Evidence map›Paper›PMID 22705732›Full record

ArticleJournal of veterinary science2012

Isolation and genetic characterization of Japanese encephalitis virus from equines in India.

Baldev R Gulati, Harisankar Singha, Birendra K Singh, Nitin Virmani, Sanjay Kumar, Raj K Singh

Open access · goldAbstract read
In one paragraph

Article in Journal of veterinary science, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
3.1field-weighted citation impact, top 9% 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 30 citations in OpenAlex.

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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 1 institution in 1 country.

Baldev R GulatiNational Research Centre on Equines, Sirsa Road, Hisar-125001, Haryana, India. brgulati@gmail.com
Harisankar Singha
Birendra K Singh
Nitin Virmani
Sanjay Kumar
Raj K Singh
National Research Centre on Equines · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Japanese encephalitis (JE) is an important vector-borne viral disease of humans and horses in Asia. JE outbreaks occur regularly amongst humans in certain parts of India and sporadic cases occur among horses. In this study, JE seroprevalence and evidence of JE virus (JEV) infection among horses in Haryana (India) is described. Antibodies against JEV were detected in 67 out of 637 (10.5%) horses screened between 2006 and 2010. Two foals exhibiting neurological signs were positive for JEV RNA by RT-PCR; JEV was isolated from the serum of one of the foals collected on the second day of illness. This is the first report of JEV isolation from a horse in India. Furthermore, a pool of mosquitoes collected from the premises housing these foals was positive for JEV RNA by RT-PCR. Three structural genes, capsid (C), premembrane (prM), and envelope (E) of the isolated virus (JE/eq/India/H225/2009) spanning 2,500 nucleotides (from 134 to 2,633) were cloned and sequenced. BLAST results showed that these genes had a greater than 97% nucleotide sequence identity with different human JEV isolates from India. Phylogenetic analysis based on E-and C/prM genes indicated that the equine JEV isolate belonged to genotype III and was closely related to the Vellore group of JEV isolates from India.

Indexed as

AnimalsAntibodies, MonoclonalCloning, MolecularCulexEncephalitis, JapaneseEncephalitis Virus, JapaneseEnzyme-Linked Immunosorbent AssayFemaleGenes, ViralGenotypeHorse DiseasesHorsesIndiaReverse Transcriptase Polymerase Chain ReactionRNA, ViralSeroepidemiologic StudiesAntibodies, MonoclonalRNA, Viral

Identifiers

PMID22705732
PMCPMC3386335
OpenAlexW2063634497

What OpenQuestion holds

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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.