Literature DB >> 35978662

Efficacy and safety of sofosbuvir/velpatasvir with or without ribavirin in hepatitis C genotype 3 compensated cirrhosis: A meta-analysis.

Jing Hong Loo1, Wen Xin Flora Xu1, Jun Teck Low1, Wei Xuan Tay1, Le Shaun Ang1, Yew Chong Tam2, Prem Harichander Thurairajah1, Rahul Kumar3, Yu Jun Wong3.   

Abstract

BACKGROUND: Hepatitis C virus (HCV) is a leading cause of liver cirrhosis and hepatocellular carcinoma globally. Sofosbuvir/velpatasvir (SOF/VEL) is an effective pan-genotypic direct-acting antiviral combination for treatment of chronic HCV infection. While the addition of ribavirin (RBV) to SOF/VEL improved sustained virological response (SVR12) in genotype 3 (GT3) decompensated cirrhosis patients, the benefits of RBV in GT3 compensated cirrhosis patients receiving SOF/VEL remains unclear. AIM: To evaluate the efficacy and safety of SOF/VEL, with or without RBV in GT3 compensated cirrhosis patients.
METHODS: We searched four electronic databases (PubMed/Medline, Embase, Cochrane Library and Web of Science) from inception up to June 2021 using both free text and MeSH terms. There was no restriction on language, geography, publication dates and publication status (full text or abstracts). All GT3 compensated cirrhosis patients treated with 12 wk of SOF/VEL, with or without RBV, were included, regardless of age, gender or prior treatment experience. The primary outcome was sustained virological response 12-wk post-treatment (SVR12). The secondary outcome was treatment-related adverse events, as defined by symptomatic anemia requiring transfusion or a drop in hemoglobin beyond 2 g/dL. The pooled relative risk (RR), 95%CI and heterogeneity (I 2) were estimated using Review Manager version 5.3.
RESULTS: From 1752 citations, a total of seven studies (2 randomized controlled trials, 5 cohort studies) with 1088 subjects were identified. The SVR12 was similar in GT3 compensated cirrhosis patients, regardless of the use of RBV, for both the intention-to-treat RR 1.03, 95%CI: 0.99-1.07; I 2 = 0%) and the per-protocol analysis (RR: 1.03, 95%CI: 0.99-1.07; I 2 = 48%). The overall pooled rate of treatment-related adverse events was 7.2%. Addition of RBV increased the pooled risk of treatment-related adverse events in GT3 compensated cirrhosis patients receiving SOF/VEL (RR: 4.20, 95%CI: 1.29-13.68; I 2 = 0%). Subgroup analysis showed that RBV was associated with a higher SVR12 in GT3 compensated cirrhosis patients with baseline resistance-associated substitutions. However, addition of RBV did not significantly increase the SVR12 among treatment-experienced GT3 compensated cirrhosis patients.
CONCLUSION: Ribavirin was not associated with higher SVR12 in GT3 compensated cirrhosis patients receiving SOF/VEL. Our findings suggest a limited role for RBV as routine add-on therapy to SOF/VEL in GT3 compensated cirrhosis patients. ©The Author(s) 2022. Published by Baishideng Publishing Group Inc. All rights reserved.

Entities:  

Keywords:  Cirrhosis; Direct-acting antiviral; Hepatitis C; Sofosbuvir/velpatasvir

Year:  2022        PMID: 35978662      PMCID: PMC9258247          DOI: 10.4254/wjh.v14.i6.1248

Source DB:  PubMed          Journal:  World J Hepatol


Core Tip: Ribavirin (RBV) as routine add-on therapy was not associated with higher sustained virological response in genotype 3 (GT3) compensated cirrhosis patients receiving sofosbuvir/velpatasvir (SOF/VEL), except in the subgroup of patients with baseline resistance-associated substitution mutation. As RBV is associated with a higher risk of treatment-related adverse event, RBV as routine add-on therapy to SOF/VEL should be reconsidered among compensated GT3 cirrhosis patients.

