Evidence map›Paper›PMID 30147259›Full record

ArticleVeterinary world2018

Molecular detection and immunopathological examination of

Emad Beshir Ata, Mohamed Abd El-Fatah Mahmoud, A A Madboli

Open access · goldAbstract read
In one paragraph

Article in Veterinary world, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
0.7field-weighted citation impact, top 32% 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, 1 synthesis or guideline pooled it, 18 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
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  5. 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

3 authors at 1 institution in 2 countries.

Emad Beshir AtaDepartment of Parasitology and Animal Diseases, Veterinary Research Division, National Research Center, 12622 Dokki, Giza, Egypt.
Mohamed Abd El-Fatah MahmoudDepartment of Parasitology and Animal Diseases, Veterinary Research Division, National Research Center, 12622 Dokki, Giza, Egypt.
A A MadboliDepartment of Animal Reproduction and Artificial Insemination, Veterinary Research Division, National Research Center, 12622 Dokki, Giza, Egypt.
National Research Centre · EG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimBovine papillomaviruses (BPVs) are the main cause of bovine papillomatosis resulting in cutaneous and/or mucosal benign tumors that could be transformed to malignant ones with marked economic importance, especially in the dairy farms. Molecular, pathological, and immunohistochemical (IHC) diagnosis of bovine papillomatosis cases was conducted to identify and characterize the circulating BPV genotype in some Egyptian governorates. MATERIALS AND

methodsWart-like lesions in skin, udder, and teats were collected from 123 infected cases in Giza, Beni Suef, and El Menoufia Governorates, Egypt, during 2016-2017. Pathological and IHC characterization, molecular identification, genotyping, and phylogenetic analysis based on the conserved late (L1) gene of the all samples were carried out.

results89 of the 123 collected samples (72.3%) were positively detected by polymerase chain reaction (PCR). The sequence analysis of the obtained PCR amplicons was identical revealing identification and genotyping of only one type (

conclusionIt is the first time to detect and genotype the BPVs in these areas with no record of previous genotyping in the whole country. The obtained results will highlight the importance of this disease.

Indexed as

bovine papillomavirusescharacterizationEgyptgenotypingimmunohistochemicalpathologicalphylogeny

Identifiers

PMID30147259
PMCPMC6097563
OpenAlexW2848905680

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.