Evidence map›Paper›PMID 19748425›Full record

ArticleDiagnostic microbiology and infectious disease2009

A duplex real-time reverse transcriptase polymerase chain reaction assay for the detection of California serogroup and Cache Valley viruses.

Heng Wang, Seela Nattanmai, Laura D Kramer, Kristen A Bernard, Norma P Tavakoli

Open access · greenAbstract read
In one paragraph

Article in Diagnostic microbiology and infectious disease, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
0.3field-weighted citation impact, top 39% 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

12 citing papers in PubMed, 20 citations in OpenAlex.

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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

5 authors at 1 institution in 1 country.

Heng WangWadsworth Center, New York State Department of Health, Albany, NY 12201, USA.
Seela Nattanmai
Laura D Kramer
Kristen A Bernard
Norma P Tavakoli
New York State Department of Health · US

Funding

Emerging Infections Program-HAIU01CI000311 · CI · NYSDOH/HEALTH RESEARCH, INC. · PI BIRKHEAD, GUTHRIE S · 2005 to 2011
$25.8M
US BASED COLLABORATION IN EMERGING VIRAL AND PRION DISEASES-266025490N01AI025490 · NIAID · HEALTH RESEARCH, INC. · 2003 to 2004
–
NCPDCID CDC HHS U01 CI000311NIAID NIH HHS N01 AI025490PHS HHS N01-A1-25490
6 · The paper itself

Abstract

A duplex TaqMan real-time reverse transcriptase polymerase chain reaction (PCR) assay was developed for the detection of California (CAL) serogroup viruses and Cache Valley virus (CVV), for use in human surveillance. The targets selected for the assay were the sequences encoding the nucleocapsid protein of CAL and the G1 glycoprotein of CVV. Conserved regions were selected by aligning genetic sequences from various strains available in the GenBank database. Primers and probes were selected in conserved regions. The assay sensitivity was 75 gene copies (gc)/reaction for CAL serogroup viruses and 30 gc/reaction for CVV. The performance of the assay was linear over at least 6 log(10) gc. The assay was specific, given that it did not cross-react with a variety of pathogens. It did, however, detect 11 viruses within the CAL serogroup and 12 CVV isolates. The use of an internal control ensured that possible inefficiency in nucleic acid extraction or PCR inhibition would be detected.

Indexed as

Bunyamwera virusBunyaviridae InfectionsConserved SequenceDNA PrimersHumansNucleocapsid ProteinsReference StandardsReverse Transcriptase Polymerase Chain ReactionSensitivity and SpecificitySequence AlignmentViral Envelope ProteinsDNA PrimersNucleocapsid ProteinsViral Envelope Proteins

Identifiers

PMID19748425
PMCPMC2774246
OpenAlexW2118521478

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.