Evidence map›Paper›PMID 28188693›Full record

ArticleTransboundary and emerging diseases2017

Two Distinct Genotypes of Porcine Epidemic Diarrhoea Virus in Vaccinated Pig Flocks in Shandong Province of China, 2012-2015.

Y Zhang, Y Tian, S-L Lin, S-F Sun, J Chen, G-S Wang, F-L Tian, S-J Jiang

Abstract read
In one paragraph

Article in Transboundary and emerging diseases, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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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

2 citing papers in PubMed.

  1. Article
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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.

Y ZhangCollege of Veterinary Medicine, Shandong Agricultural University, Tai'an, China.
Y TianCollege of Veterinary Medicine, Shandong Agricultural University, Tai'an, China.
S-L LinCollege of Veterinary Medicine, Shandong Agricultural University, Tai'an, China.
S-F SunShandong Provincial Center for Animal Disease Control and Prevention, Jinan, China.
J ChenShandong Provincial Center for Animal Disease Control and Prevention, Jinan, China.
G-S WangShandong Provincial Center for Animal Disease Control and Prevention, Jinan, China.
F-L TianCollege of Veterinary Medicine, Shandong Agricultural University, Tai'an, China.
S-J JiangCollege of Veterinary Medicine, Shandong Agricultural University, Tai'an, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As one of the top pork producers in China, Shandong Province suffered frequent outbreaks of porcine epidemic diarrhoea virus (PEDV) on pig farms from January 2012 to July 2015, resulting in significant economic losses. To better understand the prevalence situation, we conducted molecular epidemiological analyses of 38 PEDV strains isolated from 13 cities in Shandong Province. The detection rate of PEDV was 71.2% (146/205) by reverse transcription polymerase chain reaction (RT-PCR). The S genes of the 38 isolated samples were 4146 to 4161 nt in length and shared high levels of sequence identity (93.3-99.6% nt, 92.1-99.4% aa) with those of the 41 reference strains. Among the 38 strains, 31 strains that occupied 12 cities were classed into G3 genotype, while the other seven that only existed in four cities were classed into G2 genotype. In addition, the strains CH-SDLY-2-2014 and CH-SDLY-3-2014 isolated from Linyi were classed into the Gd subgenotype. Notably, there were multiple insertions or deletions in the S genes and several mutations in the neutralizing epitopes of the PEDV S protein. Overall, the results revealed that G2 and G3 are the predominant PEDV genotypes circulating in Shandong Province during 2012-2015, and Gd subgenotype in G3 group had already spread towards northern China in 2014.

Indexed as

AnimalsChinaCoronavirus InfectionsDisease OutbreaksGenotypeMutationPhylogenyPorcine epidemic diarrhea virusSwineSwine DiseasesGd subgenotypegenotypemutationporcine epidemic diarrhoea virusS gene

Identifiers

PMID28188693
PMCPMC7169864

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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.