Evidence map›Paper›PMID 29358564›Full record

ReviewJournal of biosciences2017

Polymorphisms in the hepatitis C virus core and its association with development of hepatocellular carcinoma.

Virginia Sedeno-Monge, Veronica Vallejo-Ruiz, Francisca Sosa-Jurado, Gerardo Santos-Lopez

Abstract readReview
PubMed Publisher
In one paragraph

Review in Journal of biosciences, 2017. 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
0.1field-weighted citation impact, top 49% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Review
  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

4 authors at 2 institutions in 1 country.

Virginia Sedeno-MongeDepartamento de Ciencias de la Salud, Universidad Popular Autonoma del Estado de Puebla, Puebla, Mexico.
Veronica Vallejo-Ruiz
Francisca Sosa-Jurado
Gerardo Santos-Lopez
Mexican Social Security Institute · MXUniversidad Popular Autónoma del Estado de Puebla · MX

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Little is known about the mechanisms underlying hepatocellular carcinoma (HCC). Some studies have focused on the role of HCV viral proteins in hepatocyte transformation. In this work we have compiled and analysed current articles regarding the impact of polymorphisms in the HCV core gene and protein on the development of HCC. An exhaustive search for fulltext articles until November 2016 in PubMed database was performed using the MeSH keywords: 'hepatitis C', 'polymorphisms', 'core', 'hepatocellular cancer' and 'hepatocarcinogenesis'. Nineteen full-text articles published between 2000 and 2016 were considered. Different articles associate not only the HCC development with polymorphisms at residues 70 and 91 in the core protein, but more with mortality and treatment response. Also, different polymorphisms were found in core and other viral proteins related to HCC development. Eleven articles reported that HCC development is significantly associated with Gln/His70, four associated it with Leu91 and two more associated it with both markers together. Additional studies are necessary, including those in different types of populations worldwide, to validate the possibility of the usability and influence in chronically HCV-infected patients as well as to observe their interaction with other risk factors or prognosis and genetic markers of the host.

Indexed as

Genome, ViralPolymorphism, GeneticCarcinoma, HepatocellularChromosome MappingGene ExpressionHepacivirusHepatitis CHepatocytesHost-Pathogen InteractionsHumansLiverLiver NeoplasmsRisk FactorsViral Core ProteinsViral Core Proteins

Identifiers

PMID29358564
OpenAlexW2728407631

What OpenQuestion holds

Textmetadata
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.