INTRODUCTION

Hepatitis C virus (HCV) is an important cause of liver cirrhosis and hepatocellular carcinoma, affecting 71 million people globally[1]. Genotype 3 (GT3) is the second most common HCV genotype worldwide and is responsible for up to 30% of global HCV infections, especially in South and Central Asia[2,3]. GT3 HCV is associated with a higher incidence of liver steatosis[4], fibrosis progression[5] and liver cirrhosis[6]. GT3 HCV infection was also associated with poorer prognosis with an 80% increased risk of hepatocellular carcinoma[6] and 17% increased risk of all-cause mortality compared to other HCV genotypes[7]. The introduction of direct-acting antiviral (DAA) therapy has significantly improved the treatment success for HCV infection, thus providing a simplified approach for global HCV elimination. The improvement in treatment outcome was observed since the first generation of DAA, albeit to a lesser degree among GT3 HCV patients with cirrhosis or prior treatment experience[8,9]. Because of the poorer treatment response among GT3 HCV patients treated with DAA, GT3 HCV infection was considered the difficult-to-treat population. Currently, there are two approved pan-genotypic DAA regimens available, namely sofosbuvir and velpatasvir (SOF/VEL), as well as glecaprevir and pibrentasvir. While both regimens are highly efficacious with sustained virological response 12-wk post-treatment (SVR12) rates beyond 95% in most scenarios, only SOF/VEL is approved to treat decompensated HCV cirrhosis patients[10,11]. The potential of ribavirin (RBV) as add-on therapy to SOF/VEL to improve SVR12 in HCV patients remains an area of interest. Ribavirin, a guanosine nucleoside analog, has been used in HCV treatment regimens since the pre-DAA era. It is postulated that RBV interferes with viral replication by direct and indirect means. RBV directly inhibits viral mRNA polymerase by binding to the nucleotide binding site of the enzyme and indirectly, by inducing error prone mutagenesis and promoting T-helper-type-1-mediated immune responses[12]. The addition of RBV to a SOF/VEL regimen improves SVR rates where there is pre-existing baseline NS5A Y93H resistance-associated substitutions (RAS). The ASTRAL-3 study reported an SVR of 97% vs 84% in patients with or without baseline RAS[13]. Indeed, American Associated for the Study of Liver Disease (AASLD) guidelines recommend adding RBV for compensated GT3 cirrhosis with baseline RAS or decompensated HCV cirrhosis, regardless of genotype[14]. While the use of RBV significantly increases the SVR12 in decompensated cirrhosis receiving SOF/VEL[15], the benefit of RBV remains controversial among GT3 compensated cirrhosis patients. A Spanish randomized controlled trial had demonstrated a comparable SVR12 among GT3 compensated cirrhosis patients treated with SOF/VEL, regardless of the use of RBV[16]. In routine clinical practice, the application of pretreatment RAS testing for patients with GT3 compensated cirrhosis is often limited by their cost and availability. Moreover, such a strategy should be balanced with the need for closer monitoring for adverse events from RBV such as anemia[17]. In order to address these gaps, we performed a systematic review and meta-analysis to compare the efficacy and safety of RBV in GT3 compensated cirrhosis patients treated with SOF/VEL.

MATERIALS AND METHODS

Eligibility and search strategy

We followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guideline for data extraction and reporting[18]. All potential literature was identified from a comprehensive search of four electronic databases, namely PubMed/Medline, Embase, Cochrane and Web of Science, from initiation up to 1 June 2021, with the help of a medical librarian. There was no restriction on language, geography, publication dates and publication status (full text and abstract). The search keywords included a combination of “sofosbuvir”, “velpatasvir”, “ribavirin”, and "hepatitis C" using both the free text and MeSH terms as detailed in Supplementary Table 1. Additionally, a relevant search by Reference Citation Analysis (https://www.referencecitationanalysis.com) was conducted. All GT3 compensated cirrhosis patients treated with 12 wk of SOF/VEL, with or without RBV, were included, regardless of age, gender or prior treatment experience. References of all included studies were manually searched for additional studies. We also included grey literature from abstracts published in major conferences from 2015 to 2020.

Study selection

In this meta-analysis, we included all studies that met the following inclusion criteria: (1) Studies that evaluated patients with hepatitis C GT3 compensated cirrhosis; (2) studies that evaluated the efficacy or safety of SOF/VEL, with or without RBV; and (3) reported SVR12, and/or treatment-related adverse events as study outcomes. We excluded case reports, case series, review articles, editorials, guidelines, and animal or pediatric studies. Two authors independently performed the initial screening of titles and abstracts during the primary search. The full texts of all relevant studies were extracted and reviewed. Any discrepancy in the article selection was resolved by consensus and discussion with a third coauthor.

