Evidence map›Paper›PMID 31123014›Full record

ArticleMicrobiology resource announcements2019

Genome Sequence of Classical Swine Fever Virus NIVEDI-165, Subtype 1.1, a Field Virus Strain Isolated from the Southern Part of India.

S S Patil, K P Suresh, R G Amachawadi, David A Meekins, J A Richt, Mainak Mondal, J Hiremath, D Hemadri, H Rahman, Parimal Roy

Abstract read
In one paragraph

Article in Microbiology resource announcements, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Spatial seroprevalence of classical swine fever in India.Tropical animal health and production · 2021
    Article
  2. Article
  3. 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

10 authors.

S S PatilVirology Section, ICAR-National Institute of Veterinary Epidemiology and Disease Informatics (NIVEDI), Yelahanka, Bengaluru, India.
K P SureshDisease Informatics Laboratory, ICAR-National Institute of Veterinary Epidemiology and Disease Informatics (NIVEDI), Yelahanka, Bengaluru, India.
R G AmachawadiDepartment of Clinical Sciences, College of Veterinary Medicine, Kansas State University, Manhattan, Kansas, USA agraghav@vet.k-state.edu.ORCID https://orcid.org/0000-0001-9689-1124
David A MeekinsDepartment of Diagnostic Medicine/Pathobiology (CEEZAD), College of Veterinary Medicine, Kansas State University, Manhattan, Kansas, USA.
J A RichtDepartment of Diagnostic Medicine/Pathobiology (CEEZAD), College of Veterinary Medicine, Kansas State University, Manhattan, Kansas, USA.
Mainak MondalDisease Informatics Laboratory, ICAR-National Institute of Veterinary Epidemiology and Disease Informatics (NIVEDI), Yelahanka, Bengaluru, India.
J HiremathVirology Section, ICAR-National Institute of Veterinary Epidemiology and Disease Informatics (NIVEDI), Yelahanka, Bengaluru, India.
D HemadriVirology Section, ICAR-National Institute of Veterinary Epidemiology and Disease Informatics (NIVEDI), Yelahanka, Bengaluru, India.
H RahmanRegional Representative for South Asia, ILRI, New Delhi, India.
Parimal RoyVirology Section, ICAR-National Institute of Veterinary Epidemiology and Disease Informatics (NIVEDI), Yelahanka, Bengaluru, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The whole-genome sequence of an Indian field isolate of classical swine fever virus, NIVEDI-165, was found to be subtype 1.1, and it showed 89 to 99% amino acid identity and 84 to 99% nucleotide identity with four and five Indian classical swine fever virus (CSFV) isolates, respectively. To the best of our knowledge, this is the first report on a full-genome sequence of CSFV from South India.

Identifiers

PMID31123014
PMCPMC6533384

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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.