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Peginterferón alfa 2a versus peginterferón alfa 2b para la hepatitis C crónica

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Resumen

Antecedentes

La combinación de interferón pegilado (peginterferón) alfa semanal y ribavirina diaria todavía representa el tratamiento estándar de la infección por hepatitis C crónica en la mayoría de los pacientes. Sin embargo, no se ha establecido cuál de los dos productos autorizados de peginterferón, peginterferón alfa 2a o peginterferón alfa 2b, es el más efectivo y tiene un mejor perfil de seguridad.

Objetivos

Evaluar sistemáticamente los efectos beneficiosos y perjudiciales del peginterferón alfa 2a versus peginterferón alfa 2b en ensayos clínicos aleatorios de comparación directa en pacientes con hepatitis C crónica.

Métodos de búsqueda

Se hicieron búsquedas en el registro de ensayos controlados del Grupo Cochrane Hepatobiliar (Cochrane Hepato‐Biliary Group), Registro Cochrane Central de Ensayos Controlados (Cochrane Central Register of Controlled Trials), (CENTRAL) en The Cochrane Library, MEDLINE, EMBASE, Science Citation Index Expanded y en LILACS hasta octubre 2013. También se buscó en los resúmenes de congresos, revistas y en la literatura gris.

Criterios de selección

Se incluyeron ensayos clínicos aleatorios que comparaban peginterferón alfa 2a versus peginterferón alfa 2b administrado con o sin cointervención/es (p.ej. ribavirina) para la hepatitis C crónica. Los estudios cuasialeatorios y los estudios observacionales identificados por las búsquedas también se consideraron para la evaluación de los efectos perjudiciales. Los resultados primarios fueron la mortalidad por cualquier causa, la morbilidad relacionada con el hígado, los eventos adversos graves, los eventos adversos que dieron lugar a la interrupción del tratamiento, otros eventos adversos y la calidad de vida. El resultado secundario fue la respuesta virológica sostenida en el suero sanguíneo.

Obtención y análisis de los datos

Dos autores utilizaron independientemente un formulario de recogida de datos estandarizado. Se metanalizaron los datos con los modelos de efectos fijos y de efectos aleatorios. Para cada resultado, se calculó el riesgo relativo (RR) con intervalo de confianza (IC) del 95% sobre la base del análisis por intención de tratar. Se utilizaron los dominios de los ensayos para evaluar el riesgo de errores sistemáticos (sesgo) y los análisis secuenciales de los ensayos para evaluar el riesgo de errores aleatorios (intervención del azar). Los efectos de la intervención sobre los resultados se evaluaron según GRADE.

Resultados principales

Se incluyeron 17 ensayos clínicos aleatorios que compararon peginterferón alfa 2a más ribavirina versus peginterferón alfa 2b más ribavirina en 5847 pacientes. Todos los ensayos presentaban un riesgo de sesgo elevado. Muy pocos ensayos informaron datos sobre muy pocos pacientes en cuanto a los resultados relevantes para los pacientes, la mortalidad por cualquier causa, la morbilidad relacionada con el hígado, los eventos adversos graves y la calidad de vida. En consecuencia, no fue posible realizar los metanálisis sobre la mortalidad por cualquier causa, la morbilidad relacionada con el hígado y la calidad de vida. Doce ensayos informaron sobre los eventos adversos que dieron lugar a la interrupción del tratamiento sin pruebas claras de una diferencia entre los dos tipos de peginterferón (197/2171 [9,1%] versus 311/3169 [9,9%]; RR 0,84; IC del 95%: 0,57 a 1,22; I2 = 44%; pruebas de baja calidad). Un análisis secuencial de los ensayos mostró que se podía excluir una reducción del riesgo relativo del 20% o más en este resultado. El peginterferón alfa 2a aumentó significativamente el número de pacientes que lograron una respuesta virológica sostenida en el suero sanguíneo en comparación con peginterferón alfa 2b (1069/2099 [51%] versus 1327/3075 [43%]; RR 1,12; IC del 95%: 1,06 a 1,18; I2= 0%, 12 ensayos; pruebas de calidad moderada). Los análisis secuenciales de los ensayos apoyaron este resultado. Los análisis de subgrupos basados en el riesgo de sesgo, el genotipo viral y los antecedentes de tratamiento produjeron resultados similares. Los análisis secuenciales de los ensayos apoyaron los resultados en los pacientes con genotipos 1 y 4, pero no en los pacientes con genotipos 2 y 3.

Conclusiones de los autores

Existe una falta de pruebas sobre los resultados importantes para los pacientes y una escasez de pruebas sobre los eventos adversos. Las pruebas de calidad moderada sugieren que el peginterferón alfa 2a se asocia con una respuesta virológica sostenida mayor en el suero en comparación con peginterferón alfa 2b. Este hallazgo puede ser afectado por el alto riesgo de sesgo de los estudios incluidos. No se conocen las consecuencias clínicas del peginterferón alfa 2a versus peginterferón alfa 2b y no es posible traducir un efecto sobre la respuesta virológica sostenida en efectos clínicos equivalentes debido a que la respuesta virológica sostenida todavía es un resultado indirecto no validado para los resultados importantes para los pacientes. La falta de pruebas sobre los resultados importantes para los pacientes y la escasez de pruebas sobre los eventos adversos omplican que no sea posible establecer conclusiones acerca de los efectos de un tipo de peginterferón sobre el otro.

Resumen en términos sencillos

Peginterferón alfa 2 a versus peginterferón alfa 2 b para la hepatitis C crónica

Importancia de la revisión o antecedentes sobre la enfermedad

La hepatitis C es una enfermedad del hígado causada por el virus de la hepatitis C. A nivel mundial, se calcula que 170 000 000 de personas están infectadas de forma crónica por el virus de la hepatitis C. La hepatitis C crónica puede causar daño hepático en forma de inflamación y formación de cicatrices en el hígado (cirrosis). El daño hepático puede dar lugar a insuficiencia hepática y a otras complicaciones, incluido el cáncer de hígado. El objetivo del tratamiento de la hepatitis C crónica es prevenir las complicaciones de la infección por hepatitis C. Lo anterior podría lograrse mediante la eliminación del virus de la sangre del paciente. Sin embargo, aún se necesita comprender si esto se asocia con resultados relevantes para los pacientes y clínicamente relevantes. La combinación de inyecciones semanales de peginterferón alfa y ribavirina diaria oral todavía representa el estándar de atención para la mayoría de los pacientes con hepatitis C crónica. Actualmente, hay dos productos autorizados de peginterferón en el mercado, peginterferón alfa 2a y peginterferón alfa 2b.