Data extraction

The data from each study were independently extracted by two authors from the included studies using a predefined standardized form. The data extracted included study design, sample size, demographic of study participants, GT3 subtypes, coinfection with human immunodeficiency virus (HIV), baseline RAS, history of prior treatment, SVR12, and treatment-related adverse events. Treatment-related adverse events were defined as symptomatic anemia requiring transfusion or a drop in hemoglobin > 2 g/dL due to RBV. Corresponding authors were contacted in the event of any missing information.

Data synthesis and analysis

We used Review Manager Software version 5.3 (The Nordic Cochrane Centre, The Cochrane Collaboration, 2014) to perform our meta-analysis. The effect measures were presented as relative risk ratio (RR) and their respective 95%CI. The meta-analysis was analyzed using the random-effects model as the a priori model. P < 0.05 was considered to be statistically significant. The statistical heterogeneity was evaluated using Cochran’s Q test and I2 statistics[19]. We defined substantial heterogeneity across the study when P was < 0.10 in the Cochran Q test and I2 > 50%. Publication bias of the primary outcome was assessed based on funnel plot symmetry. Prespecified subgroup analyses were performed based on study design [randomized controlled trial (RCT) vs non-RCT] and publication status (full text vs abstracts). Because non-RCT and abstracts are more susceptible to selection and recall bias, we also performed sensitivity analyses to estimate the effect size by the serial exclusion of individual studies and using a fixed-effect model to assess the reliability of our findings.

Risk of bias assessment

We used the Cochrane Risk of Bias 2.0 tool to assess randomized studies based on sequence generation, allocation concealment, performance bias, detection bias and reporting bias[20]. The Newcastle–Ottawa Scale was used to assess cohort studies based on selection, comparability and exposure[21]. Based on a total score ≥ 7, 4-6 or ≤ 3, each cohort study was classified as low, moderate or high risk of bias, respectively. Two authors independently assessed the risk of bias of all included studies. All discrepancy in risk of bias assessment was resolved by consensus with a third coauthor.

RESULTS

Search results and population characteristics

A total of 1752 citations were identified using our search strategy (Supplementary Figure 1). After removing duplicates and the title screen, we included a total of 69 studies for full-text review. Sixty-two studies were excluded for the following reasons: decompensated cirrhosis as study population (n = 6); intervention did not involve SOF/VEL and RBV (n = 42); and no comparison of outcomes by genotype (n = 14). Finally, seven studies fitted our inclusion criteria, as shown in the PRISMA flowchart (Supplementary Figure 1).

Characteristics and quality of studies

Seven studies, including 1,088 subjects (506 in the SOF/VEL with RBV group and 582 in the SOF/VEL without RBV group), were included in the final analysis. Five studies were published as full manuscripts[16,22-25], and two were published as abstracts[26,27]. The patient characteristics of all included studies are summarized in Table 1. The proportion of patients with GT3a and GT3b subtype was 99.5% and 0.5%, respectively[15]. The pooled rate of HIV coinfection was 13.0% (35/269)[16,23]. Overall, the proportion of subjects with baseline NS5A RASs mutation and prior treatment history was 6.4% (17/264) and 39.6% (127/321), respectively. The proportion of patients with baseline RAS mutation and prior treatment were comparable between the intervention and control groups[16,23]. Four studies had a low risk of bias (Supplementary Figure 2 and Supplementary Table 2). Three studies have a moderate risk of bias due to concerns over the severity of liver disease between intervention and control groups[24,26,27].
Table 1

