Literature DB >> 23159839

Direct-acting antiviral therapies for hepatitis C genotype 1 infection: a multiple treatment comparison meta-analysis.

C Cooper1, R Lester, K Thorlund, E Druyts, A C El Khoury, S Yaya, E J Mills.   

Abstract

BACKGROUND: New direct-acting antiviral agents for hepatitis C genotype 1 infection, boceprevir and telaprevir, offer enhanced sustained virologic response (SVR) among both treatment-naïve and treatment-experienced patients. AIM: To determine the relative efficacy of the new direct-acting antiviral agents by applying a multiple treatment comparison meta-analysis.
DESIGN: We included published Phase II and III randomized controlled trials evaluating head-to-head comparisons between boceprevir, telaprevir, peg-interferon alpha-2a with ribavirin and peg-interferon alpha-2b with ribavirin in hepatitis C genotype 1 patients. We applied Bayesian multiple treatment comparison meta-analysis.
RESULTS: We included data from four boceprevir, three telaprevir and six peg-interferon alpha-2a plus ribavirin vs. peg-interferon alpha-2b plus ribavirin randomized controlled trials. Both boceprevir and telaprevir offer statistically superior outcomes for SVR, relapse and discontinuation due to adverse events than either peg-interferons among both treatment-naïve and treatment-experienced patients. Among treatment-naïve patients, clinical outcomes were similar for boceprevir and telaprevir, for SVR [odds ratio (OR) 0.90, 95% credible interval (95% CrI) 0.41-1.91] and for relapse (OR 1.09, 95% CrI 0.19-4.84). Similarly, among treatment-experienced patients, clinical outcomes were similar for boceprevir and telaprevir and for SVR (OR 1.45, 95% CrI 0.70-3.08) and for relapse (OR 0.35, 95% CrI 0.13-1.02). For treatment-naïve patients receiving standard-duration therapy, telaprevir yielded lower rates of anemia and neutropenia, but higher rates of rash and pruritus. For treatment-experience patients, all adverse event rates were higher with telaprevir. DISCUSSION: Boceprevir and telaprevir exhibit similar effects among hepatitis C genotype 1 treatment-naïve and treatment-experienced patients.

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Year:  2012        PMID: 23159839      PMCID: PMC3550598          DOI: 10.1093/qjmed/hcs214

Source DB:  PubMed          Journal:  QJM        ISSN: 1460-2393


Introduction

Treatment for hepatitis C virus (HCV) infection is rapidly evolving, with several exciting new treatment developments, offering hope to both treatment-naïve HCV patients and patients who had previously exhausted their treatment options. In particular, two direct-acting antiviral compounds, telaprevir (TVR) and boceprevir (BOC) have recently been approved in Europe and North America for the treatment of HCV genotype 1 infection, the most common genotype in these regions., TVR, a linear peptidomimetic HCV non-structural 3 (NS3)/4A serine protease inhibitor, and BOC, a protease inhibitor that binds to the HCV NS3 active site, are now recommended for use in combination with peg-interferon alpha (peg-INF alpha) plus ribavirin (RIB) for HCV genotype 1 patients. Several large randomized trials demonstrate that both TVR and BOC, in combination with standard treatment, offer very favorable outcomes in terms of sustained virologic response (SVR). These benefits appear for both treatment-naïve patients (those who have not received any drug therapy for their HCV infection) and treatment-experienced patients (those who have previously been treated for HCV and did not achieve a SVR to the therapy) when compared to standard therapy alone. No direct head-to-head clinical trials have evaluated the superiority or non-inferiority of these new agents. A new statistical approach, termed ‘multiple treatment comparison’ (MTC) meta-analysis, allows an analysis of the comparative effectiveness of these agents compared with existing standard treatments to determine their relative effectiveness. This clinically useful tool allows the reader to determine the effectiveness of all examined interventions compared with each other. We aimed to evaluate the relative effectiveness of standard treatment with peg-INF alpha-2a or alpha-2b plus RIB and the new direct-acting antivirals, TVR and BOC, in combination with these standard treatments among HCV genotype 1 patients.

Methods

Eligibility criteria

We included published Phase II and III randomized controlled trials (RCTs) examining the efficacy and safety of peg-INF alpha-2a or peg-INF alpha-2b plus RIB, and TVR and BOC in combination with peg-INF alpha-2a or peg-INF alpha-2b plus RIB. We considered both standard-duration therapy and response-guided therapy regimens (refer to Table 1 for the definition of each standard-duration and response-guided regimen eligible).
Table 1