Principales hallazgos de la revisión

La revisión identificó 17 ensayos clínicos con asignación aleatoria. Los ensayos informaron los resultados relevantes para los pacientes sólo ocasionalmente. Todos los ensayos presentaron un riesgo alto de sesgo (es decir, un ensayo podría sistemáticamente sobrestimar los efectos beneficiosos o subestimar los efectos perjudiciales de los tratamientos). Ambos tratamientos se asociaron con un riesgo alto de experimentar eventos adversos, que pueden dar lugar a la interrupción del tratamiento. Doce ensayos informaron sobre la eliminación del virus de la sangre seis meses después del final del tratamiento. Un resumen de las pruebas actuales de esta revisión sugiere que el peginterferón alfa 2a presenta mayores posibilidades de eliminar el virus de la sangre del paciente que el peginterferón alfa 2b (en un 50% en comparación con un 43%).

Conclusiones

No fue posible identificar pruebas sobre los beneficios de un tipo de peginterferón sobre el otro en cuanto a los resultados importantes para los pacientes.

Posibles limitaciones de la revisión

No existen datos suficientes de este tema con respecto a los resultados importantes para los pacientes.

Authors' conclusions

Implications for practice

There is lack of evidence on patient‐important outcomes such as mortality, liver complications, cirrhosis, hepatocellular carcinoma, and quality of life. Both drugs look comparable regarding harms (adverse events), but the reporting of adverse events in trials was insufficient. Moderate quality evidence suggests that peginterferon alpha‐2a is superior to peginterferon alpha‐2b in achieving a sustained virological response. However, sustained virological response is still an unvalidated surrogate outcome for patient‐important outcomes. The lack of evidence on patient‐important outcomes and the paucity of evidence on adverse events means we are unable to draw definitive conclusions about the effects of one peginterferon over the other.

Implications for research

Future randomised clinical trials need to study the association between achieving a sustained virological response and patient‐relevant outcomes such as liver complications, quality of life, and mortality. Furthermore, future trials ought to be designed according to the Standard Protocol Items: Recommendations for Interventional Trials (SPIRIT) guidelines (Chan 2013) and be reported following the CONSORT statement (Moher 2012).

Summary of findings

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Summary of findings for the main comparison. Peginterferon alpha‐2a versus peginterferon alpha‐2b for chronic hepatitis C

Peginterferon alpha‐2a versus peginterferon alpha‐2b for chronic hepatitis C

Patient or population: patients with chronic hepatitis C.
Settings: mainly out‐patients in tertiary and teaching hospitals.
Intervention: peginterferon alpha‐2a versus peginterferon alpha‐2b.

Outcomes

Illustrative comparative risks* (95% CI)

Relative effect
(95% CI)

No of participants
(trials)

Quality of the evidence
(GRADE)

Comments

Assumed risk

Corresponding risk

Peginterferon alpha‐2b

Peginterferon alpha‐2a

All‐cause mortality
Deaths during and after the treatment
Follow‐up: 48 to 72 weeks

Study population

RR 1.97
(0.64 to 6.08)

3070
(1 study)

⊕⊝⊝⊝
very low1,2

3 per 1000

6 per 1000
(2 to 18)

Moderate

3 per 1000

6 per 1000
(2 to 18)

Liver‐related morbidity
Number of events
Follow‐up: 8 weeks

Study population

RR 3
(0.7 to 12.93)

36
(1 study)

⊕⊝⊝⊝
very low2

111 per 1000

333 per 1000
(78 to 1000)

Moderate

111 per 1000

333 per 1000
(78 to 1000)

Serious adverse events
Number of events
Follow‐up: 48 to 72 weeks

Study population

RR 1.12
(0.95 to 1.3)

3900
(4 studies)

⊕⊕⊝⊝
low3,4

114 per 1000

127 per 1000
(108 to 148)

Moderate

70 per 1000

78 per 1000
(66 to 91)

Adverse events leading to treatment discontinuation
Number of events
Follow‐up: 48‐72 weeks

Study population

RR 0.84
(0.57 to 1.22)

5340
(12 studies)

⊕⊕⊝⊝
low1,4,5,6

99 per 1000

83 per 1000
(56 to 120)

Moderate

80 per 1000

67 per 1000
(46 to 98)

All other (non‐serious) adverse events
Follow‐up: 48 to 72 weeks

See comment

See comment

Not estimable

4981
(9 studies)

⊕⊝⊝⊝
very low4,5,6

Quality of life
SF 36 and CLDQ
Follow‐up: 48 to 71 weeks

See comment

See comment

434
(1 study)

⊕⊝⊝⊝
very low7,8

Sustained virological response
Absence of viraemia 24 weeks after the treatment
Follow‐up: 48 to 72 weeks

Study population

RR 1.12
(1.06 to 1.18)

5013
(12 studies)

⊕⊕⊕⊝9,10
moderate

421 per 1000

480 per 1000
(451 to 510)

Moderate

510 per 1000

581 per 1000
(546 to 617)

*The basis for the assumed risk (e.g. the median control group risk across studies) is provided in footnotes. The corresponding risk (and its 95% confidence interval) is based on the assumed risk in the comparison group and the relative effect of the intervention (and its 95% CI).
CI: Confidence interval; RR: Risk ratio.

GRADE Working Group grades of evidence
High quality: Further research is very unlikely to change our confidence in the estimate of effect.
Moderate quality: Further research is likely to have an important impact on our confidence in the estimate of effect and may change the estimate.
Low quality: Further research is very likely to have an important impact on our confidence in the estimate of effect and is likely to change the estimate.
Very low quality: We are very uncertain about the estimate.