Baseline characteristics of included studies

Ref.
Study design
Sample size (n)
Age
Subtypes (3A/3B), (%)
Co-infection with HIV (%)
Baseline NS5A RAS (%)
Prior treatment (%)
SVR12 ITT (%)
SVR12 PP (%)
Treatment-related adverse event (%)
Pianko et al[22], 2015RCT52I: 54.0 (44-65); C: 56 (45-68)NR0NRI: 100.0; C: 100.0I: 96.2; C: 88.5I: 96.2; C: 88.5NR
Esteban et al[16], 2018RCT204I: 51 ± 7.6; C: 51 ± 7.3I: 100.0/0.0; C: 99.0/1.0I: 15.5; C: 13.9I: 21.8; C: 19.4I: 27.2; C: 26.7I: 96.1; C: 91.1I: 96.1; C: 92.0I: 4.9; C: 1.0
von Felden et al[23], 2018Cohort study65NRNRI: 2.9; C: 13.3I: 11.4; C: 0.0I: 37.1; C: 23.3I: 100.0; C: 96.7NRNR
Drysdale et al[26], 2019Cohort study414NRNRNRNRNRNRI: 98.0; C: 91.7NR
Pasulo et al[27], 2019Cohort study130NRNRNRNRNRNRI: 93.9; C: 98.4NR
Hlaing et al[24], 2019Cohort study60NRNRNRNRNRNRI: 100.0; C: 96.0I: 31.4; C: 8.0
Wong et al[30], 2020Cohort study163NRNRNRNRNRI: 97.8; C: 97.5I: 97.8; C: 97.5NR

HIV: Human immunodeficiency virus; NS5A: Non-structural protein 5A; RAS: Resistance-associated substitution; SVR12: Sustained virological response 12 wk post treatment; ITT: Intention-to-treat; PP: Per-protocol; RCT: Randomized controlled trial; I: Intervention (sofosbuvir/velpatasvir + ribavirin), C: Control (sofosbuvir/velpatasvir), NR: Not reported.

Baseline characteristics of included studies HIV: Human immunodeficiency virus; NS5A: Non-structural protein 5A; RAS: Resistance-associated substitution; SVR12: Sustained virological response 12 wk post treatment; ITT: Intention-to-treat; PP: Per-protocol; RCT: Randomized controlled trial; I: Intervention (sofosbuvir/velpatasvir + ribavirin), C: Control (sofosbuvir/velpatasvir), NR: Not reported.

SVR12

All seven studies (1088 subjects) reported SVR12 in GT3 compensated cirrhosis patients treated with SOF/VEL. The overall pooled rate of SVR12 based on intention-to-treat (ITT) and per-protocol (PP) analysis was 95.5% (462/484) and 95.4% (974/1021), respectively. The SVR12 was similar regardless of the use of RBV in GT3 compensated cirrhosis based on ITT (RR: 1.03, 95%CI: 0.99-1.07; I2 = 0%) (Figure 1) and PP (RR: 1.03, 95%CI: 0.99-1.07; I2 = 48%) analysis (Figure 2). The SVR12 remained comparable when subgroup analysis was performed based on study design, with less heterogeneity observed among RCTs (RR: 1.06, 95%CI: 1.00-1.13; I2 = 0%) (Table 2).
Figure 1

Sustained virological response by intention-to-treat analysis from sofosbuvir/velpatasvir with or without ribavirin. SOF/VEL: Sofosbuvir/velpatasvir; RBV: Ribavirin.

Figure 2

Sustained virological response by per-protocol analysis from sofosbuvir/velpatasvir with or without ribavirin. SOF/VEL: Sofosbuvir/velpatasvir; RBV: Ribavirin.

Table 2

Subgroup analysis

Outcome
Subgroup

No. of studies
Effect size (RR with 95%CI)
I 2
SVR12 (ITT analysis)Overall41.03 (0.99-1.07)0
Study designRCT21.06 (0.99-1.13)0
Non-RCT21.01 (0.97-1.06)0
Effect estimatesFixed model41.04 (1.00-1.08)0
Odd’s ratio42.32 (0.91-5.89)0
SVR12 (PP analysis)Overall61.03 (0.99-1.07)48
Study designRCT21.06 (1.00-1.13)0
Non-RCT41.02 (0.97-1.07)65
Publication typeFull-text41.00 (0.96-1.04)0
Abstract20.99 (0.88-1.10)86
Effect estimatesFixed model61.04 (1.01-1.07)48
Odd’s ratio62.36 (1.07-5.19)14

SVR12: Sustained virological response 12 wk post treatment; ITT: Intention-to-treat; PP: Per-protocol; RCT: Randomized controlled trial.

