Evidence map›Paper›PMID 29148382›Full record

ArticleEmerging infectious diseases2017

High Abundance and Genetic Variability of Atypical Porcine Pestivirus in Pigs from Europe and Asia.

Alexander Postel, Denise Meyer, Gökce Nur Cagatay, Francesco Feliziani, Gian Mario De Mia, Nicole Fischer, Adam Grundhoff, Vesna Milićević, Ming-Chung Deng, Chia-Yi Chang and 4 more

Open access · diamondAbstract read
In one paragraph

Article in Emerging infectious diseases, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed
11.9field-weighted citation impact, top 1% 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

44 citing papers in PubMed, 78 citations in OpenAlex.

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  16. Development and Evaluation of Antigen-Specific Dual MatrixJournal of clinical microbiology · 2022
    Article
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  20. Development and use of a droplet digital PCR (ddPCR) assay to achieve sensitive and fast atypical porcine pestivirus detection.Brazilian journal of microbiology : [publication of the Brazilian Society for 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

14 authors at 7 institutions in 3 countries.

Alexander Postel
Denise Meyer
Gökce Nur Cagatay
Francesco Feliziani
Gian Mario De Mia
Nicole Fischer
Adam Grundhoff
Vesna Milićević
Ming-Chung Deng
Chia-Yi Chang
Hua-Ji Qiu
Yuan Sun
Michael Wendt
Paul Becher
Istituto Zooprofilattico Sperimentale dell'Umbria e delle Marche · ITAnimal Health Research Institute · TWUniversity Medical Center Hamburg-Eppendorf · DEUniversity of Veterinary Medicine Hannover, Foundation · DEFischer (Germany) · DELeibniz Institute of Virology (LIV) · DEUniversität Hamburg · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Atypical porcine pestivirus (APPV) was recently reported to be associated with neurologic disorders in newborn piglets. Investigations of 1,460 serum samples of apparently healthy pigs from different parts of Europe and Asia demonstrate a geographically wide distribution of genetically highly variable APPV and high APPV genome and antibody detection rates.

Indexed as

Genetic VariationGenome, ViralAnimalsAnimals, NewbornAntibodies, ViralAsiaAsymptomatic DiseasesDEAD-box RNA HelicasesEuropeNucleoside-TriphosphatasePestivirusPestivirus InfectionsPhylogenyRNA HelicasesRNA, ViralSerine EndopeptidasesAntibodies, ViralDEAD-box RNA HelicasesNS3 protein, flavivirusNucleoside-TriphosphataseRNA HelicasesRNA, ViralSerine EndopeptidasesViral Nonstructural ProteinsViral ProteasesAsiaatypical porcine pestivirusEuropegenetic variabilitygenome detectiongeographic distributionserologyviruseszoonoses

Identifiers

PMID29148382
PMCPMC5708225
OpenAlexW2766688337

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.