1 The trial is at low risk of bias due to the allocation sequence generation and allocation concealment.
2Data from only one trial, wide confidence interval. Incomplete outcome data. Very low due to imprecision.
3Post hoc required information size calculation based on a 10% risk of adverse events in the peginterferon alpha‐2b group, a minimally important difference of 10%, a 5% type I error, and a 80% power, suggests that a minimum of 27,000 patients need to be randomised for a conclusive meta‐analysis on adverse events. The current number of patients is only approximately 5000.
4Wide confidence interval. Low due to imprecision.
5Trials yield widely differing estimates of effect. Low due to imprecision.
6 Reporting of all other adverse events was poor and inconsistent across all included trials. The proportions of observed adverse events differ substantially across the trials, and the direction of effect is heterogeneous. Because the event proportion is relatively low across all trials, all of the included trials may be subject to considerable random errors, thus explaining the apparent heterogeneity in direction of estimates.
7 Data from only one trial. Low due to imprecision
8 Investigators fail to report the details necessary for calculating the effect estimate of the quality of life assessment. Very low due to imprecision.
9Sustained virological response does not seem to be a valid surrogate marker for assessing HCV treatment efficacy of interferon retreatment. Moderate quality of evidence due to indirectness due to surrogate and risk of bias.
10All trials are with high risk of bias. Sensitivity analyses did not show any important change in the intervention effects when we focused on trials with lower risk of bias.

Background

Description of the condition

Globally, an estimated 170 million people are chronically infected with hepatitis C virus, and three to four million people are newly infected each year (WHO 1999). In the majority of patients, acute hepatitis C infection is asymptomatic. Hepatitis C infection is generally recognised in the chronic phase (Hodgson 2003). Around 85% of patients who become infected with hepatitis C fail to clear the virus and become chronic carriers of hepatitis C virus. Among these individuals, 5% to 20% are reported to develop cirrhosis over a period of approximately 20 to 25 years (Seeff 2002; Seef 2009). Patients with advanced fibrosis or cirrhosis develop liver complications such as hepatocellular carcinoma with an annual proportion of 2% to 4% (Benvegnu 2001; Fattovich 2002). Furthermore, chronic hepatitis C is the single most common indication for liver transplantation (OPTN 2008).

Hepatitis C virus is an enveloped RNA virus that constitutes the genus Hepacivirus within the Flaviviridae family (van Regenmorte 2000; Penin 2004). Hepatitis C virus is divided into six genotypes, which differ from each other by up to 30% in the nucleotide sequence, and has a large and growing number of subtypes (Rosenberg 2001). Hepatitis C virus genotypes differ with geographic region (Davis 1999). Although a genotype does not predict the outcome of the infection, it does predict the likelihood of virologic treatment response and, in many cases, determines the duration of treatment (Manns 2001; Fried 2002; Hadziyannis 2004).

Description of the intervention

The aim of treatment of chronic hepatitis C is to prevent complications of the hepatitis C infection. This is principally sought by eradication of the infection in the serum (Ghany 2009). Accordingly, treatment is aimed to achieve a virological response, defined as the absence of hepatitis C virus RNA in the blood serum, measured by a sensitive test six months after the end of treatment (that is, a sustained virological response). Monotherapy with interferon produces a sustained virological response in less than 20% of patients (Myers 2002). The introduction of combination therapy with interferon plus ribavirin was considered a major advance due to a greater effect on the sustained virological response in the blood (Brok 2005). The next improvement in chronic hepatitis C treatment was the development of direct‐acting antiviral (DAA) agents, boceprevir (BOC) and teleprevir (TVR). The two DAAs have demonstrated significant inhibition of hepatitis C virus (HCV) genotype 1 replication and markedly improved the sustained virological response rate (Ghany 2011). Unfortunately due to the high price of such a triple regimen it is still not affordable to patients in many countries. Furthermore, we do not have sufficient data about the efficacy of BOC and TVR in the treatment of HCV genotype 2 and 3 infections, which leaves pegylated interferon (peginterferon) plus ribavirin as the major treatment option for the majority of patients. Combination therapy with interferon and ribavirin produces a sustained virological response in approximately 40% of previously untreated patients (Brok 2005). The majority of randomised clinical trials primarily assess sustained virological response, which is a surrogate marker, instead of outcomes which might be of more interest for patients and clinicians such as all‐cause mortality, liver‐related morbidity, and progression to hepatocellular carcinoma (HCC) (Gluud 2007). Recently, some groups have published results of trials with longer duration of follow‐up of patients with advanced hepatitis C who achieved a sustained virological response (Fernandez‐ Rodriguez 2010; Morgan 2010; Di Biscceglie 2011). The authors reported marked reductions in liver‐related morbidity, no significant difference in liver‐related mortality, and a significantly higher mortality in those treated with long‐term peginterferon (Di Biscceglie 2011). Furthermore, we still lack data about adverse events, quality of life during the treatment, all‐cause morbidity and mortality due to suicide, anaemia, or infections. Therefore, sustained virological response should still be considered as a non‐validated surrogate outcome, that is, an outcome which should not be used to guide clinical decision making (Gluud 2007; Koretz 2013; Gurusamy 2014). A combination of weekly subcutaneous injections of long‐acting peginterferon alpha and oral ribavirin has achieved the highest overall sustained virological response rates of 56% (Ghany 2009). This still represents the standard of care for the majority of patients according to The American Association for the Study of Liver Diseases and European Association for the Study of Liver Disease guidelines (Ghany 2009; Ghany 2011; EASL 2012). However, approximately 75% of those treated with either peginterferon alpha or interferon alpha experience one or more adverse events (for example, influenza‐like symptoms, depression, neutropenia, thrombocytopenia, etc.) (Ghany 2009). Pegylation involves the addition of polyethylene glycol molecules to the interferon molecule, thus decreasing renal clearance, altering metabolism, and increasing the half life of the peginterferon molecule in the circulation. This necessitates fewer doses (Reddy 2001). Currently, there are two licensed products of peginterferon, peginterferon alpha‐2a (Pegasys®, Hoffmann‐La Roche), which consists of a 40 kDa branched pegylated chain linked to the interferon molecule (Bailon 2001), and peginterferon alpha‐2b (Peg‐Intron®, Schering‐Plough Corporation) consisting of a 12 kDa linear pegylated chain linked to the interferon molecule (Glue 2000; Foster 2004). In particular, pegylation reduces the rapid kidney clearance of a given protein by increasing its hydrodynamic volume, prevents immunogenicity by acting at different levels, reduces protein aggregation owing to a repulsion between pegylated surfaces, and increases the thermal stability of proteins (Pasut 2011). The pegylate and its conjugates are mainly excreted by kidney clearance and the excretion rate is significantly reduced for molecular weights over 40 kDa (Pasut 2011). The different mechanisms of the pegylated interferon induced different pharmacokinetic and pharmacodynamic properties include that peginterferon alpha‐2a has a higher molecular weight (40 kDa versus 12 kDa), a longer half‐life, a lower body distribution volume, and different routes of elimination because peginterferon alpha‐2a is mainly eliminated by the liver while peginterferon alpha‐2b is mainly eliminated by the kidney (Glue 2000; Bailon 2001; Foster 2004).

