Evidence map›Paper›PMID 28215186›Full record

ArticleEpidemiology and infection2017

Complete genome characterization and evolutionary analysis of serotype-4 associated with severe dengue.

K Vaddadi, C Gandikota, M Venkataramana

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Article in Epidemiology and infection, 2017. 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
1.0field-weighted citation impact, top 21% 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, 15 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

3 authors at 1 institution in 1 country.

K VaddadiDepartment of Biotechnology and Bioinformatics,School of Life Sciences,University of Hyderabad,Hyderabad, Telangana State,India.
C GandikotaDepartment of Biotechnology and Bioinformatics,School of Life Sciences,University of Hyderabad,Hyderabad, Telangana State,India.
M VenkataramanaDepartment of Biotechnology and Bioinformatics,School of Life Sciences,University of Hyderabad,Hyderabad, Telangana State,India.
University of Hyderabad · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Dengue virus circulates as four independent serotypes posing a major public health threat around the globe. In the recent years, frequent dengue outbreaks are being reported in many parts of the world including India. Among four serotypes, Den-4 is the least sampled and studied serotype until recent times, but the reported cases with Den-4 infections were mostly known to associate with severe dengue. In the past three decades, only one complete genome sequence of Den-4 has been published from India. Hence there is a deficit in information with reference to this serotype which would be required in deciphering its association with severe dengue. In this study, we have carried out the complete genome characterization of Den-4 virus, isolated from a dengue shock syndrome patient during the 2015 outbreak from Hyderabad, South India. Phylogenetic analysis revealed the circulation of genotype I (lineage C) which showed close relatedness to the reported virulent strains. The data also indicated few unique amino acid substitutions which are known to be important in virus replication and epitope presentation. This is the first report of complete genome characterization of Den-4 from South India, which may assist in shaping the genetic diversity of circulating strains in India.

Indexed as

Evolution, MolecularGenetic VariationGenome, ViralChildDengue VirusGenotypeHumansIndiaMalePhylogenyRNA, ViralSequence Analysis, RNASerogroupSevere DengueRNA, ViralDengue feverdengue hemorrhagic fever (DHF)dengue serotype 4dengue shock syndrome (DSS)Flaviviruses

Identifiers

PMID28215186
PMCPMC9203353
OpenAlexW2590217954

What OpenQuestion holds

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Registered trials

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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.