Evidence map›Paper›PMID 25943281›Full record

ReviewDrugs2015

Treatment of hepatitis C in patients with cirrhosis: remaining challenges for direct-acting antiviral therapy.

Avik Majumdar, Matthew T Kitson, Stuart K Roberts

Abstract readReview
PubMed Publisher
In one paragraph

Review in Drugs, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.4field-weighted citation impact, top 19% 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, 14 citations in OpenAlex.

  1. Proteomic study of advanced cirrhosis based on HCV to reveal potential biomarkers.Gastroenterology and hepatology from bed to bench · 2020
    Article
  2. Review
  3. Article
  4. Review
  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

3 authors at 1 institution in 1 country.

Avik MajumdarDepartment of Gastroenterology, Alfred Hospital, Commercial Rd, Melbourne, VIC, 3004, Australia.
Matthew T Kitson
Stuart K Roberts
The Alfred Hospital · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chronic hepatitis C virus (HCV) infection is a major global health concern, resulting in significant morbidity and mortality. Treatment using interferon-based therapy in patients with HCV-related cirrhosis has been problematic due to toxicity and poor tolerability. Furthermore, interferon therapy is contraindicated in those with advanced cirrhosis or clinical decompensation, who are arguably the group most in need of viral eradication. The arrival of the direct-acting antiviral (DAA) era has resulted in the development of well-tolerated and highly effective interferon-free drug regimens that promise to dramatically change the therapeutic landscape for those with advanced HCV-related liver disease, including patients with clinical decompensation or pre-liver transplantation. Many successful DAA combinations have emerged; however, a number of challenges remain including the establishment of the optimal treatment duration, the ideal combination of drug classes and determining the role of ribavirin. Moreover, the identification of treatment-experienced patients with genotype 3 HCV cirrhosis as a difficult-to-treat subgroup is a significant impediment to overcome, as are those who have failed prior DAA therapy. Despite these barriers, the ongoing prolific development of safe and effective DAA combinations indicates the future is optimistic for the ultimate goal of HCV eradication.

Indexed as

Antiviral AgentsDrug Therapy, CombinationGenotypeHepacivirusHepatitis C, ChronicHumansInterferonsLiver CirrhosisAntiviral AgentsInterferons

Identifiers

PMID25943281
OpenAlexW293145219

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.