Evidence map›Paper›PMID 17487146›Full record

ReviewNature reviews. Microbiology2007

Pathogen profiling for disease management and surveillance.

Vitali Sintchenko, Jonathan R Iredell, Gwendolyn L Gilbert

Abstract readReview
In one paragraph

Review in Nature reviews. Microbiology, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

25 citing papers in PubMed.

  1. Article
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  11. Article
  12. Review
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  15. Review
  16. Translational web robots for pathogen genome analysis.Microbial informatics and experimentation · 2011
    Article
  17. Microbial metabolomics.Current genomics · 2011
    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.

Vitali SintchenkoCentre for Infectious Diseases and Microbiology Public Health, Institute of Clinical Pathology and Medical Research, Westmead Hospital, Western Clinical School, The University of Sydney, New South Wales, Australia. vitalis@icpmr.wsahs.nsw.gov.au
Jonathan R Iredell
Gwendolyn L Gilbert

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The usefulness of rapid pathogen genotyping is widely recognized, but its effective interpretation and application requires integration into clinical and public health decision-making. How can pathogen genotyping data best be translated to inform disease management and surveillance? Pathogen profiling integrates microbial genomics data into communicable disease control by consolidating phenotypic identity-based methods with DNA microarrays, proteomics, metabolomics and sequence-based typing. Sharing data on pathogen profiles should facilitate our understanding of transmission patterns and the dynamics of epidemics.

Indexed as

Bacterial Physiological PhenomenaVirus Physiological PhenomenaBacteriaBacterial InfectionsComputational BiologyDisease ManagementGenotypeHumansInfection ControlMolecular EpidemiologyVirus DiseasesViruses

Identifiers

PMID17487146
PMCPMC7097369

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.