Evidence map›Paper›PMID 38930866›Full record

ArticleMolecules (Basel, Switzerland)2024

Dual Gene Detection of H5N1 Avian Influenza Virus Based on Dual RT-RPA.

Qian Wang, Shiwen Wu, Jiangbing Shuai, Ye Li, Xianshu Fu, Mingzhou Zhang, Xiaoping Yu, Zihong Ye, Biao Ma

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Molecules (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

9 authors.

Qian WangCollege of Life Sciences, China Jiliang University, Hangzhou 310018, China.
Shiwen WuCollege of Life Sciences, China Jiliang University, Hangzhou 310018, China.
Jiangbing ShuaiZhejiang Institute of Inspection and Quarantine Science and Technology, Hangzhou 311241, China.
Ye LiZhejiang University of Science and Technology, Hangzhou 310023, China.
Xianshu FuCollege of Life Sciences, China Jiliang University, Hangzhou 310018, China.ORCID 0000-0001-7107-9586
Mingzhou ZhangCollege of Life Sciences, China Jiliang University, Hangzhou 310018, China.ORCID 0000-0002-8203-8090
Xiaoping YuCollege of Life Sciences, China Jiliang University, Hangzhou 310018, China.
Zihong YeCollege of Life Sciences, China Jiliang University, Hangzhou 310018, China.ORCID 0000-0002-5827-3699
Biao MaCollege of Life Sciences, China Jiliang University, Hangzhou 310018, China.ORCID 0000-0002-3544-9727

Funding

the National Key Research and Development Program of China 2021YFF0602801the Natural Fund Exploration Project of Zhejiang Province LTGN23B050001
6 · The paper itself

Abstract

The H5N1 avian influenza virus seriously affects the health of poultry and humans. Once infected, the mortality rate is very high. Therefore, accurate and timely detection of the H5N1 avian influenza virus is beneficial for controlling its spread. This article establishes a dual gene detection method based on dual RPA for simultaneously detecting the HA and M2 genes of H5N1 avian influenza virus, for the detection of H5N1 avian influenza virus. Design specific primers for the conserved regions of the HA and M2 genes. The sensitivity of the dual RT-RPA detection method for HA and M2 genes is 1 × 10

Indexed as

Influenza A Virus, H5N1 SubtypeInfluenza in BirdsAnimalsBirdsHemagglutinin Glycoproteins, Influenza VirusHumansInfluenza, HumanSensitivity and SpecificityViral Matrix ProteinsViroporin ProteinsHemagglutinin Glycoproteins, Influenza VirusM2 protein, Influenza A virusViral Matrix ProteinsViroporin Proteinsavian influenza virusdual RPAH5N1 subtypevirus detection

Identifiers

PMID38930866
PMCPMC11206350

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.