Cargando…
Management algorithm for genotype 1 hepatitis C virus
Hepatitis C virus (HCV) infection is the most common etiology of chronic liver disease in Western countries. Morbidity and mortality due to HCV-related end-stage liver disease are increasing, just as novel therapeutics arrive with the promise of better cure rates that prevent these complications. Ho...
Autor principal: | |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Faculty of 1000 Ltd
2013
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3702221/ https://www.ncbi.nlm.nih.gov/pubmed/23864931 http://dx.doi.org/10.12703/P5-24 |
_version_ | 1782275770087899136 |
---|---|
author | Kim, Arthur Y. |
author_facet | Kim, Arthur Y. |
author_sort | Kim, Arthur Y. |
collection | PubMed |
description | Hepatitis C virus (HCV) infection is the most common etiology of chronic liver disease in Western countries. Morbidity and mortality due to HCV-related end-stage liver disease are increasing, just as novel therapeutics arrive with the promise of better cure rates that prevent these complications. However, substantial barriers to successful application of these novel treatments remain, including the lack of providers with sufficient knowledge to address this epidemic. To address these deficits, this article aims to provide a general framework with algorithms to guide initial management decisions for HCV genotype 1 infection, the most commonly found genotype, based on therapies approved as of 2013. |
format | Online Article Text |
id | pubmed-3702221 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Faculty of 1000 Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-37022212013-07-17 Management algorithm for genotype 1 hepatitis C virus Kim, Arthur Y. F1000Prime Rep Review Article Hepatitis C virus (HCV) infection is the most common etiology of chronic liver disease in Western countries. Morbidity and mortality due to HCV-related end-stage liver disease are increasing, just as novel therapeutics arrive with the promise of better cure rates that prevent these complications. However, substantial barriers to successful application of these novel treatments remain, including the lack of providers with sufficient knowledge to address this epidemic. To address these deficits, this article aims to provide a general framework with algorithms to guide initial management decisions for HCV genotype 1 infection, the most commonly found genotype, based on therapies approved as of 2013. Faculty of 1000 Ltd 2013-07-01 /pmc/articles/PMC3702221/ /pubmed/23864931 http://dx.doi.org/10.12703/P5-24 Text en © 2013 Faculty of 1000 Ltd http://creativecommons.org/licenses/by-nc/3.0/legalcode This is an open-access article distributed under the terms of the Creative Commons Attribution-Non Commercial License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. You may not use this work for commercial purposes |
spellingShingle | Review Article Kim, Arthur Y. Management algorithm for genotype 1 hepatitis C virus |
title | Management algorithm for genotype 1 hepatitis C virus |
title_full | Management algorithm for genotype 1 hepatitis C virus |
title_fullStr | Management algorithm for genotype 1 hepatitis C virus |
title_full_unstemmed | Management algorithm for genotype 1 hepatitis C virus |
title_short | Management algorithm for genotype 1 hepatitis C virus |
title_sort | management algorithm for genotype 1 hepatitis c virus |
topic | Review Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3702221/ https://www.ncbi.nlm.nih.gov/pubmed/23864931 http://dx.doi.org/10.12703/P5-24 |
work_keys_str_mv | AT kimarthury managementalgorithmforgenotype1hepatitiscvirus |