Evidence map›Paper›PMID 20688908›Full record

ArticleThe Journal of molecular diagnostics : JMD2010

Diagnostic testing for pandemic influenza in Singapore: a novel dual-gene quantitative real-time RT-PCR for the detection of influenza A/H1N1/2009.

Hong Kai Lee, Chun Kiat Lee, Tze Ping Loh, Julian Wei-Tze Tang, Lily Chiu, Paul A Tambyah, Sunil K Sethi, Evelyn Siew-Chuan Koay

Abstract readValidation Study
In one paragraph

Article in The Journal of molecular diagnostics : JMD, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

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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

8 authors.

Hong Kai LeeMolecular Diagnosis Centre, Department of Laboratory Medicine, National University Hospital, 5 Lower Kent Ridge Road, Singapore.
Chun Kiat Lee
Tze Ping Loh
Julian Wei-Tze Tang
Lily Chiu
Paul A Tambyah
Sunil K Sethi
Evelyn Siew-Chuan Koay

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With the relative global lack of immunity to the pandemic influenza A/H1N1/2009 virus that emerged in April 2009 as well as the sustained susceptibility to infection, rapid and accurate diagnostic assays are essential to detect this novel influenza A variant. Among the molecular diagnostic methods that have been developed to date, most are in tandem monoplex assays targeting either different regions of a single viral gene segment or different viral gene segments. We describe a dual-gene (duplex) quantitative real-time RT-PCR method selectively targeting pandemic influenza A/H1N1/2009. The assay design includes a primer-probe set specific to only the hemagglutinin (HA) gene of this novel influenza A variant and a second set capable of detecting the nucleoprotein (NP) gene of all swine-origin influenza A virus. In silico analysis of the specific HA oligonucleotide sequence used in the assay showed that it targeted only the swine-origin pandemic strain; there was also no cross-reactivity against a wide spectrum of noninfluenza respiratory viruses. The assay has a diagnostic sensitivity and specificity of 97.7% and 100%, respectively, a lower detection limit of 50 viral gene copies/PCR, and can be adapted to either a qualitative or quantitative mode. It was first applied to 3512 patients with influenza-like illnesses at a tertiary hospital in Singapore, during the containment phase of the pandemic (May to July 2009).

Indexed as

Base SequenceDNA PrimersDNA ProbesHumansInfluenza A Virus, H1N1 SubtypeInfluenza, HumanReverse Transcriptase Polymerase Chain ReactionRNA, MessengerSensitivity and SpecificitySingaporeViral LoadDNA PrimersDNA ProbesRNA, Messenger

Identifiers

PMID20688908
PMCPMC2928428

What OpenQuestion holds

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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.