Standard-duration therapy and response-guided therapy regimens

RegimenTreatmentDoseCourse of treatment

Standard-duration therapy
 Peg-IFN alpha-2a + RIBPeg-INF alpha-2a180 µg/weekPeg-IFN alpha-2a + RIB for 48 weeks
RIB600–1400 mg/day
 Peg-IFN alpha-2b + RIBPeg-INF alpha-2b1.5 µg/kg/weekPeg-IFN alpha-2b + RIB for 48 weeks
RIB600–1400 mg/day
 TVR + Peg-IFN alpha-2a or -2b + RIBTVR750 mg, three times a dayTVR combined with Peg-IFN alpha-2a or -2b + RIB for 12 weeks, followed by Peg-IFN alpha-2a or -2b + RIB alone for 36 weeks
Peg-INF alpha-2a or -2bPeg-INF alpha-2a 180 µg/week; peg-INF alpha-2b 1.5 µg/kg/week
RIB600–1400 mg/day
 BOC + Peg-IFN alpha-2a or -2b + RIBBOC800 mg, three times a dayPeg-IFN alpha-2a or -2b for 4 weeks, followed by Peg-IFN alpha-2a or -2b as well as BOC for 44 weeks
Peg-INF alpha-2a or -2bPeg-INF alpha-2a 180 µg/week; peg-INF alpha-2b 1.5 µg/kg/week
RIB600–1400 mg/day
Response-guided therapy
 TVR + Peg-IFN alpha-2a or -2b + RIBTVR750 mg, three times a dayTVR combined with Peg-IFN alpha-2a or -2b for 12 weeks, followed by Peg-IFN alpha-2a or -2b alone for 12 weeks if HCV RNA was undetectable between Weeks 4 and 12 or for 36 weeks if HCV RNA was detectable at any time between Weeks 4 and 12
Peg-INF alpha-2a or -2bPeg-INF alpha-2a 180 µg/week; peg-INF alpha-2b 1.5 µg/kg/week
RIB600–1400 mg/day
 BOC + Peg-IFN alpha-2a or -2b + RIBBOC800 mg, three times a dayPeg-IFN alpha-2a or -2b for 4 weeks, followed by Peg-IFN alpha-2a or -2b as well as BOC for up to 36 weeks if HCV RNA was undetectable between Weeks 8 and 24 or for 44 weeks if HCV RNA was detectable at any time between Weeks 8 and 24
Peg-INF alpha-2a or -2bPeg-INF alpha-2a 180 µg/week; peg-INF alpha-2b 1.5 µg/kg/week
RIB600–1400 mg/day
Standard-duration therapy and response-guided therapy regimens Included RCTs must have had a common comparison so that a common comparator could be made. Only RCTs reporting outcomes predominantly for genotype 1 HCV infected adult patients were considered. A priori we were aware that some RCTs may provide outcomes for genotype 1 and genotype 4 patients combined. Where possible, we considered only outcomes for genotype 1 patients, but where not possible, we included the outcomes for genotype 1 and genotype 4 patients combined. Both treatment-naïve and treatment-experienced populations were considered. We excluded trials conducted among co-infected patients (e.g. HIV and hepatitis B).

Search strategy

In consultation with a medical librarian, two investigators (K.T. and E.D.) conducted a comprehensive systematic search of the literature. The searches included the following terms: boceprevir, telaprevir, peginterferon, peg-interferon, pegylated interferon, ribavirin and hepatitis C. Each search was limited to RCTs in humans. Searches were not limited by language, sex or age. The searches were performed using the following databases [from inception to Week 4 of 2012 (23–29 January)]: MEDLINE (via PubMed), EMBASE, Cochrane CENTRAL, AMED, CINAHL, TOXNET, Development and Reproductive Toxicology, Hazardous Substances Databank, PsychINFO and Web of Science (refer to Appendix 1 for an example of a full electronic search strategy utilized). The bibliographies of published systematic and narrative reviews and relevant included trials were also searched.

Data abstraction and endpoints

Two investigators (K.T. and E.D.) working independently, in duplicate, abstracted data on the following efficacy outcomes: the proportion of patients achieving SVR (defined as an undetectable HCV RNA at the end of the 24-week post-therapy follow-up period), the proportion of patients relapsing (defined as a reoccurrence of HCV RNA within the 24-week post-therapy follow-up period) and the proportion of patients discontinuing treatment due to an adverse event (defined as the discontinuation of all assigned study drugs during the set treatment period due to an adverse event). Data were also abstracted for the following commonly reported hematological adverse events: anemia (generally defined as hemoglobin <100 g/l), neutropenia (generally defined as absolute neutrophil count <0.75 × 109/l) and thrombocytopenia (generally defined as a platelet count <150 000/ml). Additionally, data were abstracted for the following commonly reported dermatological adverse events: rash (any, as reported by site investigators) and pruritus (any, as reported by site investigators). These data were only abstracted for the standard-duration therapy and response-guided therapy arms, as described earlier, among both treatment-naïve and treatment-experienced patients. Where necessary, we contacted the primary authors of the trial publications for clarifications on trial data, including study setting, participant inclusion criteria, therapy durations, outcomes data, and in the case where only an abstract was available, to ensure we were utilizing the most current and accurate data.

Statistical analysis

Our analysis applied a MTC method. This approach permits the calculation of the relative difference between treatments that have not been evaluated directly. Although statistically complex, this approach is now widely accepted by clinical guideline committees and health regulatory authorities. We applied a Bayesian analysis, which permits more sensitivity analyses than a usual frequentist analysis and is more conservative. We present our findings as odds ratios (ORs) and 95% credible intervals (95% CrIs), which are the Bayesian equivalent of confidence intervals. We assess the following outcomes: SVR, relapse, discontinuation due to adverse events, anemia, neutropenia, thrombocytopenia, rash and pruritis. All outcomes are binary, and so, we modeled (log) ORs for the considered treatment comparisons using Bayesian MTC meta-analysis. The statistical technicalities of this approach are described elsewhere. For all six comparisons between the four treatments, we calculated median ORs and 95% CrIs from the Bayesian posterior distribution. To check agreement between pair-wise estimates and MTC estimates, we also conducted pair-wise random-effects meta-analysis for all pair-wise comparisons. K.T. and E.D. conducted all statistical analysis. All MTC analyses were conducted using WinBUGS (MRC Biostatistics Unit, Cambridge, UK). All pair-wise meta-analyses were conducted using StatDirect version 9.1.

