Evidence map›Paper›PMID 16704813›Full record

ArticleEmerging infectious diseases2006

Identifying influenza viruses with resequencing microarrays.

Zheng Wang, Luke T Daum, Gary J Vora, David Metzgar, Elizabeth A Walter, Linda C Canas, Anthony P Malanoski, Baochuan Lin, David A Stenger

Abstract read
In one paragraph

Article in Emerging infectious diseases, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers.

0numbers the graph read from it
0cells of the map it votes in
42citing 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

42 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Review
  9. Use and evaluation of molecular diagnostics for pneumonia etiology studies.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2012
    Review
  10. ampliPHOX colorimetric detection on a DNA microarray for influenza.Journal of visualized experiments : JoVE · 2011
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Resequencing microarray for detection of human adenoviruses in patients with conjunctivitis.Journal of clinical virology : the official publication of the Pan American Society for Clinical Virology · 2010
    Article
  18. Article
  19. Review
  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

9 authors.

Zheng WangNaval Research Laboratory, Washington, DC, USA.
Luke T Daum
Gary J Vora
David Metzgar
Elizabeth A Walter
Linda C Canas
Anthony P Malanoski
Baochuan Lin
David A Stenger

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Identification of genetic variations of influenza viruses is essential for epidemic and pandemic outbreak surveillance and determination of vaccine strain selection. In this study, we combined a random amplification strategy with high-density resequencing microarray technology to demonstrate simultaneous detection and sequence-based typing of 25 geographically distributed human influenza virus strains collected in 2004 and 2005. In addition to identification, this method provided primary sequence information, which suggested that distinct lineages of influenza viruses co-circulated during the 2004-2005 season, and simultaneously identified and typed all component strains of the trivalent FluMist intranasal vaccine. The results demonstrate a novel, timely, and unbiased method for the molecular epidemiologic surveillance of influenza viruses.

Indexed as

Amino Acid SequenceGenes, ViralGenetic VariationHemagglutininsHumansInfluenza A virusInfluenza B virusMolecular Sequence DataOligonucleotide Array Sequence AnalysisPhylogenyHemagglutinins

Identifiers

PMID16704813
PMCPMC3294710

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.