Evidence map›Paper›PMID 28281083›Full record

ReviewCurrent infectious disease reports2017

Whole Genome Sequencing-Implications for Infection Prevention and Outbreak Investigations.

Kyle J Popovich, Evan S Snitkin

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current infectious disease reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing 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

33 citing papers in PubMed.

  1. Trial
  2. Review
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  6. Review
  7. Article
  8. Investigation of invasiveFrontiers in public health · 2025
    Article
  9. Article
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  11. Review
  12. Article
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  18. Framing Bacterial Genomics for Public Health (Care).Journal of clinical microbiology · 2021
    Article
  19. Article
  20. Outbreak of Pseudomonas aeruginosa Infections from a Contaminated Gastroscope Detected by Whole Genome Sequencing Surveillance.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2021
    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.

Kyle J PopovichDepartment of Internal Medicine, University Infectious Diseases, Rush University Medical Center, Stroger Hospital of Cook County, 600 South Paulina, Suite 143, Chicago, IL, 60612, USA. kyle_popovich@rush.edu.
Evan S SnitkinDepartment of Microbiology and Immunology, Department of Medicine, Division of Infectious Diseases, Center for Microbial Systems, University of Michigan, 1520D MSRB I, 1150 W. Medical Center Dr., Ann Arbor, MI, 48109-5680, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purpose of reviewWhole genome sequencing (WGS) is a laboratory method that has emerged as a promising tool for epidemiologic investigations. RECENT

findingsGenomic epidemiology approaches have been utilized in outbreak settings, community settings, within acute care hospitals, and across healthcare facilities to better understand transmission and spread of potential pathogens. These studies have highlighted how essential robust epidemiologic data is in these analyses as well as how results can be translated into clinical practice and infection control and prevention. Existing studies have highlighted both the promise and challenges of using WGS as an epidemiologic tool in a community and healthcare setting and across a region. Costs for performing and interpreting WGS analyses are decreasing, and availability of and experience with WGS analyses in healthcare epidemiology are increasing. With these favorable trends, this laboratory method soon could emerge as the gold standard for epidemiologic evaluations.

Indexed as

Genomic epidemiologyInfection preventionOutbreaksWhole genome sequencing (WGS)

Identifiers

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.