Evidence map›Paper›PMID 21029748›Full record

ArticleJournal of virological methods2011

One-step real-time reverse transcription-PCR assays for detecting and subtyping pandemic influenza A/H1N1 2009, seasonal influenza A/H1N1, and seasonal influenza A/H3N2 viruses.

Mina Nakauchi, Yoshihiro Yasui, Tatsuya Miyoshi, Hiroko Minagawa, Tomoyuki Tanaka, Masato Tashiro, Tsutomu Kageyama

Abstract readEvaluation Study
In one paragraph

Article in Journal of virological methods, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing 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

37 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

7 authors.

Mina NakauchiInfluenza Virus Research Center, National Institute of Infectious Diseases, Tokyo, Japan.
Yoshihiro Yasui
Tatsuya Miyoshi
Hiroko Minagawa
Tomoyuki Tanaka
Masato Tashiro
Tsutomu Kageyama

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pandemic influenza A/H1N1 2009 (A/H1N1pdm) virus has caused significant outbreaks worldwide. A previous one-step real-time reverse transcription-PCR (rRT-PCR) assay for detecting A/H1N1pdm virus (H1pdm rRT-PCR assay) was improved since the former probe had a low melting temperature and low tolerance to viral mutation. To help with the screening of the A/H1N1pdm virus, rRT-PCR assays were also developed for detecting human seasonal A/H1N1 (H1 rRT-PCR assay) and A/H3N2 influenza viruses (H3 rRT-PCR assay). H1pdm, H1, and H3 rRT-PCR assays were evaluated using in vitro-transcribed control RNA, isolated viruses, and other respiratory pathogenic viruses, and were shown to have high sensitivity, good linearity (R(2)=0.99), and high specificity. In addition, the improved H1pdm rRT-PCR assay could detect two viral strains of A/H1N1pdm, namely, A/Aichi/472/2009 (H1N1)pdm and A/Sakai/89/2009 (H1N1)pdm, which have mutation(s) in the probe-binding region of the hemagglutinin gene, without loss of sensitivity. Using the three rRT-PCR assays developed, 90 clinical specimens collected between May and October 2009 were then tested. Of these, 26, 20, and 2 samples were identified as positive for A/H1pdm, A/H3, and A/H1, respectively, while 42 samples were negative for influenza A viruses. The present results suggest that these highly sensitive and specific H1pdm, H1, and H3 rRT-PCR assays are useful not only for diagnosing influenza viruses, but also for the surveillance of influenza viruses.

Indexed as

HumansInfluenza A Virus, H1N1 SubtypeInfluenza A Virus, H3N2 SubtypeInfluenza, HumanReverse Transcriptase Polymerase Chain ReactionSensitivity and SpecificityVirology

Identifiers

PMID21029748
PMCPMC7173154

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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.