Why it is important to do this review

Lately, there has been considerable controversy over which treatment option of peginterferon is the most effective one (McHutchison 2009; Lee 2010; Kamal 2011; Miyase 2012). A large randomised clinical trial has recently concluded that the two peginterferons are comparable in both benefits and harms (McHutchison 2009) but the majority of other trials, although with smaller numbers of patients, conclude that there are significant differences between the two peginterferons (Kamal 2011; Mach 2011; Miyase 2012). However, findings from a single randomised trial, even a very large one, are rarely definitive and caution should be taken to ensure reproducibility of the findings (Lau 1995; Lacchetti 2002; Trikalinos 2004; Ioannidis 2005; Ioannidis 2005a; Thorlund 2009). Systematic reviews and meta‐analyses including all available trials are considered the highest level of evidence as they provide valuable information on the quality of the available evidence and provide the greatest statistical strength. Hence, the risks of systematic errors as well as random errors are smaller in systematic reviews than in single trials. We have, therefore, conducted a Cochrane Hepato‐Biliary Group systematic review to identify, assess, and analyse all randomised trials to add to the existing body of evidence and strengthen inferences about which peginterferon would work best with fewer possible harms to the patient. A previous version of this review that was published in Hepatology suggested that peginterferon alpha‐2a leads to a significantly higher proportion of patients with sustained virological response than with peginterferon alpha‐2b (Awad 2010), while the safety profile remained comparable. The present review provides an update with improved methodology and includes three more randomised clinical trials. There are several meta‐analyses that have been published recently which compare the efficacy and safety of the two pegylated interferons (Alavian 2010; Barros 2010c; Cheinquer 2010; Zhao 2010; Coppola 2011; Singal 2011; Druyits 2012; Romero‐Gomez 2012; Flori 2013; Yang 2013). Four of them have been published as abstracts only (Barros 2010c; Cheinquer 2010; Coppola 2011; Romero‐Gomez 2012) and despite the different numbers of included studies and different outcomes observed, their common conclusion is that pegylated interferon alpha‐2a has advances in terms of efficacy over the pegylated interferon alpha‐2b. Six meta‐analyses that were published as full papers uniformly report superior efficacy of pegylated interferon alpha‐2a over pegylated interferon alpha‐2b while the safety profile remains comparable for both treatments (Alavian 2010; Zhao 2010; Singal 2011; Druyits 2012; Flori 2013; Yang 2013). One meta‐analysis (Druyits 2012) is not comparable to ours because it has a different search strategy and inclusion criteria. The author did not assess the risk of bias and included studies which were not head‐to‐head comparisons. Four meta‐analyses (Alavian 2010; Zhao 2010; Singal 2011; Yang 2013) have similar search strategies and outcomes as in Awad 2010, but they included fewer trials and smaller numbers of patients. They included seven trials with 3518 patients (Alavian 2010); seven trials with 3212 patients (Zhao 2010); nine trials with 3546 patients (Singal 2011); and seven trials with 3668 patients (Yang 2013). They excluded conference abstracts or limited participants only to patients naive to previous antiviral intervention. However, results of those meta‐analyses are in concordance with our conclusions on the higher efficacy of pegylated interferon alpha‐2a and similar safety profile among the pegylated interferons (Awad 2010).

Objectives

To systematically evaluate the benefits and harms of peginterferon alpha‐2a versus peginterferon alpha‐2b for patients with chronic hepatitis C.

Methods

Criteria for considering studies for this review

Types of studies

We included randomised clinical trials irrespective of language, publication status, or year of publication for assessment of benefits and harms. We also included for assessment of harms quasi‐randomised studies and observational studies that were identified during our searches for randomised trials.

Types of participants

Patients with chronic hepatitis C were included. Patients could have been treatment naive (not previously treated with antivirals), relapsers (patients with a transient response to previous antiviral treatment), or non‐responders (patients without a response to previous antiviral treatment). We also included patients with comorbidities such as liver cirrhosis and human immunodeficiency virus (HIV) co‐infection. Patients who had undergone liver transplantation or were positive for chronic hepatitis B infection were excluded.

Types of interventions

Peginterferon alpha‐2a compared with peginterferon alpha‐2b given with or without co‐intervention(s) (for example, ribavirin, telaprevir) regardless of the dose or the duration of the interventions. Co‐interventions were permitted if received equally by all intervention groups and applied equally.

Types of outcome measures

Primary outcomes

  • All‐cause mortality.

  • Liver‐related morbidity: number of patients who developed ascites, variceal bleeding, progression of bilirubinaemia, hepatic encephalopathy, or hepatocellular carcinoma.