Results

Table 2 provides the characteristics of the included RCTs. Figure 1 displays a schematic of the trial selection process. Six trials assessed peg-INF alpha-2a plus RIB vs. peg-INF alpha-2b plus RIB, three assessed TVR in combination with peg-INF alpha-2a plus RIB vs. peg-INF alpha-2a plus RIB alone,, and four assessed BOC in combination with peg-INF alpha-2b plus RIB vs. peg-INF alpha-2b plus RIB alone.,,, Of note, the TVR trials did not permit the use of erythropoietin therapy to treat anemia; however, at the discretion of the investigator, patients in the BOC trials could be prescribed erythropoietin if hemoglobin levels dropped below 10 g/dl.
Table 2

Characteristics of the included trials

Trial publicationsRegionExperience in the treatmentRegimenTreatmentNo. of patients (n)

Bacon et al., 20118North America and EuropeExperiencedStandard-durationBOC + peg-IFN alpha-2b + RIB161
Response-guidedBOC + peg-IFN alpha-2b + RIB162
Standard-durationPeg-IFN alpha-2b + RIB80
Flamm et al., 20119North AmericaExperiencedStandard-durationBOC + peg-IFN alpha-2a + RIB134
Standard-durationPeg-IFN alpha-2a + RIB67
Jacobson et al., 20113InternationalNaïveResponse-guidedTVR + peg-IFN alpha-2a + RIB361
Standard-durationPeg-IFN alpha-2a + RIB363
Poordad et al., 20116North America and EuropeNaïveStandard-durationBOC + peg-IFN alpha-2b + RIB366
Response-guidedBOC + peg-IFN alpha-2b + RIB368
Standard-durationPeg-IFN alpha-2b + RIB363
Zeuzem et al., 20117InternationalExperiencedStandard-durationTVR + peg-IFN alpha-2a + RIB132
Standard-durationPeg-IFN alpha-2a + RIB266
Ascione et al., 201014EuropeNaïveStandard-durationPeg-IFN alpha-2a + RIB93
Standard-durationPeg-IFN alpha-2b + RIB93
Kwo et al., 20105North America and EuropeNaïveStandard-durationBOC + peg-IFN alpha-2b + RIB103
Standard-durationPeg-IFN alpha-2b + RIB104
Rumi et al., 201015EuropeNaïveStandard-durationPeg-IFN alpha-2a + RIB91
Standard-durationPeg-IFN alpha-2b + RIB87
McHutchison et al., 20094North AmericaNaïveStandard-durationTVR + peg-IFN alpha-2a + RIB75
Standard-durationPeg-IFN alpha-2a + RIB79
McHutchison et al., 200916North AmericaNaïveStandard-durationPeg-IFN alpha-2a + RIB1035
Standard-durationPeg-IFN alpha-2b + RIB1019
Scotto et al., 200817EuropeExperiencedStandard-durationPeg-IFN alpha-2a + RIB45
Standard-durationPeg-IFN alpha-2b + RIB47
Scotto et al., 200818EuropeExperiencedStandard-durationPeg-IFN alpha-2a + RIB37
Standard-durationPeg-IFN alpha-2b + RIB40
Yenice et al., 200519EuropeNaïveStandard-durationPeg-IFN alpha-2a + RIB40
Standard-durationPeg-IFN alpha-2b + RIB40
Figure 1

Study flow diagram.

Study flow diagram. Characteristics of the included trials Nineteen trials extracted for detailed evaluation were excluded for the following reasons: 12 were Phase I trials examining pharmacokinetics, tolerability or safety (nine of which assessed TVR and three of which assessed BOC), three did not examine a standard-duration or response-guided therapy arm (each of which assessed TVR), three did not examine a control treatment nor common comparator (each of which assessed TVR) and one did not examine the outcomes of interest specifically for genotype 1 or genotype 1/4 (which assessed TVR). Refer to Table A1 for a list of the excluded trials.
Table A1

Trials excluded after detailed evaluation

Trial publicationsReason for exclusion

Foster et al., 201138Examined patients with genotypes 2 and 3
Garg et al., 201120Examined Phase I trial data
Guedj and Perelson, 201121Examined Phase I trial data
Kumada et al., 201132Did not examine a standard-duration therapy nor response-guided therapy regimen of interest
Marcellin et al., 201135Did not examine a control treatment nor common comparator treatment
McHutchison et al., 201033Did not examine a standard-duration therapy nor response-guided therapy regimen of interest
Muir et al., 201136Did not examine a control treatment nor common comparator treatment
Sherman et al., 201137Did not examine a control treatment nor common comparator treatment
Adiwijaya et al., 200922Examined Phase I trial data
Hezode et al., 200934Did not examine a standard-duration therapy nor response-guided therapy regimen of interest
Susser et al., 200923Examined Phase I trial data
Curry et al., 200824Examined Phase I trial data
Gelderblom et al., 200825Examined Phase I trial data
Lawitz et al., 200826Examined Phase I trial data
Forestier et al., 200727Examined Phase I trial data
Kieffer et al., 200728Examined Phase I trial data
Sarrazin et al., 200729Examined Phase I trial data
Sarrazin et al., 200730Examined Phase I trial data
Reesink et al., 200631Examined Phase I trial data
For treatment-naïve patients, TVR and BOC were linked through the head-to-head comparisons of peg-INF alpha-2a plus RIB and peg-INF alpha-2b plus RIB for all efficacy measures (Figure 2A). For treatment-experienced patients, head-to-head comparisons of peg-INF alpha-2a plus RIB and peg-INF alpha-2b plus RIB were not available, and thus, TVR and BOC were linked through the assumption that peg-INF alpha-2a plus RIB and peg-INF alpha-2b plus RIB were similar in terms of efficacy and safety (Figure 2B).
Figure 2

Treatment networks employed in the analyses. (A) Treatment network for treatment-naïve patients receiving standard-duration therapy or response-guided therapy and (B) treatment network for treatment-experienced patients receiving standard-duration therapy.