Sustained virological response by intention-to-treat analysis from sofosbuvir/velpatasvir with or without ribavirin. SOF/VEL: Sofosbuvir/velpatasvir; RBV: Ribavirin. Sustained virological response by per-protocol analysis from sofosbuvir/velpatasvir with or without ribavirin. SOF/VEL: Sofosbuvir/velpatasvir; RBV: Ribavirin. Subgroup analysis SVR12: Sustained virological response 12 wk post treatment; ITT: Intention-to-treat; PP: Per-protocol; RCT: Randomized controlled trial.

Treatment-related adverse events

The overall pooled rate of treatment-related adverse events was 7.2% (95%CI: 4.4-11.0)[16,24]. Treatment with SOF/VEL plus RBV increases the pooled risk of treatment-related adverse events compared to SOV/VEL without RBV (RR: 4.20, 95%CI: 1.29-13.68; I2 = 0%) (Figure 3).
Figure 3

Severe adverse events from sofosbuvir/velpatasvir with or without ribavirin. SOF/VEL: Sofosbuvir/velpatasvir; RBV: Ribavirin.

Severe adverse events from sofosbuvir/velpatasvir with or without ribavirin. SOF/VEL: Sofosbuvir/velpatasvir; RBV: Ribavirin.

Subgroup analysis

Treatment-experienced: The overall SVR12 among treatment-experienced GT3 compensated cirrhosis patients was 96.4%[16]. The use of RBV did not result in a higher SVR12 among treatment-experienced GT3 compensated cirrhosis patients (96% vs 96%). Baseline RAS mutation: Baseline RAS testing was performed in 17.0% of subjects, from two studies[16,22]. Among those with baseline RAS mutation, the addition of RBV was associated with a higher SVR12 in patients treated with SOF/VEL (96% vs 87%, P = 0.12).

Validation of meta-analysis results

We performed sensitivity analysis to assess whether an individual study had a dominant effect on the overall pooled results. No individual study with a dominant effect was detected after serial exclusion of individual studies. Our findings remained consistent when analysis was performed using a fixed-effect model and OR as the effect measure (Table 2). Based on I2 analysis for heterogeneity, significant statistical heterogeneity was noted with the analysis for SVR12 for PP cohorts, which was reduced when only RCTs were considered. The funnel plot did not reveal significant publication bias for our primary outcome (Supplementary Figure 3).

DISCUSSION

GT3 HCV cirrhosis is considered the last frontier of HCV microelimination in the era of DAA use. Not only is GT3 the second most common genotype globally, affecting 45 million HCV patients worldwide[28], it has also been associated with significantly poorer outcomes, including higher risk of steatosis, faster progression to cirrhosis, and accelerated progression to hepatocellular carcinoma[29]. The benefit of RBV among GT3 compensated cirrhosis receiving SOF/VEL remains controversial. While the European Association for the Study of the Liver guidelines recommend routine RBV use, the AASLD guidelines recommend RBV only when baseline RAS mutation is present. In this meta-analysis, we found that RBV has a limited role as a routine add-on therapy in GT3 compensated cirrhosis treated with SOF/VEL. The overall SVR12 was similar, regardless of the use of RBV. This finding remained robust when subgroup analysis was performed based on study design and prior treatment experience. In terms of safety, the addition of RBV increased the pooled risk of treatment-related adverse events, defined as symptomatic anemia requiring transfusion or a drop in hemoglobin > 2 g/dL. Five studies reported severe adverse events, defined as the need for hospitalization, intensive care unit, permanent disability, death and treatment cessation[16,22-25]. Overall, treatment-related severe adverse events were rare (0.8%) and were comparable regardless to the use of RBV. The most common minor adverse event was asthenia, followed by headache[16,24]. Our findings suggest that the routine use of RBV in GT3 compensated cirrhosis patients treated with SOF/VEL should be reconsidered. Similar findings were observed in real-world studies demonstrating high SVR12 of around 95% in GT3 compensated cirrhosis patients, regardless the use of RBV[25,30]. Given the limited benefit and higher risk of treatment-related adverse events with RBV use, 12 wk of SOF/VEL among GT3 compensated cirrhosis patients provides a simplified approach to safely omit the need for routine genotype and resistance testing, thus allowing rapid treatment upscale[31]. Meanwhile, retreatment using the combination of SOF, VEL and voxilaprevir has also been shown to be an efficacious strategy, both in clinical trials and real-world settings[32,33]. There were several strengths in our meta-analysis. First, we conducted a comprehensive search of four electronic databases, including grey literature, with the help of a medical librarian. All relevant data were extracted independently using a predefined template to compare both the efficacy and safety of RBV and SOF/VEL in GT3 compensated cirrhosis patients. All corresponding authors were contacted for any missing data through emails. All included studies were homogeneous in terms of patient characteristics, intervention, and outcome measures. Finally, our findings remained robust under various permutations of sensitivity analysis. To our knowledge, this is the first meta-analysis evaluating the safety and efficacy of adding RBV to SOF/VEL, specifically among GT3 compensated cirrhosis patients. We acknowledge that there were limitations to this study. First, the number of subjects with baseline RAS mutations tested were small and only derived from two studies[16,22]. Although SVR12 was higher in the RBV group, it did not achieve statistical significance. Moreover, few papers reported the specific side effects during the treatment period, thus it was not possible to investigate the dose-dependent effect of RBV. We were unable to exclude indication bias among the nonrandomized trials. Although the decision to initiate RBV may be confounded by indication bias, our findings were consistent between RCTs and non-RCTs. Finally, more studies are needed to investigate the treatment outcome among GT3b patients because GT3b are under-represented from the existing literature[34].

