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Peter Jarcuska

Researcher at University of Pavol Jozef Šafárik

Publications -  89
Citations -  4655

Peter Jarcuska is an academic researcher from University of Pavol Jozef Šafárik. The author has contributed to research in topics: Population & Cirrhosis. The author has an hindex of 18, co-authored 78 publications receiving 3186 citations. Previous affiliations of Peter Jarcuska include Louis Pasteur University.

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Global prevalence and genotype distribution of hepatitis C virus infection in 2015: a modelling study

Sarah Blach, +221 more
TL;DR: The global estimate of viraemic HCV infections is lower than previous estimates, largely due to more recent prevalence estimates in Africa, and increased mortality due to liver-related causes and an ageing population may have contributed to a reduction in infections.
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Global prevalence, treatment, and prevention of hepatitis B virus infection in 2016: a modelling study

Devin Razavi-Shearer, +195 more
TL;DR: The estimate of HBV prevalence in 2016 differs from previous studies, potentially because it took into account the effect of infant prophylaxis and early childhood vaccination, as well as changing prevalence over time.
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The PREDICT study uncovers three clinical courses of acutely decompensated cirrhosis that have distinct pathophysiology.

Jonel Trebicka, +126 more
TL;DR: Acute decompensation without ACLF is a heterogeneous condition with three different clinical courses and two major pathophysiological mechanisms: systemic inflammation and portal hypertension.
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Hepatitis C virus prevalence and level of intervention required to achieve the WHO targets for elimination in the European Union by 2030: a modelling study

Homie Razavi, +114 more
TL;DR: The EU is uniquely poised to eliminate HCV; however, expansion of screening programmes is essential to increase treatment to achieve the WHO targets, and a united effort, grounded in sound epidemiological evidence, will also be necessary.
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Global change in hepatitis C virus prevalence and cascade of care between 2015 and 2020: a modelling study.

Sarah Blach, +257 more
TL;DR: In this article , a literature review, Delphi process, and mathematical modelling were used to estimate hepatitis C virus (HCV) prevalence (viraemic infection, defined as HCV RNA-positive cases) and the cascade of care among people of all ages (age ≥ 0 years from birth) for the period between Jan 1, 2015 and Dec 31, 2030.