Evidence map›Paper›PMID 25896437›Full record

ReviewCurrent gastroenterology reports2015

Management of HCV in cirrhosis-a rapidly evolving landscape.

Suraj A Sharma, Jordan J Feld

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current gastroenterology reports, 2015. 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. Review
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.

Suraj A SharmaToronto Center for Liver Disease, Sandra Rotman Centre for Global Health, University Health Network, University of Toronto, 6B-Fell Pavilion, Room 158, 399 Bathurst Street, Toronto, Ontario, M5T 2S8, Canada.
Jordan J Feld

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite the rapid progress in treatment, chronic hepatitis C virus (HCV) infection remains a growing cause of liver-related mortality globally. Patients who have been infected for decades are now presenting with advanced liver disease with the complications of cirrhosis and liver cancer. Early attempts at treatment with peginterferon and ribavirin were limited by toxicity, long treatment duration, and limited efficacy. This was especially relevant for patients with cirrhosis, where exposure to peginterferon-based therapy was relatively ineffective and led to high rates of toxicity. However, the recent development of multiple novel direct-acting antivirals (DAAs) has revolutionized the treatment of HCV. The majority of patients can now be cured with short courses of extremely well-tolerated all-oral regimens. However, the real test of these regimens comes in patients with more advanced liver disease, both in terms of safety and efficacy. Patients with cirrhosis have the greatest need for therapy and have traditionally been the most difficult to cure. The new therapies are rapidly changing this paradigm. Accumulating data suggest that high cure rates are achievable in patients with compensated cirrhosis and may even be possible in patients with signs of liver failure. This review will focus on the treatment of HCV in patients with cirrhosis, with an emphasis on the challenges that remain and strategies to deal with this important population.

Indexed as

Antiviral AgentsGenotypeHepacivirusHepatitis C, ChronicHumansInterferon-alphaLiver CirrhosisOligopeptidesProlineAntiviral AgentsInterferon-alphaN-(3-amino-1-(cyclobutylmethyl)-2,3-dioxopropyl)-3-(2-((((1,1-dimethylethyl)amino)carbonyl)amino)-3,3-dimethyl-1-oxobutyl)-6,6-dimethyl-3-azabicyclo(3.1.0)hexan-2-carboxamideOligopeptidesProlinetelaprevir

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.