Evidence map›Paper›PMID 23329009›Full record

ArticleVirus genes2013

Identification of a novel subtype of feline immunodeficiency virus in a population of naturally infected felines in the Brazilian Federal District.

T G Marçola, C P C Gomes, P A Silva, G R Fernandes, G R Paludo, R W Pereira

Abstract read
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In one paragraph

Article in Virus genes, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.7field-weighted citation impact, top 31% 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

5 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. S1 gene-based phylogeny of infectious bronchitis virus: An attempt to harmonize virus classification.Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases · 2016
    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

6 authors at 2 institutions in 1 country.

T G MarçolaLaboratório de Microbiologia e Patologia Veterinária, Faculdade de Agronomia e Medicina Veterinária, Universidad de Brasília(UnB), Brasília, Brazil.
C P C Gomes
P A Silva
G R Fernandes
G R Paludo
R W Pereira
Universidade Católica de Brasília · BRUniversidade de Brasília · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The feline immunodeficiency virus (FIV) is a retrovirus that is found worldwide, and it can be assigned to six subtypes (A, B, C, D, E, and a putative subtype F) based on sequencing analysis of the env and gag genes. Subtypes A and B are the most common worldwide. In Brazil, several authors have isolated only subtype B, and its prevalence differs markedly among investigated populations. Blood samples from 200 domestic felines from the Federal District in Brazil were analyzed by PCR. Samples that tested positive for FIV were then cloned, sequenced, and analyzed phylogenetically and statistically. The results represent the first description of FIV infection in the Central Region of Brazil and suggest that only 2 % of felines in this region are positive for the virus. In addition, the analysis showed that one out of the four positive samples that we detected could not be assigned to any of the six classical subtypes. This sample was taken as a putative novel subtype of the FIV virus. The remaining three positive samples were assigned to subtype B, with differences existing among these samples.

Indexed as

AnimalsBloodBrazilCat DiseasesCatsCloning, MolecularCluster AnalysisGenotypeImmunodeficiency Virus, FelineLentivirus InfectionsPhylogenyPolymerase Chain ReactionSequence Analysis, DNASequence Homology

Identifiers

PMID23329009
OpenAlexW2139384353

What OpenQuestion holds

Textmetadata
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.