Treatment networks employed in the analyses. (A) Treatment network for treatment-naïve patients receiving standard-duration therapy or response-guided therapy and (B) treatment network for treatment-experienced patients receiving standard-duration therapy. Table 3 presents the ORs and 95% CrIs for the efficacy measures, SVR, relapse to treatment and discontinuation due to adverse events. For treatment-naïve patients receiving standard-duration therapy, TVR and BOC were statistically comparable in terms of SVR and relapse, as indicated by the wide 95% CrIs (note that data on discontinuations due to adverse events were not available among naïve patients provided standard-duration therapy). Similarly, for treatment-experienced patients on standard-duration therapy, TVR and BOC were statistically comparable, in terms of SVR, relapse and discontinuations due to adverse events, as indicated by the wide 95% CrIs. Furthermore, for treatment-naïve patients receiving response-guided therapy, TVR and BOC were also statistically comparable, in terms of SVR, relapse and discontinuations due to adverse events, as indicated by the wide 95% CrIs (note that no trial reported on treatment-experienced patients receiving response-guided therapy). Finally, TVR and BOC both yielded higher SVR rates, lower relapse rates and higher discontinuation rates than the two peg-INF alpha plus RIB regimens. Table A2 presents the corresponding pair-wise comparisons from the pair-wise random-effects meta-analyses.
Table 3

ORs and 95% CrIs for the three efficacy measures

Comparison in the treatmentSVR, OR (95% CrI)Relapse, OR (95% CrI)Discontinuation due to adverse events, OR 2(95% CrI)

Treatment-naïve patients on standard-duration therapya
    TVR + peg-IFN alpha + RIB vs. BOC + peg-IFN alpha + RIB1.11 (0.23–5.68)1.09 (0.19–4.83)
    TVR + peg-IFN alpha + RIB vs. peg-IFN alpha-2a + RIB2.94 (0.80–5.77)0.19 (0.04–0.76)
    BOC + peg-IFN alpha + RIB vs. peg-IFN alpha-2a + RIB2.65 (0.89–7.06)0.18 (0.09–0.31)
    TVR + peg-IFN alpha + RIB vs. peg-IFN alpha-2b + RIB4.22 (1.09–6.87)0.29 (0.04–1.18)
    BOC + peg-IFN alpha + RIB vs. peg-IFN alpha-2b + RIB3.77 (1.69–4.97)0.27 (0.16–0.44)
    Peg-IFN alpha-2a + RIB vs. peg-IFN alpha-2b + RIB1.42 (0.83–2.93)0.67 (0.52–0.86)
Treatment-experienced patients on standard-duration therapyb
    TVR + peg-IFN alpha + RIB vs. BOC + peg-IFN alpha + RIB1.45 (0.70–3.08)0.35 (0.13–1.02)0.44 (0.11–1.63)
    TVR + peg-IFN alpha + RIB vs. peg-IFN alpha + RIB10.4 (6.10–18.4)0.10 (0.05–0.18)3.01 (1.47–7.19)
    BOC + peg-IFN alpha + RIB vs. peg-IFN alpha + RIB7.17 (4.52–11.5)0.27 (0.13–0.58)6.80 (2.59–24.7)
Treatment-naïve patients on response-guided therapyc
    TVR + peg-IFN alpha + RIB vs. BOC + peg-IFN alpha + RIB1.54 (0.95–2.07)0.99 (0.47–2.12)1.11 (0.53–2.32)
    TVR + peg-IFN alpha + RIB vs. peg-IFN alpha-2a + RIB3.80 (2.77–5.21)0.24 (0.15–0.37)1.43 (0.81–2.60)
    BOC + peg-IFN alpha + RIB vs. peg-IFN alpha-2a + RIB2.47 (1.76–3.46)0.23 (0.13–0.43)1.30 (0.86–1.99)
    TVR + peg-IFN alpha + RIB vs. peg-IFN alpha-2b + RIB4.40 (3.01–6.28)0.36 (0.21–0.60)1.42 (0.85–2.43)
    BOC + peg-IFN alpha + RIB vs. peg-IFN alpha-2b + RIB2.85 (2.12–3.86)0.36 (0.20–0.62)1.28 (0.79–2.13)
    Peg-IFN alpha-2a + RIB vs. peg-IFN alpha-2b + RIB1.42 (0.83–2.93)1.50 (0.16–1.94)0.99 (0.77–1.27)

ORs > 1 indicate higher rates in the first treatment group.

aRandom effects MTC model including head-to-head comparison of the two peg-interferons.

bFixed-effect MTC model assuming equal effects of the two peg-interferons.

cFixed-effect MTC model including head-to-head comparison of the two peg-interferons.

