Evidence map›Paper›PMID 39205227›Full record

ArticleViruses2024

vHDvDB 2.0: Database and Group Comparison Server for Hepatitis Delta Virus.

Chi-Ching Lee, Yiu Chung Lau, You-Kai Liang, Yun-Hsuan Hsian, Chun-Hsiang Lin, Hsin-Ying Wu, Deborah Jing Yi Tan, Yuan-Ming Yeh, Mei Chao

Abstract read
In one paragraph

Article in Viruses, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

9 authors.

Chi-Ching LeeDepartment of Computer Science and Information Engineering, Chang Gung University, Taoyuan 33302, Taiwan.ORCID 0000-0003-2912-7745
Yiu Chung LauDepartment of Computer Science and Information Engineering, Chang Gung University, Taoyuan 33302, Taiwan.
You-Kai LiangDepartment of Computer Science and Information Engineering, Chang Gung University, Taoyuan 33302, Taiwan.
Yun-Hsuan HsianDepartment of Computer Science and Information Engineering, Chang Gung University, Taoyuan 33302, Taiwan.
Chun-Hsiang LinDepartment of Computer Science and Information Engineering, Chang Gung University, Taoyuan 33302, Taiwan.
Hsin-Ying WuDepartment of Computer Science and Information Engineering, Chang Gung University, Taoyuan 33302, Taiwan.
Deborah Jing Yi TanDepartment of Microbiology and Immunology and Division of Microbiology, Graduate Institute of Biomedical Sciences, School of Medicine, Chang Gung University, Taoyuan 333, Taiwan.
Yuan-Ming YehGenomic Medicine Core Laboratory, Chang Gung Memorial Hospital, Taoyuan 33305, Taiwan.ORCID 0000-0001-8720-947X
Mei ChaoDepartment of Microbiology and Immunology and Division of Microbiology, Graduate Institute of Biomedical Sciences, School of Medicine, Chang Gung University, Taoyuan 333, Taiwan.ORCID 0000-0002-2143-0531

Funding

Chang Gung Memorial Hospital CMRPD1M0751Chang Gung University BMRPF59National Science and Technology Council 1112-2221-E-182-049
6 · The paper itself

Abstract

The hepatitis delta virus (HDV) is a unique pathogen with significant global health implications, affecting individuals who are coinfected with the hepatitis B virus (HBV). HDV infection has profound clinical consequences, manifesting either as coinfection with HBV, resulting in acute hepatitis and potential liver failure, or as superinfection in chronic HBV cases, substantially increasing the risk of cirrhosis and hepatocellular carcinoma. Given the complex dynamics of HDV infection and the urgent need for advanced research tools, this article introduces vHDvDB 2.0, a comprehensive HDV full-length sequence database. This innovative platform integrates data preprocessing, secondary structure prediction, and epidemiological research tools. The primary goal of vHDvDB 2.0 is to consolidate HDV sequence data into a user-friendly repository, thereby facilitating access for researchers and enhancing the broader scientific understanding of HDV. The significance of this database lies in its potential to streamline HDV research by providing a centralized resource for analyzing viral sequences and exploring genotype-specific characteristics. It will also enable more in-depth research within the HDV sequence domains.

Indexed as

Hepatitis DHepatitis Delta VirusCoinfectionComputational BiologyDatabases, GeneticGenome, ViralGenotypeHepatitis BHumansdatabasegenotypinghepatitis delta virusweb server

Identifiers

PMID39205227
PMCPMC11359145

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.