Evidence map›Paper›PMID 31608599›Full record

ArticleInfluenza and other respiratory viruses2020

FluChip-8G Insight: HA and NA subtyping of potentially pandemic influenza A viruses in a single assay.

Evan Toth, Erica D Dawson, Amber W Taylor, Robert S Stoughton, Rebecca H Blair, James E Johnson, Amelia Slinskey, Ryan Fessler, Catherine B Smith, Sarah Talbot and 1 more

Abstract readEvaluation Study
PubMed Full text at PMC Publisher
In one paragraph

Article in Influenza and other respiratory viruses, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
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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

11 authors.

Evan TothInDevR, Inc., Boulder, CO, USA.ORCID 0000-0002-9801-101X
Erica D DawsonInDevR, Inc., Boulder, CO, USA.
Amber W TaylorInDevR, Inc., Boulder, CO, USA.
Robert S StoughtonInDevR, Inc., Boulder, CO, USA.
Rebecca H BlairInDevR, Inc., Boulder, CO, USA.
James E JohnsonInDevR, Inc., Boulder, CO, USA.
Amelia SlinskeyInDevR, Inc., Boulder, CO, USA.
Ryan FesslerInDevR, Inc., Boulder, CO, USA.
Catherine B SmithInfluenza Division, the Centers for Disease Control and Prevention, Atlanta, GA, USA.
Sarah TalbotInfluenza Division, the Centers for Disease Control and Prevention, Atlanta, GA, USA.
Kathy RowlenInDevR, Inc., Boulder, CO, USA.

Funding

SIMULTANEOUS SCREENING FOR A/H3N2, A/H1N1, A/H5N1 AND B INFLUENZA VIRUSESR43AI077112 · NIAID · INDEVR, INC. · PI DAWSON, ERICA D · 2008 to 2009
$597k
Department of Health and Human Services; Office of the Assistant Secretary for Preparedness and Response; Biomedical Advanced Research and Development Authority HHSO100201400010CDepartment of Health and Human Services; Office of the Assistant Secretary for Preparedness and Response; Biomedical Advanced Research and Development Authority HHSO100201500024CNIH/NIAID SBIR program R43/R44 AI077112
6 · The paper itself

Abstract

backgroundGlobal influenza surveillance in humans and animals is a critical component of pandemic preparedness. The FluChip-8G Insight assay was developed to subtype both seasonal and potentially pandemic influenza viruses in a single assay with a same day result. FluChip-8G Insight uses whole gene segment RT-PCR-based amplification to provide robustness against genetic drift and subsequent microarray detection with artificial neural network-based data interpretation.

objectivesThe objective of this study was to verify and validate the performance of the FluChip-8G Insight assay for the detection and positive identification of human and animal origin non-seasonal influenza A specimens.

methodsWe evaluated the ability of the FluChip-8G Insight technology to type and HA and NA subtype a sample set consisting of 297 results from 180 unique non-seasonal influenza A strains (49 unique subtypes).

resultsFluChip-8G Insight demonstrated a positive percent agreement ≥93% for 5 targeted HA and 5 targeted NA subtypes except for H9 (88%), and negative percent agreement exceeding 95% for all targeted subtypes.

conclusionsThe FluChip-8G Insight neural network-based algorithm used for virus identification performed well over a data set of 297 naïve sample results, and can be easily updated to improve performance on emerging strains without changing the underlying assay chemistry.

Indexed as

DNA PrimersHemagglutinin Glycoproteins, Influenza VirusHumansInfluenza A virusInfluenza, HumanNeuraminidasePandemicsReverse Transcriptase Polymerase Chain ReactionUnited StatesViral ProteinsDNA PrimersHemagglutinin Glycoproteins, Influenza Virushemagglutinin, human influenza A virusNA protein, influenza A virusNeuraminidaseViral Proteinsinfluenzamultiplex PCRneural networksoligonucleotide microarrayspandemicsvalidation studies

Identifiers

PMID31608599
PMCPMC6928037

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LicenceCC BY
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Registered trials

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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.