Table A2

ORs and 95% CIs for the direct comparisons

Comparison in the treatmentSVR, OR (95% CI)Relapse, OR (95% CI)Discontinuation due to adverse events, OR (95% CI)

Treatment-naïve patients on standard-duration therapy
    TVR + peg-IFN alpha + RIB vs. peg-IFN alpha-2a + RIB2.89 (1.82–4.60)0.21 (0.08–0.57)1.42 (0.98–2.06)
    BOC + peg-IFN alpha + RIB vs. peg-IFN alpha-2b + RIB3.68 (2.50–5.42)0.21 (0.06–0.79)1.07 (0.74–1.54)
    Peg-IFN alpha-2a + RIB vs. peg-IFN alpha-2b + RIB1.46 (0.98–2.19)1.50 (1.16–1.93)0.93 (0.59–1.46)
Treatment-experienced patients on standard-duration therapy
    TVR + peg-IFN alpha + RIB vs. peg-IFN alpha + RIB9.00 (6.22–13.02)0.10 (0.06–0.16)2.91 (1.67–5.07)
    BOC + peg-IFN alpha + RIB vs. peg-IFN alpha + RIB7.08 (4.46–11.26)0.27 (0.13–0.57)5.61 (1.94–16.17)
Treatment-naïve patients on response-guided therapy
    TVR + peg-IFN alpha + RIB vs. peg-IFN alpha + RIB3.78 (3.03–4.73)0.24 (0.17–0.34)1.42 (0.98–2.06)
    BOC + peg-IFN alpha + RIB vs. peg-IFN alpha + RIB2.85 (2.30–3.52)0.36 (0.25–0.53)0.75 (0.56–1.01)

ORs > 1 indicate higher rates in the first treatment group. CI, confidence interval.

ORs and 95% CrIs for the three efficacy measures ORs > 1 indicate higher rates in the first treatment group. aRandom effects MTC model including head-to-head comparison of the two peg-interferons. bFixed-effect MTC model assuming equal effects of the two peg-interferons. cFixed-effect MTC model including head-to-head comparison of the two peg-interferons. Table 4 presents the ORs and 95% CrIs for adverse events of anemia, neutropenia, rash and pruritus. For treatment-naïve patients receiving standard-duration therapy, TVR yielded lower rates of anemia and neutropenia, but higher rates of rash and pruritus. The 95% CrI for rash did not include 1, suggesting statistical evidence of higher incidence of rash episodes in patients treated with TVR compared with BOC. For treatment-experienced patients, all adverse event rates were higher with TVR. For treatment-naïve patients receiving response-guided therapy, TVR and BOC yielded comparable rates of anemia and neutropenia, and TVR yielded higher rates of rash and pruritus. The 95% CrI for rash did not include 1, suggesting statistical evidence of higher incidence of rash episodes in patients treated with TVR compared with BOC. Table A3 presents the corresponding pair-wise comparisons from the pair-wise random-effects meta-analyses.
Table 4

ORs and 95% CrIs for the four adverse outcomes

Comparison in the treatmentAnemia, OR (95% CrI)Neutropenia, OR (95% CrI)Rash, OR (95% CrI)Pruritus, OR (95% CrI)

Treatment-naïve patients on standard-duration therapya
    TVR + peg-IFN alpha + RIB vs. BOC + peg-IFN alpha + RIB0.44 (0.23–1.03)0.86 (0.38–1.98)3.09 (1.45–6.65)2.37 (0.80–7.07)
    TVR + peg-IFN alpha + RIB vs. peg-IFN alpha-2a + RIB1.13 (0.56–2.31)1.01 (0.48–2.15)2.22 (1.15–4.23)2.35 (1.18–4.89)
    BOC + peg-IFN alpha + RIB vs. peg-IFN alpha-2a + RIB2.41 (1.74–3.31)1.16 (0.80–1.67)0.72 (0.48–1.07)1.00 (0.43–2.27)
    TVR + peg-IFN alpha + RIB vs. peg-IFN alpha-2b + RIB1.11 (0.53–2.33)1.32 (0.62–2.85)3.06 (1.57–5.99)2.20 (0.79–6.29)
    BOC + peg-IFN alpha + RIB vs. peg-IFN alpha-2b + RIB2.35 (1.80–3.08)1.53 (1.19–2.09)0.99 (0.70–1.40)0.93 (0.67–1.29)
    Peg-IFN alpha-2a + RIB vs. peg-IFN alpha-2b + RIB0.98 (0.82–1.17)1.32 (1.09–1.60)1.37 (1.13–1.68)0.93 (0.44–2.04)
Treatment-experienced patients on standard-duration therapyb
    TVR + peg-IFN alpha + RIB vs. BOC + peg-IFN alpha + RIB1.65 (0.83–3.37)1.72 (0.67–4.38)1.13 (0.47–2.67)2.52 (1.09–5.70)
    TVR + peg-IFN alpha + RIB vs. peg-IFN alpha + RIB2.42 (1.40–4.73)1.41 (0.76–2.77)2.57 (1.56–4.32)2.88 (1.86–4.58)
    BOC + peg-IFN alpha + RIB vs. peg-IFN alpha + RIB1.46 (0.96–2.21)0.81 (0.43–1.64)2.28 (1.17–4.71)1.15 (0.57–2.31)
Treatment-naïve patients on response-guided therapya
    TVR + peg-IFN alpha + RIB vs. BOC + peg-IFN alpha + RIB0.94 (0.60–1.52)0.96 (0.57–1.61)2.17 (1.32–3.52)1.07 (0.44–2.68)
    TVR + peg-IFN alpha + RIB vs. peg-IFN alpha-2a + RIB2.27 (1.69–3.07)1.20 (0.81–1.75)1.79 (1.35–2.40)1.07 (0.48–2.52)
    BOC + peg-IFN alpha + RIB vs. peg-IFN alpha-2a + RIB2.40 (1.69–3.42)1.24 (0.87–1.75)0.83 (0.57–1.23)0.99 (0.71–1.40)
    TVR + peg-IFN alpha + RIB vs. peg-IFN alpha-2b + RIB2.22 (1.56–3.15)0.91 (0.65–1.27)2.47 (1.75–3.52)1.19 (0.91–1.57)
    BOC + peg-IFN alpha + RIB vs. peg-IFN alpha-2b + RIB2.35 (1.73–3.19)0.94 (0.63–1.40)1.14 (0.82–1.60)1.11 (0.46–2.55)
    Peg-IFN alpha-2a + RIB vs. peg-IFN alpha-2b + RIB0.98 (0.82–1.17)0.75 (0.62–0.92)1.37 (1.12–1.68)0.92 (0.42–2.06)

ORs > 1 indicate higher rates in the first treatment group.

aFixed effects MTC model including head-to-head comparison of the two peg-interferons.

bFixed effect MTC model assuming equal effects of the two peg-interferons.

