Evidence map›Paper›PMID 33424805›Full record

ArticleFrontiers in microbiology2020

Development of a Directly Visualized Recombinase Polymerase Amplification-SYBR Green I Method for the Rapid Detection of African Swine Fever Virus.

Shuai Zhang, Aijun Sun, Bo Wan, Yongkun Du, Yanan Wu, Angke Zhang, Dawei Jiang, Pengchao Ji, Zhanyong Wei, Guoqing Zhuang and 1 more

Abstract read
In one paragraph

Article in Frontiers in microbiology, 2020. 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

11 authors.

Shuai ZhangCollege of Veterinary Medicine, Henan Agricultural University, Zhengzhou, China.
Aijun SunCollege of Veterinary Medicine, Henan Agricultural University, Zhengzhou, China.
Bo WanCollege of Veterinary Medicine, Henan Agricultural University, Zhengzhou, China.
Yongkun DuCollege of Veterinary Medicine, Henan Agricultural University, Zhengzhou, China.
Yanan WuCollege of Veterinary Medicine, Henan Agricultural University, Zhengzhou, China.
Angke ZhangCollege of Veterinary Medicine, Henan Agricultural University, Zhengzhou, China.
Dawei JiangCollege of Veterinary Medicine, Henan Agricultural University, Zhengzhou, China.
Pengchao JiCollege of Veterinary Medicine, Henan Agricultural University, Zhengzhou, China.
Zhanyong WeiCollege of Veterinary Medicine, Henan Agricultural University, Zhengzhou, China.
Guoqing ZhuangCollege of Veterinary Medicine, Henan Agricultural University, Zhengzhou, China.
Gaiping ZhangCollege of Veterinary Medicine, Henan Agricultural University, Zhengzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

African swine fever (ASF) is a lethal disease in swine caused by etiologic African swine fever virus (ASFV). The global spread of ASFV has resulted in huge economic losses globally. In the absence of effective vaccines or drugs, pathogen surveillance has been the most important first-line intervention to prevent ASF outbreaks. Among numerous diagnostic methods, recombinase polymerase amplification (RPA)-based detection is capable of producing sensitive and specific results without relying on the use of expensive instruments. However, currently used gene-specific, probe-based RPA for ASFV detection is expensive and time-consuming. To improve the efficiency of ASFV surveillance, a novel directly visualized SYBR Green I-staining RPA (RPAS) method was developed to detect the ASFV genome. SYBR Green I was added to the amplified RPA products for direct visualization by the naked eye. The sensitivity and specificity of this method were confirmed using standard plasmid and inactivated field samples. This method was shown to be highly specific with a detection limit of 10

Indexed as

African swine feverAfrican swine fever virusrecombinase polymerase amplificationsurveillanceSYBR green

Identifiers

PMID33424805
PMCPMC7793706

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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.