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Clinical utility of pharmacogenomics in the management of hepatitis C

Overview of attention for article published in Pharmacogenomics and Personalized Medicine, October 2014
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (76th percentile)

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1 blog
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2 Facebook pages

Citations

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mendeley
39 Mendeley
Title
Clinical utility of pharmacogenomics in the management of hepatitis C
Published in
Pharmacogenomics and Personalized Medicine, October 2014
DOI 10.2147/pgpm.s52624
Pubmed ID
Authors

Julieta Trinks, María Laura Hulaniuk, María Ana Redal, Diego Flichman

Abstract

Hepatitis C virus (HCV) was identified for the first time more than 20 years ago. Since then, several studies have highlighted the complicated aspects of this viral infection in relation to its worldwide prevalence, its clinical presentation, and its therapeutic response. Recently, two landmark scientific breakthroughs have moved us closer to the successful eradication of chronic HCV infection. First, response rates in treatment-naïve patients and in prior non-responders to pegylated-interferon-α and ribavirin therapy are increasing as a direct consequence of the development of direct-acting antiviral drugs. Secondly, the discovery of single-nucleotide polymorphisms near the interleukin 28B gene significantly related to spontaneous and treatment-induced HCV clearance represents a milestone in the HCV therapeutic landscape. The implementation of this pharmacogenomics finding as a routine test for HCV-infected patients has enhanced our understanding of viral pathogenesis, has encouraged the design of ground-breaking antiviral treatment regimens, and has become useful for pretreatment decision making. Nowadays, interleukin 28B genotyping is considered to be a key diagnostic tool for the management of HCV-infected patients and will maintain its significance for new combination treatment schemes using direct-acting antiviral agents and even in interferon-free regimens. Such pharmacogenomics insights represent a challenge to clinicians, researchers, and health administrators to transform this information into knowledge with the aim of elaborating safer and more effective therapeutic strategies specifically designed for each patient. In conclusion, the individualization of treatment regimens for patients with hepatitis C, that may lead to a universal cure in future years, is becoming a reality due to recent developments in biomarker and genomic medicine. In light of these advances, we review the scientific evidence and clinical implications of recent findings related to host genetic factors in the management of HCV infection.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 1 3%
Unknown 38 97%

Demographic breakdown

Readers by professional status Count As %
Student > Master 10 26%
Researcher 6 15%
Student > Doctoral Student 5 13%
Student > Bachelor 4 10%
Professor 2 5%
Other 7 18%
Unknown 5 13%
Readers by discipline Count As %
Medicine and Dentistry 18 46%
Pharmacology, Toxicology and Pharmaceutical Science 4 10%
Biochemistry, Genetics and Molecular Biology 4 10%
Agricultural and Biological Sciences 2 5%
Nursing and Health Professions 1 3%
Other 5 13%
Unknown 5 13%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 30 January 2015.
All research outputs
#6,495,014
of 25,748,735 outputs
Outputs from Pharmacogenomics and Personalized Medicine
#1
of 1 outputs
Outputs of similar age
#63,406
of 266,458 outputs
Outputs of similar age from Pharmacogenomics and Personalized Medicine
#1
of 1 outputs
Altmetric has tracked 25,748,735 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 1 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one scored the same or higher as 0 of them.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 266,458 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 76% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them