Evidence map›Paper›PMID 19279171›Full record

ArticleJournal of clinical microbiology2009

Universal detection and identification of avian influenza virus by use of resequencing microarrays.

Baochuan Lin, Anthony P Malanoski, Zheng Wang, Kate M Blaney, Nina C Long, Carolyn E Meador, David Metzgar, Christopher A Myers, Samuel L Yingst, Marshall R Monteville and 4 more

Open access · greenAbstract readEvaluation Study
In one paragraph

Article in Journal of clinical microbiology, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
4.1field-weighted citation impact, top 6% 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

16 citing papers in PubMed, 39 citations in OpenAlex.

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  9. Methods for molecular surveillance of influenza.Expert review of anti-infective therapy · 2010
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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

14 authors at 6 institutions in 2 countries.

Baochuan LinCenter for Bio/Molecular Science & Engineering, Naval Research Laboratory, Washington, DC 20375, USA. baochuan.lin@nrl.navy.mil
Anthony P Malanoski
Zheng Wang
Kate M Blaney
Nina C Long
Carolyn E Meador
David Metzgar
Christopher A Myers
Samuel L Yingst
Marshall R Monteville
Magdi D Saad
Joel M Schnur
Clark Tibbetts
David A Stenger
United States Naval Research Laboratory · USNova Research Company (United States) · USUnited States Naval Medical Research Unit III · EGNaval Health Research Center · USNaval Research Laboratory Center for Bio/Molecular Science and EngineeringTessArae (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Zoonotic microbes have historically been, and continue to emerge as, threats to human health. The recent outbreaks of highly pathogenic avian influenza virus in bird populations and the appearance of some human infections have increased the concern of a possible new influenza pandemic, which highlights the need for broad-spectrum detection methods for rapidly identifying the spread or outbreak of all variants of avian influenza virus. In this study, we demonstrate that high-density resequencing pathogen microarrays (RPM) can be such a tool. The results from 37 influenza virus isolates show that the RPM platform is an effective means for detecting and subtyping influenza virus, while simultaneously providing sequence information for strain resolution, pathogenicity, and drug resistance without additional analysis. This study establishes that the RPM platform is a broad-spectrum pathogen detection and surveillance tool for monitoring the circulation of prevalent influenza viruses in the poultry industry and in wild birds or incidental exposures and infections in humans.

Indexed as

AnimalsBirdsInfluenza A virusInfluenza in BirdsMolecular Sequence DataOligonucleotide Array Sequence AnalysisRNA, ViralSensitivity and SpecificitySequence Analysis, DNARNA, Viral

Identifiers

PMID19279171
PMCPMC2668298
OpenAlexW2160191071

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.