Evidence map›Paper›PMID 30053826›Full record

ArticleVeterinary research2018

Infection of novel reassortant H1N2 and H3N2 swine influenza A viruses in the guinea pig model.

Rodrigo Tapia, Victoria García, Juan Mena, Sergio Bucarey, Rafael A Medina, Víctor Neira

Abstract read
In one paragraph

Article in Veterinary research, 2018. 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
–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

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.

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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

6 authors.

Rodrigo TapiaDepartamento de Medicina Preventiva Animal, Facultad de Ciencias Veterinarias y Pecuarias, Universidad de Chile, Santa Rosa, 11735, Santiago, Chile.
Victoria GarcíaDepartamento de Medicina Preventiva Animal, Facultad de Ciencias Veterinarias y Pecuarias, Universidad de Chile, Santa Rosa, 11735, Santiago, Chile.
Juan MenaDepartamento de Medicina Preventiva Animal, Facultad de Ciencias Veterinarias y Pecuarias, Universidad de Chile, Santa Rosa, 11735, Santiago, Chile.
Sergio BucareyDepartamento de Medicina Preventiva Animal, Facultad de Ciencias Veterinarias y Pecuarias, Universidad de Chile, Santa Rosa, 11735, Santiago, Chile.
Rafael A MedinaDepartamento de Enfermedades Infecciosas e Inmunología Pediátrica, Escuela de Medicina, Pontificia Universidad Católica de Chile, Santiago, Chile.
Víctor NeiraDepartamento de Medicina Preventiva Animal, Facultad de Ciencias Veterinarias y Pecuarias, Universidad de Chile, Santa Rosa, 11735, Santiago, Chile. victorneira@u.uchile.cl.ORCID 0000-0001-9062-9969

Funding

NIAID NIH HHS HHSN272201400008C
6 · The paper itself

Abstract

Novel H1N2 and H3N2 swine influenza A viruses (IAVs) were identified in commercial farms in Chile. These viruses contained H1, H3 and N2 sequences, genetically divergent from IAVs described worldwide, associated with pandemic internal genes. Guinea pigs were used as human surrogate to evaluate the infection dynamics of these reassortant viruses, compared with a pandemic H1N1 virus. All viruses replicated and were shed in the upper respiratory tract without prior adaptation although H1N2 viruses showed the highest shedding titers. This could have public health importance, emphasizing the need to carry out further studies to evaluate the zoonotic potential of these viruses.

Indexed as

AnimalsGuinea PigsHemagglutinin Glycoproteins, Influenza VirusInfluenza A Virus, H1N2 SubtypeInfluenza A Virus, H3N2 SubtypeOrthomyxoviridae InfectionsPhylogenyReassortant VirusesSequence Analysis, RNAH1N1 virus hemagglutininHemagglutinin Glycoproteins, Influenza Virus

Identifiers

PMID30053826
PMCPMC6062863

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.