Evidence map›Paper›PMID 25876885›Full record

ReviewClinical microbiology reviews2015

Whole-genome sequencing in outbreak analysis.

Carol A Gilchrist, Stephen D Turner, Margaret F Riley, William A Petri, Erik L Hewlett

Open access · bronzeAbstract readReview
In one paragraph

Review in Clinical microbiology reviews, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 134 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
134citing papers in PubMed, 4 pooled it
10.4field-weighted citation impact, top 1% 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

134 citing papers in PubMed, 4 syntheses or guidelines pooled it, 284 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Article
  6. Article
  7. Article
  8. Canada communicable disease report = Releve des maladies transmissibles au Canada · 2026
    Article
  9. Article
  10. Prediction of genetic relatedness ofAntimicrobial agents and chemotherapy · 2026
    Article
  11. Review
  12. Article
  13. Article
  14. Review
  15. International journal of microbiology · 2026
    Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

74 more citing papers are in PubMed but not listed here.

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

5 authors at 1 institution in 1 country.

Carol A GilchristDepartment of Medicine, School of Medicine, University of Virginia, Charlottesville, Virginia, USA cg2p@virginia.edu.
Stephen D TurnerDepartment of Public Health, School of Medicine, University of Virginia, Charlottesville, Virginia, USA.
Margaret F RileyDepartment of Public Health, School of Medicine, University of Virginia, Charlottesville, Virginia, USA School of Law, University of Virginia, Charlottesville, Virginia, USA Batten School of Leadership and Public Policy, University of Virginia, Charlottesville, Virginia, USA.
William A PetriDepartment of Medicine, School of Medicine, University of Virginia, Charlottesville, Virginia, USA Department of Microbiology, School of Medicine, University of Virginia, Charlottesville, Virginia, USA Department of Pathology, School of Medicine, University of Virginia, Charlottesville, Virginia, USA.
Erik L HewlettDepartment of Medicine, School of Medicine, University of Virginia, Charlottesville, Virginia, USA Department of Microbiology, School of Medicine, University of Virginia, Charlottesville, Virginia, USA.
University of Virginia · US

Funding

FIELD STUDIES OF IMMUNITY TO AMEBIASIS IN BANGLADESHR01AI043596 · NIAID · UNIVERSITY OF VIRGINIA CHARLOTTESVILLE · PI CAROL A GILCHRIST, William A Petri · 1998 to 2026
$7.7M
Development of an E. histolytica Multilocus Genotyping SystemR21AI103536 · NIAID · UNIVERSITY OF VIRGINIA · PI GILCHRIST, CAROL A · 2013 to 2014
$422k
NIAID NIH HHS AI103536-01NIAID NIH HHS R01 AI043596NIAID NIH HHS R21 AI103536
6 · The paper itself

Abstract

In addition to the ever-present concern of medical professionals about epidemics of infectious diseases, the relative ease of access and low cost of obtaining, producing, and disseminating pathogenic organisms or biological toxins mean that bioterrorism activity should also be considered when facing a disease outbreak. Utilization of whole-genome sequencing (WGS) in outbreak analysis facilitates the rapid and accurate identification of virulence factors of the pathogen and can be used to identify the path of disease transmission within a population and provide information on the probable source. Molecular tools such as WGS are being refined and advanced at a rapid pace to provide robust and higher-resolution methods for identifying, comparing, and classifying pathogenic organisms. If these methods of pathogen characterization are properly applied, they will enable an improved public health response whether a disease outbreak was initiated by natural events or by accidental or deliberate human activity. The current application of next-generation sequencing (NGS) technology to microbial WGS and microbial forensics is reviewed.

Indexed as

Disease OutbreaksEpidemiologic MethodsBacterial InfectionsEpidemiological MonitoringGenome, Microbial

Identifiers

PMID25876885
PMCPMC4399107
OpenAlexW2121402826

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.