Year 2017 / Volume 109 / Number 2
Letter to the Editor
Could viral load combined with indirect serum markers be an option for predicting the degree of liver fibrosis in treatment-naïve chronic hepatitis B patients?

166-167

DOI: 10.17235/reed.2016.4439/2016

Murat Afyon,

Abstract
In a recent issue of the Revista Española de Enfermedades Digestivas, we read with interest the article by Coskun et al. “The diagnostic value of a globulin/platelet model for evaluating liver fibrosis in chronic hepatitis B patients”. However, we wanted to emphasize some points about the article.
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References
1. Coskun BD, Altınkaya E, Sevinc E, et al. The diagnostic value of a globulin/platelet model for evaluating liver fibrosis in chronic hepatitis B patients. Rev Esp Enferm Dig 2015; 107: 740-744.
2. Praneenararat S, Chamroonkul N, Sripongpun P, et al. HBV DNA level could predict significant liver fibrosis in HBeAg negative chronic hepatitis B patients with biopsy indication. BMC Gastroenterol 2014; 14: 218. DOI: 10.1186/s12876-014-0218-6.
3. Ray Kim W, Berg T, Asselah T, et al. Evaluation of APRI and FIB-4 scoring systems for non-invasive assessment of hepatic fibrosis in chronic hepatitis B patients. J Hepatol 2016; 64(4): 773-780. DOI: 10.1186/j.jhep.2015.11.012.
4. Yilmaz Y, Yonal O, Kurt R, et al. Noninvasive assessment of liver fibrosis with the aspartate transaminase to platelet ratio index (APRI): Usefulness in patients with chronic liver disease: APRI in chronic liver disease. Hepat Mon 2011; 11(2): 103-106.
5. Lapalus M, Laouenan C, Cardoso AC, et al. Precore/Core promoter variants to predict significant fibrosis in both HBeAg positive and negative chronic hepatitis B. Liver Int 2015; 35(9): 2082-2089. DOI: 10.1111/liv.12787.
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Afyon M. Could viral load combined with indirect serum markers be an option for predicting the degree of liver fibrosis in treatment-naïve chronic hepatitis B patients?. 4439/2016


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Publication history

Received: 06/05/2016

Accepted: 12/06/2016

Online First: 22/12/2016

Published: 31/01/2017

Article revision time: 31 days

Article Online First time: 230 days

Article editing time: 270 days


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