Evidence map›Paper›PMID 34440506›Full record

ArticleLife (Basel, Switzerland)2021

Recombinase-Aided Amplification Coupled with Lateral Flow Dipstick for Efficient and Accurate Detection of Porcine Parvovirus.

Yihong He, Wenxian Chen, Jindai Fan, Shuangqi Fan, Hongxing Ding, Jinding Chen, Lin Yi

Open access · goldAbstract read
In one paragraph

Article in Life (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.4field-weighted citation impact, top 20% 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

11 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
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  5. Survey ofTransboundary and emerging diseases · 2025
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  8. Review
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  11. Rapid detection ofFrontiers in cellular and infection microbiology · 2022
    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

7 authors at 2 institutions in 1 country.

Yihong HeCollege of Veterinary Medicine, South China Agricultural University, Guangzhou 510642, China.
Wenxian ChenCollege of Veterinary Medicine, South China Agricultural University, Guangzhou 510642, China.
Jindai FanCollege of Veterinary Medicine, South China Agricultural University, Guangzhou 510642, China.
Shuangqi FanCollege of Veterinary Medicine, South China Agricultural University, Guangzhou 510642, China.
Hongxing DingCollege of Veterinary Medicine, South China Agricultural University, Guangzhou 510642, China.
Jinding ChenCollege of Veterinary Medicine, South China Agricultural University, Guangzhou 510642, China.
Lin YiCollege of Veterinary Medicine, South China Agricultural University, Guangzhou 510642, China.
South China Agricultural University · CNKey Laboratory of Guangdong Province · CN

Funding

111 Project D20008Guangdong Major Project of Basic and Applied Basic Research 2020B0301030007Key Research Projects of Universities in Guangdong Province 2019KZDXM026Science and Technology Program of Guangdong, China 2019B020211003the Science and Technology Program of Guangzhou, China 201803020005
6 · The paper itself

Abstract

Porcine parvovirus (PPV) infection is the primary cause of SMEDI (stillbirth; mummification; embryonic death; infertility) syndrome, which is a global burden for the swine industry. Thus, it is crucial to establish a rapid and efficient detection method against PPV infection. In the present work, we developed a recombinase-aided amplification (RAA) assay, coupled with a lateral flow dipstick (LFD), to achieve an amplification of PPV DNA at 37 °C within 15 min. The detection limits of PPV RAA-LFD assay were 10

Indexed as

lateral flow dipstickporcine parvovirusrecombinase-aided amplification

Identifiers

PMID34440506
PMCPMC8401844
OpenAlexW3186654711

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.