CONCLUSION

Among GT3 compensated cirrhosis patients, adding RBV to 12 wk of SOF/VEL did not significantly increase SVR12. As RBV was associated with a higher risk of treatment-related adverse events, routine addition of RBV among GT3 compensated cirrhosis patients receiving SOF/VEL should be reconsidered.

ARTICLE HIGHLIGHTS

Research background

With direct-acting antiviral therapy that is safe, effective and simple to use, future research should address linkage of care of hepatitis C virus (HCV) to achieve elimination.

Research motivation

As ribavirin (RBV) is associated with a higher risk of treatment-related adverse events, RBV as routine add-on therapy to sofosbuvir/velpatasvir (SOF/VEL) should be reconsidered among compensated genotype 3 (GT3) cirrhosis patients.

Research objectives

RBV as routine add-on therapy was not associated with higher sustained virological response at 12 wk post-treatment (SVR12) in GT3 compensated cirrhosis patients receiving SOF/VEL.

Research methods

Systematic review and meta-analysis.

Research results

Our study aimed to evaluate the efficacy and safety of SOF/VEL, with or without RBV in GT3 compensated cirrhosis patients.

Research conclusions

In routine clinical practice, the application of pretreatment resistance-associated substitution testing for patients with GT3 compensated cirrhosis is often limited by cost and availability. Moreover, such a strategy should be balanced with the need for closer monitoring for adverse events from RBV such as anemia. In order to address these gaps, we performed a systematic review and meta-analysis to compare the efficacy and safety of RBV in GT3 compensated cirrhosis patients treated with SOF/VEL.

Research perspectives

SOF/VEL is an effective pan-genotypic direct-acting antiviral combination for the treatment of chronic HCV infection. While the addition of RBV to SOF/VEL improved SVR12 in GT3 decompensated cirrhosis patients, the benefits of RBV in GT3 compensated cirrhosis patients receiving SOF/VEL remains unclear.

ACKNOWLEDGEMENTS

The authors would like to thank Professor Rajender Reddy, Professor Naomi Khine Than Hliang and Dr Wilcon James for their kind assistance in our meta-analysis.
  30 in total

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2.  HCV genotype 3 is associated with a higher hepatocellular carcinoma incidence in patients with ongoing viral C cirrhosis.

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3.  Hepatitis C Guidance 2019 Update: American Association for the Study of Liver Diseases-Infectious Diseases Society of America Recommendations for Testing, Managing, and Treating Hepatitis C Virus Infection.

Authors:  Marc G Ghany; Timothy R Morgan
Journal:  Hepatology       Date:  2020-02       Impact factor: 17.425

4.  The risk of long-term morbidity and mortality in patients with chronic hepatitis C: results from an analysis of data from a Department of Veterans Affairs Clinical Registry.

