Evidence map›Paper›PMID 23083820›Full record

ReviewInfectious disease clinics of North America2012

IL28B polymorphisms as a pretreatment predictor of response to HCV treatment.

Christoph T Berger, Arthur Y Kim

Open access · greenAbstract readReview
In one paragraph

Review in Infectious disease clinics of North America, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 2 pooled it
0.6field-weighted citation impact, top 32% 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

6 citing papers in PubMed, 2 syntheses or guidelines pooled it, 20 citations in OpenAlex.

  1. Direct-acting antivirals for chronic hepatitis C.The Cochrane database of systematic reviews · 2017
    Pooled it
  2. Direct-acting antivirals for chronic hepatitis C.The Cochrane database of systematic reviews · 2017
    Pooled it
  3. Article
  4. Article
  5. Article
  6. 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

2 authors at 1 institution in 2 countries.

Christoph T BergerRagon Institute of Massachusetts General Hospital, Massachusetts Institute of Technology and Harvard Medical School, Boston, MA 02129, USA.
Arthur Y Kim
Harvard University · US

Funding

The role of NK cells during acute HCV infection and antiviral therapyU19AI066345 · NIAID · MASSACHUSETTS GENERAL HOSPITAL · PI LAUER, GEORG MICHAEL · 2005 to 2014
$8.5M
Discovery and Assessment of Genetic Determinants of HCV and HIV ControlR01DA033541 · NIDA · MASSACHUSETTS GENERAL HOSPITAL · PI CHUNG, RAYMOND T, KIM, ARTHUR Y · 2011 to 2015
$3.4M
NIAID NIH HHS U19 AI066345NIDA NIH HHS R01 DA033541
6 · The paper itself

Abstract

Genome-wide association studies have identified polymorphisms located near the gene encoding IL28B, which turned out to be the best predictor of response to pegylated interferon plus ribavirin for chronic hepatitis C virus (HCV) genotype 1 infection. This association was extended to spontaneous clearance of HCV, suggesting shared mechanisms of treatment and natural control of this virus. In addition to the biologic implications for innate immunity and HCV, a variety of clinical studies have suggested possible translation to a useful genetic test for practitioners. This article reviews the discovery, biology, and potential clinical applications that have stemmed from the seminal observation that IL28B polymorphisms are a main predictor of HCV clearance.

Indexed as

Antiviral AgentsHepacivirusHepatitis CHumansInterferon LambdaInterferonsInterleukinsPharmacogeneticsTreatment OutcomeAntiviral AgentsInterferon Lambdainterferon-lambda, humanInterferonsInterleukins

Identifiers

PMID23083820
PMCPMC3730261
OpenAlexW2061843974

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.