Table A3

ORs and 95% CIs for the direct comparisons

Comparison in the treatmentAnemia, OR (95% CI)Neutropenia, OR (95% CI)Rash, OR (95% CI)Pruritus, OR (95% CI)

Treatment-naïve patients on standard-duration therapy
    TVR + peg-IFN alpha + RIB vs. peg-IFN alpha-2a + RIB1.13 (0.69–1.86)1.00 (0.59–1.69)2.20 (1.39–3.47)2.32 (1.41–3.82)
    BOC + peg-IFN alpha + RIB vs. peg-IFN alpha-2b + RIB2.31 (1.79–3.07)1.93 (0.76–4.91)0.99 (0.78–1.26)0.93 (0.74–1.18)
    Peg-IFN alpha-2a + RIB vs. peg-IFN alpha-2b + RIB0.98 (0.82–1.17)1.32 (1.09–1.59)1.37 (1.19–1.58)0.93 (0.54–1.60)
Treatment-experienced patients on standard-duration therapy
    TVR + peg-IFN alpha + RIB vs. peg-IFN alpha + RIB2.37 (1.61–3.47)0.20 (0.13–0.31)2.54 (1.78–3.62)2.88 (2.09–3.96)
    BOC + peg-IFN alpha + RIB vs. peg-IFN alpha + RIB1.44 (0.27–7.74)0.82 (0.51–1.32)2.19 (1.09–4.41)1.12 (0.69–1.84)
Treatment-naïve patients on response-guided therapy
    TVR + peg-IFN alpha + RIB vs. peg-IFN alpha + RIB2.46 (1.94–3.12)0.70 (0.53–0.93)1.79 (1.43–2.25)1.75 (1.42–2.15)
    BOC + peg-IFN alpha + RIB vs. peg-IFN alpha + RIB2.34 (1.89–2.90)1.24 (0.97–1.58)1.14 (0.90–1.45)0.84 (0.66–1.06)

ORs > 1 indicate higher rates in the first treatment group. CI, confidence interval.

ORs and 95% CrIs for the four adverse outcomes ORs > 1 indicate higher rates in the first treatment group. aFixed effects MTC model including head-to-head comparison of the two peg-interferons. bFixed effect MTC model assuming equal effects of the two peg-interferons. Although thrombocytopenia was not consistently reported in the trial publications of TVR or BOC, combined data from all trials were available in the US Food and Drug Administration (FDA) reports., For TVR, 18 of 1823 (1.0%) patients randomized to a treatment arm containing TVR were diagnosed with thrombocytopenia, whereas 1 of 764 (0.1%) patients randomized to a matched placebo arm was diagnosed with thrombocytopenia. For BOC, 49 of 1057 (4.6%) patients randomized to a treatment arm containing BOC were diagnosed with thrombocytopenia, whereas 7 of 443 (1.6%) patients randomized to a matched placebo arm were diagnosed with thrombocytopenia. These proportions correspond to an OR of 3.36 (95% CrI 0.46–88.7). Note, however, that this OR represents the comparative risk of thrombocytopenia across both naïve and experienced patients receiving either standard-dose duration therapy or response-guided therapy.

