Evidence map›Paper›PMID 23419289›Full record

ReviewNature reviews. Gastroenterology & hepatology2013

Future therapies for chronic hepatitis C.

Noura M Dabbouseh, Donald M Jensen

Erratum issuedAbstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Gastroenterology & hepatology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. Trial
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  14. HCV transmission in industrialized countries and resource-constrained areas.Nature reviews. Gastroenterology & hepatology · 2014
    Review
  15. Chemopreventive strategies in hepatocellular carcinoma.Nature reviews. Gastroenterology & hepatology · 2014
    Review
  16. Review
  17. Emerging concepts in immunity to hepatitis C virus infection.The Journal of clinical investigation · 2013
    Review
  18. Review
4 · The record

Corrections and comments

  • Erratum issued
5 · Who and what money

Authors and funding

2 authors.

Noura M DabbousehDepartment of Medicine, Section of Gastroenterology, Hepatology and Nutrition, University of Chicago Medical Center, 5841 South Maryland Avenue, MC7120, Chicago, IL 60637, USA.
Donald M Jensen

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Therapy for hepatitis C has been fairly stagnant for the past decade, but the past few years have seen major progress and evolution, beginning with the approval of two HCV protease inhibitors in 2011. In spite of considerable improvements in response rates with these agents, a need for additional agents with improved potency and tolerability remains. Toward this goal and over the course of just a few months, the HCV therapy pipeline has already become crowded with direct-acting antivirals, host-targeted agents and unique interferons, all of which are positioned to be part of the next wave of therapeutic options. The ultimate goal of this push for new agents is to achieve a safe and straight forward yet highly effective therapy for hepatitis C that is widely embraced and readily available. Particularly among the 'baby boomer' population, it is predicted that over the next few years, more patients with currently quiescent infections will be newly diagnosed, and those currently diagnosed will be at increased risk of long-term complications of infection, and thus in need of treatment. A simple and safe treatment paradigm will become a necessity. This Review chronicles the latest developments in hepatitis C therapy and the potential effect these new treatments could have on delivery of care to patients infected with HCV.

Indexed as

Antiviral AgentsHepacivirusHepatitis C, ChronicHumansTreatment OutcomeAntiviral Agents

Identifiers

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.