Evidence map›Paper›PMID 22508161›Full record

ReviewNature reviews. Gastroenterology & hepatology2012

Virus-drug interactions--molecular insight into immunosuppression and HCV.

Qiuwei Pan, Hugo W Tilanus, Herold J Metselaar, Harry L A Janssen, Luc J W van der Laan

Abstract readReview
In one paragraph

Review in Nature reviews. Gastroenterology & hepatology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Molecular mechanisms implicated in SARS-CoV-2 liver tropism.World journal of gastroenterology · 2022
    Review
  4. Review
  5. Article
  6. Article
  7. Article
  8. Telaprevir/boceprevir era: from bench to bed and back.World journal of gastroenterology · 2012
    Review
  9. New targets for treatment against HCV infection.Best practice & research. Clinical gastroenterology · 2012
    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

5 authors.

Qiuwei PanDepartment of Gastroenterology and Hepatology, Erasmus MC-University Medical Center, 3015 CE Rotterdam, The Netherlands.
Hugo W Tilanus
Herold J Metselaar
Harry L A Janssen
Luc J W van der Laan

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Liver transplantation is an effective treatment for end-stage liver disease that is attributable to chronic HCV infection. However, long-term outcomes are compromised by universal virological recurrence in the graft. Reinfection that occurs after transplantation has increased resistance to current interferon-based antiviral therapy and often leads to accelerated development of cirrhosis. Important risk factors for severe HCV recurrence are linked to immunosuppression. Owing to the lack of good randomized, controlled trials, the optimal choice of immunosuppressants is still debated. By contrast, much progress has been made in the understanding of HCV biology and the antiviral action of interferons. These new insights have greatly expanded our knowledge of the molecular interplay between HCV and immunosuppressive drugs. In this article, we explore the effect of different immunosuppressants on the complex cellular events involved in HCV infection and interferon signalling. Potential implications for clinical practice and future drug development are discussed.

Indexed as

AnimalsAntiviral AgentsDisease Models, AnimalDrug InteractionsGraft RejectionHepatitis C, ChronicHumansImmunosuppressive AgentsInterferonsLiver TransplantationSecondary PreventionAntiviral AgentsImmunosuppressive AgentsInterferons

Identifiers

PMID22508161
PMCPMC7097508

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.