  • Adverse events: serious adverse events, adverse events leading to treatment discontinuation, and all other (non‐serious) adverse events. The number and type of adverse events are defined as patients with any untoward medical occurrence not necessarily having a causal relationship with the treatment. We defined serious adverse events according to the International Conference on Harmonisation (ICH) Guidelines (ICH‐GCP 1997) as "any event that leads to death, is life‐threatening, requires in‐patient hospitalisation or prolongation of existing hospitalisation, results in persistent or significant disability, and any important medical event, which may jeopardise the patient or requires intervention to prevent it". All other adverse events were considered non‐serious.

  • Quality of life as defined in the individual trials.

Secondary outcomes

  • Sustained virological response: number of patients with undetectable hepatitis C virus RNA in their serum by a sensitive test six months after the end of treatment.

Search methods for identification of studies

Electronic searches

We searched the Cochrane Hepato‐Biliary Group Controlled Trials Register (Gluud 2013), Cochrane Central Register of Controlled Trials (CENTRAL) in The Cochrane Library, MEDLINE, EMBASE, Science Citation Index Expanded (Royle 2003), and LILACS using the search strategies and time spans given in Appendix 1. The last search was conducted in October 2013.

Searching other resources

We identified further trials by searching national and topic‐specific databases, bibliographies, conference abstracts, journals, and the grey literature. Furthermore, we reviewed the reference lists of the other meta‐analyses and the included studies and contacted the principal authors of the identified trials if needed.

Data collection and analysis

We performed the review and meta‐analyses following the recommendations of The Cochrane Collaboration (Higgins 2011) and the Cochrane Hepato‐Biliary Group (Gluud 2013). The analyses were performed using Review Manager 5.1 (RevMan 2012) and Trial Sequential Analysis (TSA) version 0.9 (CTU 2011; Thorlund 2011).

Selection of studies

Two authors (GH and TA) independently screened titles and abstracts for potential eligibility and the full‐texts for final eligibility. Disagreements were resolved by discussion and arbitrated with a third author (CG).

Data extraction and management

Two authors (GH and TA) independently extracted data using a standardised data collection form to record trial design and methodological characteristics, patient characteristics, interventions, outcomes, and missing outcome data. Authors of included trials were contacted for additional information that was not described in the published reports. Disagreements were resolved by discussion and arbitration with a third author (CG). Any further information required from the original authors was requested by written correspondence and any relevant information obtained in this manner was included in the review.

Assessment of risk of bias in included studies

Trials with adequate generation of the allocation sequence, adequate allocation concealment, adequate blinding, adequate outcome data reporting, no selective outcome reporting, and without vested interests were considered as trials with low risk of bias (high methodological quality) (Schulz 1995; Moher 1998; Kjaergard 2001; Wood 2008; Lundh 2012; Savovic 2012; Savovic 2012a). Trials with one or more unclear or inadequate quality component were considered as trials with high risk of bias (low methodological quality) (Schulz 1995; Moher 1998; Kjaergard 2001; Wood 2008; Lundh 2012; Savovic 2012; Savovic 2012a). The methodological quality of the trials, hence risk of bias, was assessed based on the following domains.

Sequence generation

  • Low risk of bias: sequence generation was achieved using computer random number generation or a random number table. Drawing lots, tossing a coin, shuffling cards, and throwing dice are adequate if performed by an independent person not otherwise involved in the trial.

  • Uncertain risk of bias: the method of sequence generation was not specified.

  • High risk of bias: the sequence generation method was not random.

Allocation concealment

  • Low risk of bias: the participant allocations could not have been foreseen in advance of, or during, enrolment. Allocation was controlled by a central and independent randomisation unit. The allocation sequence was unknown to the investigators (for example, if the allocation sequence was hidden in sequentially numbered, opaque, and sealed envelopes).

  • Uncertain risk of bias: the method used to conceal the allocation was not described so that intervention allocations may have been foreseen in advance of, or during, enrolment.

  • High risk of bias: the allocation sequence was likely to be known to the investigators who assigned the participants.

Blinding of outcome assessors

  • Low risk of bias: blinding was performed adequately, or the assessment of outcomes was not likely to be influenced by lack of blinding.

  • Uncertain risk of bias: there was insufficient information to assess whether blinding was likely to induce bias on the results.

  • High risk of bias: no blinding or incomplete blinding, and the assessment of outcomes were likely to be influenced by lack of blinding.

Incomplete outcome data

  • Low risk of bias: missing data were unlikely to make treatment effects depart from plausible values. Sufficient methods, such as multiple imputation, have been employed to handle missing data.

  • Uncertain risk of bias: there was insufficient information to assess whether missing data in combination with the method used to handle missing data were likely to introduce bias in the results.

  • High risk of bias: the results were likely to be biased due to missing data.

Selective outcome reporting

  • Low risk of bias: all outcomes were predefined and reported, or all clinically relevant and reasonably expected outcomes were reported.

  • Uncertain risk of bias: it is unclear whether all predefined and clinically relevant and reasonably expected outcomes were reported.

  • High risk of bias: one or more clinically relevant and reasonably expected outcomes were not reported, and data on these outcomes were likely to have been recorded.

Other sources of bias

  • Low risk of bias: the trial appears to be free of other components (for example, academic bias) that could put it at risk of bias.

  • Uncertain risk of bias: the trial may or may not be free of other components that could put it at risk of bias.

  • High risk of bias: there are other factors in the trial that could put it at risk of bias (for example, authors have conducted trials on the same topic, etc).

All the above bias risk domains were assessed independently by two authors (GH and TA). Disagreements were resolved by discussion and arbitrated by a third author (CG). To minimise bias in our findings and recommendations, we used the Grading of Recommendations Assessment, Development, and Evaluation (GRADE) summary of findings (SoF) table for outcomes to rate the available evidence (Guyatt 2008).

Measures of treatment effect

Dichotomous data were expressed as risk ratios (RR) with 95% confidence intervals (CI). Furthermore, the number needed to treat (NNT) was derived from the risk differences (RD) in meta‐analyses where the 95% confidence interval did not include zero. Rare events (morbidity and mortality) were estimated using the odds ratios as a measure of association.