Discussion

Our study demonstrates that both new direct-acting agents offer favorable outcomes over standard therapy for the treatment of genotype 1 HCV infection. Clinically important outcomes, including SVR, relapse and discontinuation of treatment due to adverse events appear to be similar between the two direct-acting agents and are clearly superior over the standard therapies examined for both standard-duration therapy and response-guided therapy regimens. Our findings should be of interest to clinicians and patients who are seeking either the most effective options for first-line therapies or exploring options among more experienced patients. The decision to use one specific HCV peg-INF alpha or direct-acting antiviral over another is based on multiple parameters, including SVR rate, relapse rate, discontinuation rate due to adverse events, side-effect profile, dosing regimen, pill count, resistance risk, likelihood of shortened therapy utilizing a treatment (RGT) approach to therapy, patient characteristics (e.g. physical, behavioral and genetic) and cost. Our analysis suggests that SVR, relapse rate and discontinuation rate due to adverse events can be removed from this decision algorithm in genotype 1-infected populations as these key outcomes of HCV therapy, based on currently available data, are similar between TVR and BOC containing regimens and between the peg-INF alpha-based treatments. Overall, our analyses suggest that the other key medication characteristics listed above should guide the selection of the two currently licensed protease inhibitors. With publication of additional data pertaining to TVR and BOC and the eventual approval of other direct-acting antivirals, the factors that inform medication selection in clinical practice will require reconsideration and updating. There are several important strengths to consider in our analysis. First, our analysis permits inferences into differences in treatment effects that had not been evaluated directly. This approach is relatively new in the clinical literature and allows for a more powerful exploration of treatment differences than pair-wise meta-analysis permit, which would not have been appropriate for this analysis. This method provides stronger inferences than adjusted in direct comparisons. We recognize that both direct-acting agents were provided on top of standard treatment. We examined whether the choice of peg-INF alpha affects the treatment outcomes of patients and found that they did not matter in a clinically important manner. There are also certain limitations to consider in our analysis. We included all published studies evaluating the head-to-head comparisons of interventions in our network. In some circumstances, these were small. For example, the number of trials contributing to the analysis of experienced patients may provide less precise estimates than if we had a larger number of trials. For experienced patients, we were unable to determine the outcomes of relapse or discontinuation due to non-reporting in the primary studies. Furthermore, the boceprevir trials conducted among experienced patients did not recruit null responders, but the teleprevir trials did. In this regard, the treatment-experienced populations are dissimilar, and the results may slightly underestimate the efficacy of telaprevir and/or slightly overestimate the efficacy of boceprevir in the prior non-response subgroup of patients. We estimated the additive effects of each direct-acting agent on top of the chosen peg-INF alpha used in each trial and did not demonstrate a statistically significant benefit of peg-INF alpha choice. There is some reason to believe that the choice of peg-INF alpha will differ in terms of treatment outcomes depending on the population studied. We performed a variety of regression analyses to determine whether patient status, in terms of gender and percent of trial population cirrhotic, impacted our findings and demonstrated they did not (data available upon request). Given the small number of included studies of each agent, subgroup analyses based on our regressions should be interpreted with caution. Finally, while our results indicate that anemia is slightly increased with TVR and moderately increased with BOC, it should be recognized that erythropoietin, used for the management of anemia, was not permitted in the TVR trials. This difference in erythropoietin use could have affected the proportions of patients discontinuing due to anemia. The statistical approach that we employed is widely accepted by agencies such as the UK National Institutes of Clinical Excellence, the Canadian Drug Safety and Effectiveness Network and the US Agency for Healthcare Research and Quality. However, many clinicians may be unfamiliar with this approach and few guides are available to critically appraise such studies. The MTC meta-analysis relies on many of the same assumptions as a standard pair-wise meta-analysis. There is a necessary consideration that the trials of each agent are sufficiently similar to pool together in terms of populations, interventions and outcomes. A further necessary consideration is that these similarities exist across the different agents. Finally, there is a necessary consideration that indirect comparisons and direct comparisons yield consistent outcomes, a finding that can be assessed statistically when both direct and indirect evidence are available for the same interventions (in this case, in the peg-INF alpha plus RIB treatments). The largest analysis that has examined the coherence between direct and indirect comparisons of trials, published in 2011, found that there was inconsistency in only 14% of evaluations. In summary, both of the new direct-acting protease inhibitors available to treat HCV infections yield superior treatment outcomes when added to the peg-INF and RIB combinations alone and thus provide exciting new opportunities for hepatitis C control. Given their similar efficacy, selection of regimen to treat individuals with hepatitis C infection should include specific considerations such as tolerance and cost.

Funding

This study was initiated and conducted by the academic researchers. We approached Merck & Co. for funding and received funding based on a submitted protocol. Merck & Co. had no involvement in the choice of analysis, interpretation of the results or choice to submit. Dr A.C.E.K. was an employee of Merck, Sharp & Dohme at the time this study was conducted and assisted with content expertise and access to data. He had no role in choices regarding the interpretation or decision to submit this article. Conflict of interest: None declared.
  43 in total

Review 1.  Hepatitis in 2010: the dawn of a new era in HCV therapy.

Authors:  Sandra Ciesek; Michael P Manns
Journal:  Nat Rev Gastroenterol Hepatol       Date:  2011-02       Impact factor: 46.802

2.  Is a subgroup effect believable? Updating criteria to evaluate the credibility of subgroup analyses.

Authors:  Xin Sun; Matthias Briel; Stephen D Walter; Gordon H Guyatt
Journal:  BMJ       Date:  2010-03-30

3.  The efficacy of pegylated interferon alpha 2a or 2b plus ribavirin in chronic hepatitis C patients.

Authors:  Necati Yenice; Ozgür Mehtap; Mübeccel Gümrah; Nurten Arican
Journal:  Turk J Gastroenterol       Date:  2006-06       Impact factor: 1.852

4.  Telaprevir for previously treated chronic HCV infection.

Authors:  John G McHutchison; Michael P Manns; Andrew J Muir; Norah A Terrault; Ira M Jacobson; Nezam H Afdhal; E Jenny Heathcote; Stefan Zeuzem; Hendrik W Reesink; Jyotsna Garg; Mohammad Bsharat; Shelley George; Robert S Kauffman; Nathalie Adda; Adrian M Di Bisceglie
Journal:  N Engl J Med       Date:  2010-04-08       Impact factor: 91.245

5.  Retreatment with telaprevir combination therapy in hepatitis C patients with well-characterized prior treatment response.

Authors:  Andrew J Muir; Fred F Poordad; John G McHutchison; Mitchell L Shiffman; Thomas Berg; Peter Ferenci; E Jenny Heathcote; Jean-Michel Pawlotsky; Stefan Zeuzem; Henk W Reesink; Geoffrey Dusheiko; Emily C Martin; Shelley George; Robert S Kauffman; Nathalie Adda
Journal:  Hepatology       Date:  2011-11       Impact factor: 17.425

6.  Telaprevir alone or with peginterferon and ribavirin reduces HCV RNA in patients with chronic genotype 2 but not genotype 3 infections.

