Evidence map›Paper›PMID 23673226›Full record

ReviewGenome medicine2013

Genomics and outbreak investigation: from sequence to consequence.

Esther R Robinson, Timothy M Walker, Mark J Pallen

Abstract readReview
In one paragraph

Review in Genome medicine, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
45citing papers in PubMed, 1 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

45 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Review
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Review
  17. Article
  18. Article
  19. Article
  20. 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

3 authors.

Esther R RobinsonOxford University Hospitals NHS Trust, Oxford, OX3 9DU, UK.
Timothy M WalkerNuffield Department of Clinical Medicine, University of Oxford, OX3 7LJ, UK.
Mark J PallenDivision of Microbiology and Infection, Warwick Medical School, University of Warwick, Coventry, CV4 7AL, UK.

Funding

Medical Research Council MR/J011398/1
6 · The paper itself

Abstract

Outbreaks of infection can be devastating for individuals and societies. In this review, we examine the applications of new high-throughput sequencing approaches to the identification and characterization of outbreaks, focusing on the application of whole-genome sequencing (WGS) to outbreaks of bacterial infection. We describe traditional epidemiological analysis and show how WGS can be informative at multiple steps in outbreak investigation, as evidenced by many recent studies. We conclude that high-throughput sequencing approaches can make a significant contribution to the investigation of outbreaks of bacterial infection and that the integration of WGS with epidemiological investigation, diagnostic assays and antimicrobial susceptibility testing will precipitate radical changes in clinical microbiology and infectious disease epidemiology in the near future. However, several challenges remain before WGS can be routinely used in outbreak investigation and clinical practice.

Identifiers

PMID23673226
PMCPMC3706975

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.