Dealing with missing data

We planned to perform all analyses according to the intention‐to‐treat method, including all participants irrespective of compliance or follow‐up. However, we performed analyses according to the intention‐to‐treat method only for dichotomous outcomes. For continuous outcomes we performed available case analysis and included data only on those whose results were known. Regarding the primary outcome measures we planned to include patients with incomplete or missing data in the sensitivity analyses by imputing them according to the two scenarios below (Hollis 1999; Gluud 2013).

  • 'Best‐worst' case scenario analyses: participants with missing outcome data are considered successes in the experimental group and failures in the control group. The denominator will include all the participants in the trial.

  • 'Worst‐best' case scenario analyses: participants with missing outcome data are considered failures in the experimental group and successes in the control group. The denominator will include all the participants in the trial.

For trials with missing data we assessed the adequacy of the methods used to deal with missing data. When patients were lost to follow‐up and missing data methods were not applied, data were analysed according to the intention‐to‐treat principle. The intention‐to‐treat analysis was performed assuming poor outcome in both groups where dropouts were considered as failures and the total number of patients was used as denominator.

Assessment of heterogeneity

Heterogeneity was explored by the Chi2 test, and the quantity of heterogeneity was measured by the I2 statistic (Higgins 2002;Higgins 2011). Sources of heterogeneity were assessed with subgroup analysis and meta‐regression whenever possible. Subgroup analyses were only carried out when data from at least two trials were available for each subgroup. Meta‐regression was only carried out for meta‐analyses including more than 10 trials. Sensitivity analyses were identified during the review process.

Assessment of reporting biases

Different types of reporting biases (for example, publication bias, time lag bias, outcome reporting bias, etc.) were handled following the recommendations of The Cochrane Collaboration (Higgins 2011). For continuous outcomes with intervention effects measured as mean difference, the test proposed by Egger 1997 was planned to be used to test for funnel plot asymmetry. For dichotomous outcomes with intervention effects measured as odds ratios, the arcsine test proposed by Rücker 2008 was planned to be used to test for funnel plot asymmetry. Due to sufficient trials (Higgins 2011) included in the meta‐analyses, we could perform the test for funnel plot asymmetry for two outcomes, namely adverse events leading to treatment discontinuation and sustained virological response.

Data synthesis

For all analyses, we used both random‐effects (DerSimonian 1986) and fixed‐effect model (DeMets 1987) analyses. Due to the underlying assumptive differences, results from the random‐effects model and the fixed‐effect model may differ to an extent that cannot be ignored. In case such discrepancies were observed, results were interpreted according to the implications of the subgroup and heterogeneity analyses, and according to the confidence intervals of the two models.

Assessment of risks of random errors (play of chance)

Random errors may play an important role in the evaluation of meta‐analyses due to sparse data and multiplicity from repetitive testing. To assess the reliability of inferences from our meta‐analysis on sustained virological response, we calculated the required information size which is the required sample size for the meta‐analysis to detect a 10% relative risk reduction in sustained virological response. We assumed an average event proportion of 50% in the control group, assuming that 30% of the variation in the meta‐analysis would be explained by variation across trials, and used statistical error levels of alpha = 5% and beta = 10% (90% power) or beta = 20% (80% power). Meta‐analyses conducted before surpassing the required sample size are considered analogous to interim analyses in a single randomised trial, and thus they necessitate adjustment of the threshold for statistical significance to maintain the predetermined maximum risk of obtaining a false positive result (set to alpha = 5% in our analysis). We, therefore, substituted the conventional 5% threshold for statistical significance with those of the Lan‐DeMets trial sequential monitoring boundaries (Bangalore 2008; Brok 2008; Rambaldi 2008; Wetterslev 2008; Brok 2009; Thorlund 2009). We used trial sequential analysis (CTU 2011; Thorlund 2011). On the basis of the required information size and risk for type I (5%) and type II (10% or 20%) errors, trial sequential monitoring boundaries were constructed (Brok 2008; Wetterslev 2008; Brok 2009; Thorlund 2009; Wetterslev 2009; Thorlund 2010). These boundaries determine the statistical inference one may draw regarding the cumulative meta‐analysis that has not reached the required information size. If a trial sequential monitoring boundary is crossed by the cumulative Z‐score before the required information size is reached in a cumulative meta‐analysis, firm evidence may have been established and further trials may be superfluous. On the other hand, if the boundaries are not surpassed, it is most probably necessary to continue doing further trials in order to detect or reject a certain intervention effect. We used as the default a type I error of 5%, type II error of 10% or 20%, and adjusted the information size for heterogeneity within diversity unless otherwise stated (Brok 2008; Wetterslev 2008; Brok 2009; Thorlund 2009; Wetterslev 2009; Thorlund 2010).

Subgroup analysis and investigation of heterogeneity

The following subgroup analyses were considered and performed when possible.

  • Risk of bias: trials that were assessed to be at low risk of bias compared to trials at high risk of bias.

  • Risk of detection bias: trials with blinded outcome assessment compared to trials without blinded outcome assessment.

  • Participants: trials with treatment‐naive patients compared to trials with relapsers or non‐responders.

  • Genotype: trials with patients infected with different hepatitis C virus genotypes were compared.

  • Co‐infections and comorbidities: patients with HIV, haemolytic disease, etc. compared to patients without any of these.

Sensitivity analysis

Suitable sensitivity analyses were identified during the review process. We did not plan specific sensitivity analyses but screened our results to examine if suitable sensitivity analyses could examine the robustness of our results. We conducted a sensitivity analysis excluding trials that included patients with HIV.

Results

Description of studies

Results of the search

We identified a total of 6638 references through electronic searches of the Cochrane Hepato‐Biliary Group Controlled Trials Register and Cochrane Central Register of Controlled Trials inThe Cochrane Library (n = 1663), MEDLINE (n = 1087), EMBASE (n = 2070), Science Citation Index Expanded (n = 1794), LILACS (n = 24), and in the reference lists of other meta‐analyses (n = 1) until October 2013. After removing 1906 duplicates, limiting the search to humans, the number of references in the final list was 4732. Reading the titles and abstracts of the remaining references we excluded clearly irrelevant references and, accordingly, 39 references were retrieved for further assessment. Twelve publications were excluded due to irrelevant outcome measures (for example, cost effectiveness analysis) or being a review article or a retrospective, non‐randomised study. Twenty‐seven publications describing 17 trials were eligible for inclusion in our meta‐analysis.