Authors:  Jeffrey McCombs; Tara Matsuda; Ivy Tonnu-Mihara; Sammy Saab; Patricia Hines; Gilbert L'italien; Timothy Juday; Yong Yuan
Journal:  JAMA Intern Med       Date:  2014-02-01       Impact factor: 21.873

5.  High efficacy of sofosbuvir/velpatasvir and impact of baseline resistance-associated substitutions in hepatitis C genotype 3 infection.

Authors:  J von Felden; J Vermehren; P Ingiliz; S Mauss; T Lutz; K G Simon; H W Busch; A Baumgarten; K Schewe; D Hueppe; C Boesecke; J K Rockstroh; M Daeumer; N Luebke; J Timm; J Schulze Zur Wiesch; C Sarrazin; S Christensen
Journal:  Aliment Pharmacol Ther       Date:  2018-03-14       Impact factor: 8.171

6.  The impact of unrestricted access to direct-acting antiviral among incarcerated hepatitis C virus-infected patients.

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Journal:  Clin Mol Hepatol       Date:  2021-02-19

7.  All-oral 12-week treatment with daclatasvir plus sofosbuvir in patients with hepatitis C virus genotype 3 infection: ALLY-3 phase III study.

Authors:  David R Nelson; James N Cooper; Jacob P Lalezari; Eric Lawitz; Paul J Pockros; Norman Gitlin; Bradley F Freilich; Ziad H Younes; William Harlan; Reem Ghalib; Godson Oguchi; Paul J Thuluvath; Grisell Ortiz-Lasanta; Mordechai Rabinovitz; David Bernstein; Michael Bennett; Trevor Hawkins; Natarajan Ravendhran; Aasim M Sheikh; Peter Varunok; Kris V Kowdley; Delphine Hennicken; Fiona McPhee; Khurram Rana; Eric A Hughes
Journal:  Hepatology       Date:  2015-03-10       Impact factor: 17.425

Review 8.  Ribavirin revisited in the era of direct-acting antiviral therapy for hepatitis C virus infection.

Authors:  Jordan J Feld; Ira M Jacobson; Mark S Sulkowski; Fred Poordad; Fernando Tatsch; Jean-Michel Pawlotsky
Journal:  Liver Int       Date:  2016-09-29       Impact factor: 5.828

9.  Sofosbuvir, Velpatasvir, and Voxilaprevir for Previously Treated HCV Infection.

Authors:  Marc Bourlière; Stuart C Gordon; Steven L Flamm; Curtis L Cooper; Alnoor Ramji; Myron Tong; Natarajan Ravendhran; John M Vierling; Tram T Tran; Stephen Pianko; Meena B Bansal; Victor de Lédinghen; Robert H Hyland; Luisa M Stamm; Hadas Dvory-Sobol; Evguenia Svarovskaia; Jie Zhang; K C Huang; G Mani Subramanian; Diana M Brainard; John G McHutchison; Elizabeth C Verna; Peter Buggisch; Charles S Landis; Ziad H Younes; Michael P Curry; Simone I Strasser; Eugene R Schiff; K Rajender Reddy; Michael P Manns; Kris V Kowdley; Stefan Zeuzem
Journal:  N Engl J Med       Date:  2017-06-01       Impact factor: 91.245

10.  Sofosbuvir and Velpatasvir for HCV Genotype 2 and 3 Infection.

Authors:  Graham R Foster; Nezam Afdhal; Stuart K Roberts; Norbert Bräu; Edward J Gane; Stephen Pianko; Eric Lawitz; Alex Thompson; Mitchell L Shiffman; Curtis Cooper; William J Towner; Brian Conway; Peter Ruane; Marc Bourlière; Tarik Asselah; Thomas Berg; Stefan Zeuzem; William Rosenberg; Kosh Agarwal; Catherine A M Stedman; Hongmei Mo; Hadas Dvory-Sobol; Lingling Han; Jing Wang; John McNally; Anu Osinusi; Diana M Brainard; John G McHutchison; Francesco Mazzotta; Tram T Tran; Stuart C Gordon; Keyur Patel; Nancy Reau; Alessandra Mangia; Mark Sulkowski
Journal:  N Engl J Med       Date:  2015-11-17       Impact factor: 91.245

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