Evidence map›Paper›PMID 24079723›Full record

ReviewVirology journal2013

Role of viral and host factors in interferon based therapy of hepatitis C virus infection.

Muhammad Imran, Sobia Manzoor, Javed Ashraf, Madiha Khalid, Muqddas Tariq, Hafiza Madeha Khaliq, Sikandar Azam

Open access · goldAbstract readReview
In one paragraph

Review in Virology journal, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 2 pooled it
3.9field-weighted citation impact, top 6% 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

11 citing papers in PubMed, 2 syntheses or guidelines pooled it, 34 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. Novel Biomarkers Associated With the Outcome of Interferon-Based Hepatitis C Virus Therapy.Cellular and molecular gastroenterology and hepatology · 2015
    Article
  7. Review
  8. Review
  9. Article
  10. Article
  11. 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

7 authors at 1 institution in 1 country.

Muhammad ImranAtta-ur-Rahman School of Applied Biosciences, National University of Sciences and Technology (NUST), 44000 Islamabad, Pakistan. lcianunique@yahoo.com.
Sobia Manzoor
Javed Ashraf
Madiha Khalid
Muqddas Tariq
Hafiza Madeha Khaliq
Sikandar Azam
National University of Sciences and Technology · PK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The current standard of care (SOC) for hepatitis C virus (HCV) infection is the combination of pegylated interferon (PEG-IFN), Ribavirin and protease inhibitor for HCV genotype 1. Nevertheless, this treatment is successful only in 70-80% of the patients. In addition, the treatment is not economical and is of immense physical burden for the subject. It has been established now, that virus-host interactions play a significant role in determining treatment outcomes. Therefore identifying biological markers that may predict the treatment response and hence treatment outcome would be useful. Both IFN and Ribavirin mainly act by modulating the immune system of the patient. Therefore, the treatment response is influenced by genetic variations of the human as well as the HCV genome. The goal of this review article is to summarize the impact of recent scientific advances in this area regarding the understanding of human and HCV genetic variations and their effect on treatment outcomes. Google scholar and PubMed have been used for literature research. Among the host factors, the most prominent associations are polymorphisms within the region of the interleukin 28B (IL28B) gene, but variations in other cytokine genes have also been linked with the treatment outcome. Among the viral factors, HCV genotypes are noteworthy. Moreover, for sustained virological responses (SVR), variations in core, p7, non-structural 2 (NS2), NS3 and NS5A genes are also important. However, all considered single nucleotide polymorphisms (SNPs) of IL28B and viral genotypes are the most important predictors for interferon based therapy of HCV infection.

Indexed as

Genetic MarkersAntiviral AgentsGenetic VariationGenotypeHepacivirusHepatitis C, ChronicHumansInterferonsPrognosisRibavirinTreatment OutcomeAntiviral AgentsGenetic MarkersInterferonsRibavirin

Identifiers

PMID24079723
PMCPMC3849893
OpenAlexW1966043531

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.