Evidence map›Paper›PMID 25418281›Full record

ReviewGenome biology2014

Genomic analysis of emerging pathogens: methods, application and future trends.

Lucy M Li, Nicholas C Grassly, Christophe Fraser

Abstract readReview
In one paragraph

Review in Genome biology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

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

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Pathogenic viruses: Molecular detection and characterization.Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases · 2020
    Review
  13. Review
  14. Article
  15. Review
  16. Article
  17. Article
  18. Review
  19. SISPA-Seq for rapid whole genome surveys of bacterial isolates.Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases · 2015
    Article
  20. Review
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.

Lucy M Li
Nicholas C Grassly
Christophe Fraser

Funding

Medical Research Council G0800596Medical Research Council MR/K010174/1
6 · The paper itself

Abstract

The number of emerging infectious diseases is increasing. Characterizing novel or re-emerging infections is aided by the availability of pathogen genomes. In this review, we evaluate methods that exploit pathogen sequences and the contribution of genomic analysis to understand the epidemiology of recently emerged infectious diseases.

Indexed as

BacteriaCommunicable DiseasesCommunicable Diseases, EmergingGenome, BacterialGenome, ViralGenomicsHumansViruses

Identifiers

PMID25418281
PMCPMC4283782

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.