Evidence map›Paper›PMID 36187816›Full record

ArticleFrontiers in veterinary science2022

Establishment of a reverse transcription recombinase-aided amplification detection method for porcine group a rotavirus.

Yushun Wang, Mincai Nie, Huidan Deng, Siyuan Lai, Yuancheng Zhou, Xiangan Sun, Ling Zhu, Zhiwen Xu

Open access · goldAbstract read
In one paragraph

Article in Frontiers in veterinary science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.7field-weighted citation impact, top 14% 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

7 citing papers in PubMed, 17 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

8 authors at 2 institutions in 1 country.

Yushun WangCollege of Veterinary Medicine, Sichuan Agricultural University, Chengdu, China.
Mincai NieCollege of Veterinary Medicine, Sichuan Agricultural University, Chengdu, China.
Huidan DengCollege of Veterinary Medicine, Sichuan Agricultural University, Chengdu, China.
Siyuan LaiCollege of Veterinary Medicine, Sichuan Agricultural University, Chengdu, China.
Yuancheng ZhouAnimal Breeding and Genetics Key Laboratory of Sichuan Province, Sichuan Animal Science Academy, Chengdu, China.
Xiangan SunCollege of Veterinary Medicine, Sichuan Agricultural University, Chengdu, China.
Ling ZhuCollege of Veterinary Medicine, Sichuan Agricultural University, Chengdu, China.
Zhiwen XuCollege of Veterinary Medicine, Sichuan Agricultural University, Chengdu, China.
Sichuan Agricultural University · CNSichuan Animal Science Academy · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Porcine rotavirus type A (PoRVA) is the main cause of dehydration and diarrhea in piglets, which has a great impact on the development of the pig industry worldwide. A rapid, accurate and sensitive detection method is conducive to the monitoring, control, and removal of PoRVA. In this study, a PoRVA real-time fluorescent reverse transcription recombinase-aided amplification (RT-RAA) assay was developed. Based on the PoRVA VP6 gene, specific primers and probes were designed and synthesized. The sensitivity of RT-RAA and TaqMan probe-based RT-qPCR was 7 copies per reaction and 5 copies per reaction, respectively. The sensitivity of the RT-RAA method was close to TaqMan probe-based RT-qPCR. The detection results of RT-RAA and TaqMan probe-based quantitative real-time RT-PCR methods were completely consistent in 241 clinical samples. Therefore, we successfully established a rapid and specific RT-RAA diagnostic method for PoRVA.

Indexed as

detection assayporcine rotavirusRT-qPCR methodsRT-RAAVP6 gene

Identifiers

PMID36187816
PMCPMC9519424
OpenAlexW4296106764

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.