Veterinary Medicine, Office of Research, Laurel, Maryland, USA.
Ron A MillerU.S. Food and Drug Administration, Center for Veterinary Medicine, Office of New Animal Drug Evaluation, Rockville, Maryland, USA.
Patrick F McDermottU.S. Food and Drug Administration, Center for Veterinary Medicine, Office of Research, Laurel, Maryland, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Whole-genome sequencing (WGS) has transformed our understanding of antimicrobial resistance, helping us to better identify and track the genetic mechanisms underlying phenotypic resistance. Previous studies have demonstrated high correlations between phenotypic resistance and the presence of known resistance determinants. However, there has never been a large-scale assessment of how well resistance genotypes correspond to specific MICs. We performed antimicrobial susceptibility testing and WGS of 1,738 nontyphoidal

Indexed as

Genome, BacterialGenotypeAminoglycosidesAnti-Bacterial AgentsCephalosporinsDrug Resistance, Multiple, BacterialFluoroquinolonesHigh-Throughput Nucleotide SequencingMicrobial Sensitivity TestsPenicillinsPharmacogeneticsSalmonellaAminoglycosidesAnti-Bacterial AgentsCephalosporinsFluoroquinolonesPenicillinsantibiotic resistancebreakpointsSalmonellawhole-genome sequencing

Identifiers

PMID27993845
PMCPMC5328538

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.