Included studies

Seventeen trials, published in 27 publications, fulfilled our inclusion criteria and included a total number of 5847 patients (Bruno 2004; Sinha 2004; Berak 2005; Silva 2006; Sporea 2006; Yenice 2006; Di Bisceglie 2007; Kolakowska 2008; Scotto 2008; Laguno 2009; McHutchison 2009;Ascione 2010; Rumi 2010; Kamal 2011; Mach 2011; Marcellin 2011; Miyase 2012). All trials compared peginterferon alpha‐2a (180 µg/week) versus peginterferon alpha‐2b (1.0 to 1.5 µg/kg/week). All trials administered ribavirin as a co‐intervention to both peginterferon groups. The dose of ribavirin was according to the weight of the patient, ranging from 800 mg to 1400 mg. One trial included telaprevir as a co‐intervention to both peginterferon groups (Marcellin 2011). The hepatitis C genotype of the included patients varied among the trials. Eleven trials included patients with no previous chronic hepatitis C treatment (naive patients) (Sinha 2004; Kolakowska 2008; Laguno 2009; McHutchison 2009; Ascione 2010; Rumi 2010; Kamal 2011; Mach 2011; Marcellin 2011; Miyase 2012) and two trials included non‐responders (Scotto 2008;Kamal 2011). Three trials included patients with a clear or unclear history of previous hepatitis C treatment (Berak 2005; Scotto 2008; Kamal 2011). One trial included patients with HIV co‐infection (Laguno 2009). Three trials were published in an abstract form only (Sinha 2004; Berak 2005; Kolakowska 2008).

Excluded studies

Fourteen publications were excluded for the reasons shown in the table 'Characteristics of excluded studies' (Excluded studies).

Risk of bias in included studies

All trials had one or more domains with high risk of bias. Accordingly, all information in our review originated from trials that were assessed as trials with high risk of bias (Figure 1; Figure 2). Eleven trials had sequence generation and nine had allocation concealment with low risk of bias. Blinding of the outcome assessors, however, was not clear in most of the trials. We considered this bias less important for the outcome sustained virological response. Two trials without risk of blinding bias reported results regarding sustained virological response (Kamal 2011; Miyase 2012). Incomplete outcome data were adequately addressed in 10 trials. It was difficult to assess selective outcome reporting due to the unavailability of the trial protocols. Most trials did not report on the primary outcomes of our review. Five trials had funding with possible conflict of interest (Bruno 2004; Silva 2006; Di Bisceglie 2007; McHutchison 2009; Marcellin 2011).


Methodological quality summary: review authors' judgements about each methodological quality item for each included trial.

Methodological quality summary: review authors' judgements about each methodological quality item for each included trial.


Methodological quality graph: review authors' judgements about each methodological quality item presented as percentages across all included trials.

Methodological quality graph: review authors' judgements about each methodological quality item presented as percentages across all included trials.

Effects of interventions

See: Summary of findings for the main comparison Peginterferon alpha‐2a versus peginterferon alpha‐2b for chronic hepatitis C

All‐cause mortality

Only one trial reported all‐cause mortality (McHutchison 2009). The authors reported 12 patients who died during the treatment or follow‐up period. Six patients died in the peginterferon alpha‐2a group and six patients died in the peginterferon alpha‐2b group (RR 1.97, 95% CI 0.64 to 6.08) (Analysis 1.1). Only two deaths were considered by the authors to be possibly related to the intervention drug: one person, who was treated with peginterferon alpha‐2b, committed suicide six months after the end of treatment; and another, who was treated with peginterferon alpha‐2a, died due to myocardial infarction. In order to detect or reject a RR reduction of 20%, the calculated required information size was n = 132,938 patients. Accordingly, we had less than 1% of the required information size, and we could not make any conclusions about the potential similarities or differences regarding the effects of the two peginterferons on all‐cause mortality.

Liver‐related morbidity

One trial with 36 patients reported on liver‐related morbidity (hyperbilirubinaemia) (Silva 2006). Six patients in the peginterferon alpha‐2a group and two patients in the peginterferon alpha‐2b group had hyperbilirubinaemia (RR 3.00, 95% CI 0.70 to12.93) (Analysis 1.2). In order to detect or reject a RR reduction of 20%, the required information size should be at least n = 1480 patients. This was far above the number we had in the included trials, and we could not make any firm conclusions about potential similarities or differences regarding the effects of the two peginterferons on liver‐related morbidity.

Adverse events

Serious adverse events

The authors of four trials reported serious adverse events according to the International Conference on Harmonisation (ICH) Guidelines (ICH‐GCP 1997) (Laguno 2009; McHutchison 2009; Rumi 2010; Kamal 2011). The proportion of patients with serious adverse events, in four trials, was quite low. In the trial which included HIV co‐infected patients, adverse events occurred in 55% of the patients (Laguno 2009). The meta‐analysis yielded a RR of 1.12 (95% CI 0.95 to 1.30) using the fixed ‐effect model (Analysis 1.3). Using RR as the measure of effect, the Cochran homogeneity test statistic yielded a P value of 0.78 and the heterogeneity was I2 = 0%. Because our meta‐analysis did not reach the required information size (n = 6115), we used trial sequential monitoring boundaries, calculated with TSA, to adjust the thresholds for statistical significance accordingly. Using the random‐effects model, the resulting cumulative test statistic (Z‐score) did not cross the adjusted threshold for statistical significance, thus yielding a non‐significant difference between the two peginterferons regarding serious adverse events (Figure 3).


