Evidence map›Paper›PMID 34368288›Full record

ArticleFrontiers in veterinary science2021

Isolation, Identification, and Evaluation of the Pathogenicity of a Porcine Enterovirus G Isolated From China.

Xue Mi, Chunjie Yang, Ying Lu, Hejie Wang, Qiuying Qin, Ronglin Chen, Zhenkong Chen, Yunyan Luo, Ying Chen, Zuzhang Wei and 2 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in veterinary science, 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
1.6field-weighted citation impact, top 15% 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, 15 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

12 authors at 1 institution in 1 country.

Xue MiCollege of Animal Science and Technology, Guangxi University, Nanning, China.
Chunjie YangCollege of Animal Science and Technology, Guangxi University, Nanning, China.
Ying LuCollege of Animal Science and Technology, Guangxi University, Nanning, China.
Hejie WangCollege of Animal Science and Technology, Guangxi University, Nanning, China.
Qiuying QinCollege of Animal Science and Technology, Guangxi University, Nanning, China.
Ronglin ChenCollege of Animal Science and Technology, Guangxi University, Nanning, China.
Zhenkong ChenCollege of Animal Science and Technology, Guangxi University, Nanning, China.
Yunyan LuoCollege of Animal Science and Technology, Guangxi University, Nanning, China.
Ying ChenCollege of Animal Science and Technology, Guangxi University, Nanning, China.
Zuzhang WeiCollege of Animal Science and Technology, Guangxi University, Nanning, China.
Weijian HuangCollege of Animal Science and Technology, Guangxi University, Nanning, China.
Kang OuyangCollege of Animal Science and Technology, Guangxi University, Nanning, China.
Guangxi University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Enterovirus G (EV-G) infects porcine populations worldwide and the infections are generally asymptomatic, with the insertion of the papain-like cysteine protease gene (PLCP) increasing the potential public health threats. However, the genetic and pathogenic characteristics of EV-G itself are not fully understood as yet. In the present study, one EV-G strain, named CH/17GXQZ/2017, was isolated and purified from piglets with diarrheic symptoms from the Guangxi Province, China. This strain produced stable cytopathic effects on Marc-145 cells with a titer of 5 × 10

Indexed as

Enterovirus Gpathogenicityphylogenetic analysispigletsvirus isolation

Identifiers

PMID34368288
PMCPMC8339413
OpenAlexW3190264857

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.