Evidence map›Paper›PMID 23859951›Full record

ReviewPublic health genomics2013

Viral hepatitis C gets personal--the value of human genomics to public health.

L Zhang, M Gwinn, D J Hu

Open access · bronzeAbstract readReview
In one paragraph

Review in Public health genomics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.1field-weighted citation impact, top 23% 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

4 citing papers in PubMed, 9 citations in OpenAlex.

  1. Review
  2. Review
  3. Perceptions of genetic testing and genomic medicine among drug users.The International journal on drug policy · 2015
    Article
  4. 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

3 authors at 2 institutions in 1 country.

L ZhangDivision of Viral Hepatitis, National Center for HIV/AIDS, Viral Hepatitis, STD, and TB Prevention, Centers for Disease Control and Prevention, Atlanta, Ga 30333, USA.
M Gwinn
D J Hu
National Center for HIV/AIDS Viral Hepatitis STD and TB Prevention · USMcKing Consulting (United States) · US

Funding

Intramural CDC HHS CC999999
6 · The paper itself

Abstract

About 180 million people worldwide are chronically infected with hepatitis C virus (HCV), with 3-4 million newly infected each year. Only 15-25% of acute HCV infections clear spontaneously, and the remainder persists as chronic HCV infection. More than 350,000 people die every year from hepatitis C-related liver failure and cancer. There is currently no vaccine and the standard-of-care therapies--peg-interferon alpha (pegIFN) plus ribavirin (RBV)--are expensive and have serious side effects. Also, they may be effective in only 40-50% of patients infected with HCV genotype 1, the most common HCV genotype in the US. Interleukin 28B (IL28B) genotype was recently and convincingly associated with response to pegIFN and RBV therapy. It has emerged as a robust pretreatment predictor of sustained virological response (SVR, i.e. virologic clearance) to pegIFN and RBV as well as to new triple therapy regimens that include a direct-acting antiviral agent with pegIFN and RBV and increase SVR rates as much as 75% in patients infected with HCV genotype 1. Testing for IL28B genotype may contribute to clinical decision-making and could inform clinical guidelines and public health policies.

Indexed as

GenomicsPharmacogeneticsAntiviral AgentsHepacivirusHepatitis C, ChronicHumansInterferon-alphaInterferon LambdaInterferonsInterleukinsPublic HealthRibavirinAntiviral AgentsInterferon-alphaInterferon Lambdainterferon-lambda, humanInterferonsInterleukinsRibavirin

Identifiers

PMID23859951
PMCPMC6676483
OpenAlexW2065755211

What OpenQuestion holds

Textmetadata
LicenceTDM
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.