Evidence map›Paper›PMID 23865043›Full record

ArticleBioMed research international2013

Bovine papillomavirus in Brazil: detection of coinfection of unusual types by a PCR-RFLP method.

R F Carvalho, S T Sakata, D N S Giovanni, E Mori, P E Brandão, L J Richtzenhain, C R Pozzi, J R P Arcaro, M S Miranda, J Mazzuchelli-de-Souza and 5 more

Open access · hybridAbstract read
In one paragraph

Article in BioMed research international, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.6field-weighted citation impact, top 16% 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

8 citing papers in PubMed, 27 citations in OpenAlex.

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  8. Papillomaviruses: a systematic review.Genetics and molecular biology
    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

15 authors at 4 institutions in 1 country.

R F CarvalhoLaboratório de Genética, Instituto Butantan, Secretária de Estado da Saúde, Avenida Vital Brasil 1500, Butantan, 05503-900 São Paulo, SP, Brazil. rodsfc@uol.com.br
S T Sakata
D N S Giovanni
E Mori
P E Brandão
L J Richtzenhain
C R Pozzi
J R P Arcaro
M S Miranda
J Mazzuchelli-de-Souza
T C Melo
G Comenale
S L M R Assaf
W Beçak
R C Stocco
Instituto Butantan · BRUniversidade de São Paulo · BRAgência Paulista de Tecnologia dos Agronegócios · BRInstitute of Animal Science and Pastures · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bovine papillomavirus (BPV) is recognized as a causal agent of benign and malignant tumors in cattle. Thirteen types of BPV are currently characterized and classified into three distinct genera, associated with different pathological outcomes. The described BPV types as well as other putative ones have been demonstrated by molecular biology methods, mainly by the employment of degenerated PCR primers. Specifically, divergences in the nucleotide sequence of the L1 gene are useful for the identification and classification of new papillomavirus types. On the present work, a method based on the PCR-RFLP technique and DNA sequencing was evaluated as a screening tool, allowing for the detection of two relatively rare types of BPV in lesions samples from a six-year-old Holstein dairy cow, chronically affected with cutaneous papillomatosis. These findings point to the dissemination of BPVs with unclear pathogenic potential, since two relatively rare, new described BPV types, which were first characterized in Japan, were also detected in Brazil.

Indexed as

AnimalsBiopsyBrazilCattleCattle DiseasesCoinfectionDeltapapillomavirusPapillomavirus InfectionsPhylogenyPolymerase Chain ReactionPolymorphism, Restriction Fragment LengthWarts

Identifiers

PMID23865043
PMCPMC3705948
OpenAlexW2057234378

What OpenQuestion holds

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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.