Authors:  Graham R Foster; Christophe Hézode; Jean-Pierre Bronowicki; Giampiero Carosi; Ola Weiland; Lieselotte Verlinden; Rolf van Heeswijk; Ben van Baelen; Gaston Picchio; Maria Beumont
Journal:  Gastroenterology       Date:  2011-05-31       Impact factor: 22.682

7.  Second-phase hepatitis C virus RNA decline during telaprevir-based therapy increases with drug effectiveness: implications for treatment duration.

Authors:  Jeremie Guedj; Alan S Perelson
Journal:  Hepatology       Date:  2011-05-02       Impact factor: 17.425

8.  Dynamic hepatitis C virus genotypic and phenotypic changes in patients treated with the protease inhibitor telaprevir.

Authors:  Christoph Sarrazin; Tara L Kieffer; Doug Bartels; Brian Hanzelka; Ute Müh; Martin Welker; Dennis Wincheringer; Yi Zhou; Hui-May Chu; Chao Lin; Christine Weegink; Henk Reesink; Stefan Zeuzem; Ann D Kwong
Journal:  Gastroenterology       Date:  2007-02-21       Impact factor: 22.682

9.  Randomized study of peginterferon-alpha2a plus ribavirin vs peginterferon-alpha2b plus ribavirin in chronic hepatitis C.

Authors:  Maria Grazia Rumi; Alessio Aghemo; Gian Maria Prati; Roberta D'Ambrosio; Maria Francesca Donato; Roberta Soffredini; Ersilio Del Ninno; Antonio Russo; Massimo Colombo
Journal:  Gastroenterology       Date:  2009-09-18       Impact factor: 22.682

10.  Telaprevir with peginterferon and ribavirin for chronic HCV genotype 1 infection.

Authors:  John G McHutchison; Gregory T Everson; Stuart C Gordon; Ira M Jacobson; Mark Sulkowski; Robert Kauffman; Lindsay McNair; John Alam; Andrew J Muir
Journal:  N Engl J Med       Date:  2009-04-30       Impact factor: 91.245

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  15 in total

1.  New triple therapy for chronic hepatitis C: real life clinical experience in a community setting.

Authors:  Matthew J Akiyama; Joy I Piotrowski; Marina M Roytman; Siu M A Chan; Leena K Hong; Leslie Huddleston; Ruby Trujillo; Naoky C S Tsai
Journal:  Hawaii J Med Public Health       Date:  2013-09

2.  Impact of all oral anti-hepatitis C virus therapy: A meta-analysis.

Authors:  Siddharth Bansal; Ashwani K Singal; Brendan M McGuire; Bhupinder S Anand
Journal:  World J Hepatol       Date:  2015-04-18

Review 3.  Hepatitis C virus and non-Hodgkin's lymphomas: Meta-analysis of epidemiology data and therapy options.

Authors:  Gabriele Pozzato; Cesare Mazzaro; Luigino Dal Maso; Endri Mauro; Francesca Zorat; Giulia Moratelli; Pietro Bulian; Diego Serraino; Valter Gattei
Journal:  World J Hepatol       Date:  2016-01-18

4.  Estimating the clinical and economic benefit associated with incremental improvements in sustained virologic response in chronic hepatitis C.

Authors:  Phil McEwan; Thomas Ward; Hayley Bennett; Anupama Kalsekar; Samantha Webster; Michael Brenner; Yong Yuan
Journal:  PLoS One       Date:  2015-01-30       Impact factor: 3.240

Review 5.  Efficacy of Second Generation Direct-Acting Antiviral Agents for Treatment Naïve Hepatitis C Genotype 1: A Systematic Review and Network Meta-Analysis.

Authors:  Thanthima Suwanthawornkul; Thunyarat Anothaisintawee; Abhasnee Sobhonslidsuk; Ammarin Thakkinstian; Yot Teerawattananon
Journal:  PLoS One       Date:  2015-12-31       Impact factor: 3.240

6.  Budget impact analysis of boceprevir and telaprevir for the treatment of hepatitis C genotype 1 infection.

Authors:  Kristian Thorlund; Eric Druyts; Antoine C El Khoury; Edward J Mills
Journal:  Clinicoecon Outcomes Res       Date:  2012-11-16

Review 7.  Network meta-analysis of first- and second-generation protease inhibitors for chronic hepatitis C genotype 1: efficacy based on RVR and SVR 24.

Authors:  Helena H Borba; Astrid Wiens; Laiza M Steimbach; Cassio M Perlin; Fernanda S Tonin; Maria L A Pedroso; Fernando Fernandez-Llimos; Roberto Pontarolo
Journal:  Eur J Clin Pharmacol       Date:  2016-10-19       Impact factor: 3.064

8.  Management algorithm for genotype 1 hepatitis C virus.

Authors:  Arthur Y Kim
Journal:  F1000Prime Rep       Date:  2013-07-01

9.  Interpreting discordant indirect and multiple treatment comparison meta-analyses: an evaluation of direct acting antivirals for chronic hepatitis C infection.

Authors:  Eric Druyts; Kristian Thorlund; Samantha Humphreys; Michaela Lion; Curtis L Cooper; Edward J Mills
Journal:  Clin Epidemiol       Date:  2013-06-20       Impact factor: 4.790

10.  Health state utilities associated with attributes of treatments for hepatitis C.

Authors:  Louis S Matza; Sandhya J Sapra; John F Dillon; Anupama Kalsekar; Evan W Davies; Mary K Devine; Jessica B Jordan; Amanda S Landrian; David H Feeny
Journal:  Eur J Health Econ       Date:  2014-12-07
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