Evidence map›Paper›PMID 29604079›Full record

ReviewAnnals of the New York Academy of Sciences2019

Genomic epidemiology of multidrug-resistant Gram-negative organisms.

Shawn E Hawken, Evan S Snitkin

Abstract readReview
In one paragraph

Review in Annals of the New York Academy of Sciences, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Review
  8. Similarity Analysis ofAntibiotics (Basel, Switzerland) · 2023
    Article
  9. Panomics to decode virulence and fitness in Gram-negative bacteria.Frontiers in cellular and infection microbiology · 2022
    Article
  10. Article
  11. Article
  12. Diversity of International High-Risk Clones ofAntibiotics (Basel, Switzerland) · 2021
    Article
  13. Observational
  14. 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

2 authors.

Shawn E HawkenDepartment of Microbiology and Immunology, University of Michigan Medical School, Michigan, USA.
Evan S SnitkinDepartment of Microbiology and Immunology, University of Michigan Medical School, Michigan, USA.ORCID 0000-0001-8409-278X

Funding

Training Program in Translational ResearchT32GM113900 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI LIEBERMAN, ANDREW P, NIKOLOVSKA-COLESKA, ZANETA · 2016 to 2020
$991k
NIGMS NIH HHS T32 GM113900
6 · The paper itself

Abstract

The emergence and spread of antibiotic-resistant Gram-negative bacteria (rGNB) across global healthcare networks presents a significant threat to public health. As the number of effective antibiotics available to treat these resistant organisms dwindles, it is essential that we devise more effective strategies for controlling their proliferation. Recently, whole-genome sequencing has emerged as a disruptive technology that has transformed our understanding of the evolution and epidemiology of diverse rGNB species, and it has the potential to guide strategies for controlling the evolution and spread of resistance. Here, we review specific areas in which genomics has already made a significant impact, including outbreak investigations, regional epidemiology, clinical diagnostics, resistance evolution, and the study of epidemic lineages. While highlighting early successes, we also point to the next steps needed to translate this technology into strategies to improve public health and clinical medicine.

Indexed as

Drug Resistance, Multiple, BacterialEvolution, MolecularGram-Negative BacteriaGram-Negative Bacterial InfectionsAnti-Bacterial AgentsHumansMolecular EpidemiologyAnti-Bacterial Agentsantibiotic resistancegenomic epidemiologyhospital-associated infectionmultidrug-resistant organismswhole-genome sequencing

Identifiers

PMID29604079
PMCPMC6167210

What OpenQuestion holds

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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.