Trial sequential analysis (TSA): peginterferon alpha‐2a versus peginterferon alpha‐2b on the outcome serious adverse events.
 The diversity‐adjusted required information size of n = 4799 patients was calculated based upon a proportion of 13.0% of patients with serious adverse events in the peginterferon alpha‐2b group, a relative risk reduction of 20% in peginterferon alpha‐2a group, an alpha (type I error) of 5%, a beta (type II error) of 20%, and a diversity (D) of 0%. The solid blue curve presents the cumulative meta‐analysis Z‐score and the inward sloping red curves present the two‐sided Lan‐DeMets trial sequential monitoring boundaries. The cumulative Z‐score reaches the area of futility delineated by the two trial sequential monitoring boundaries.

Trial sequential analysis (TSA): peginterferon alpha‐2a versus peginterferon alpha‐2b on the outcome serious adverse events.
The diversity‐adjusted required information size of n = 4799 patients was calculated based upon a proportion of 13.0% of patients with serious adverse events in the peginterferon alpha‐2b group, a relative risk reduction of 20% in peginterferon alpha‐2a group, an alpha (type I error) of 5%, a beta (type II error) of 20%, and a diversity (D) of 0%. The solid blue curve presents the cumulative meta‐analysis Z‐score and the inward sloping red curves present the two‐sided Lan‐DeMets trial sequential monitoring boundaries. The cumulative Z‐score reaches the area of futility delineated by the two trial sequential monitoring boundaries.

Adverse events leading to treatment discontinuation

The meta‐analysis of adverse events leading to treatment discontinuation, using data from 12 trials, yielded a RR of 0.84 (95% CI 0.57 to 1.22) using the random‐effects model (Analysis 1.4) (Bruno 2004; Sinha 2004; Berak 2005; Silva 2006; Yenice 2006; Di Bisceglie 2007; Scotto 2008; Laguno 2009; McHutchison 2009; Ascione 2010; Rumi 2010; Kamal 2011; Miyase 2012). Using RR as the measure of effect, the Cochran homogeneity test statistic yielded a P value of 0.05 and the heterogeneity was I2 = 44%. Due to funnel plot asymmetry we could not exclude possible bias (Figure 4).


Funnel plot of comparison: 1 Peginterferon alpha‐2a versus peginterferon alpha‐2b, outcome: 1.4. Adverse events leading to treatment discontinuation.

Funnel plot of comparison: 1 Peginterferon alpha‐2a versus peginterferon alpha‐2b, outcome: 1.4. Adverse events leading to treatment discontinuation.

Because our meta‐analysis did not reach the required information size (n = 12,382), we used trial sequential monitoring boundaries calculated with TSA to adjust the thresholds for statistical significance accordingly. Using the random‐effects model, the resulting cumulative test statistic (Z‐score) did not cross the adjusted threshold for statistical significance. The Z‐score crossed the trial sequential monitoring boundary for futility. Accordingly, we could reject a 20% difference in causation of adverse events leading to discontinuation of the treatment between the two peginterferons (Figure 5).


Trial sequential analysis (TSA): peginterferon alpha‐2a versus peginterferon alpha‐2b on the outcome adverse events leading to treatment discontinuation.
 The diversity‐adjusted required information size of n = 12,832 patients was calculated based upon a proportion of 9.0% of patients with treatment discontinuation in the peginterferon alpha‐2b group, a relative risk reduction of 20% in peginterferon alpha‐2a group, an alpha (type I error) of 5%, a beta (type II error) of 20%, and a diversity (D) of 81%. The solid blue curve presents the cumulative meta‐analysis Z‐score and the inward sloping red curves present the adjusted threshold for statistical significance according to the two‐sided Lan‐DeMets trial sequential monitoring boundaries. The cumulative Z‐score does not cross any of the monitoring boundaries and does not reach the area of futility delineated by the two trial sequential monitoring boundaries which are not even drawn by the program due to the fact that the distance between the acquired and the required information size is too large.

Trial sequential analysis (TSA): peginterferon alpha‐2a versus peginterferon alpha‐2b on the outcome adverse events leading to treatment discontinuation.
The diversity‐adjusted required information size of n = 12,832 patients was calculated based upon a proportion of 9.0% of patients with treatment discontinuation in the peginterferon alpha‐2b group, a relative risk reduction of 20% in peginterferon alpha‐2a group, an alpha (type I error) of 5%, a beta (type II error) of 20%, and a diversity (D) of 81%. The solid blue curve presents the cumulative meta‐analysis Z‐score and the inward sloping red curves present the adjusted threshold for statistical significance according to the two‐sided Lan‐DeMets trial sequential monitoring boundaries. The cumulative Z‐score does not cross any of the monitoring boundaries and does not reach the area of futility delineated by the two trial sequential monitoring boundaries which are not even drawn by the program due to the fact that the distance between the acquired and the required information size is too large.

Other (non‐serious) adverse events

In nine included trials, the authors reported on numerous adverse events not leading to treatment discontinuation (Silva 2006; Di Bisceglie 2007; Scotto 2008; Laguno 2009; McHutchison 2009; Ascione 2010; Rumi 2010; Kamal 2011; Miyase 2012) but which surely could have influenced adherence to the treatment protocol (Laguno 2009). Adverse events included haematological changes (for example, neutropenia, thrombocytopenia, and anaemia), psychological (for example, depression), and other systemic adverse events (for example, fatigue, headache, insomnia, fever, nausea, and dyspnoea). However, the reporting of adverse events not leading to treatment discontinuation was poor and inconsistent across all included trials and prevented any statistical analysis.

Assessing quality of life

Although quality of life is a very important outcome for the patients, it was rarely reported in the randomised clinical trials. Only one trial assessed quality of life in both treatment groups (peginterferon alpha‐2a versus peginterferon alpha‐2b) during and after the treatment (Kamal 2011). Using the Short Form 36 and Chronic Liver Disease Questionnaires (CLDQ), Kamal et al concluded that quality of life after the treatment was significantly better in the peginterferon alpha‐2a group than in the peginterferon alpha‐2b group regarding physical functioning, vitality, emotional role, bodily pain, and almost all domains of the CLDQ, overall score 5.9 versus 5.5 (P = 0.01) (peginterferon alpha‐2a versus peginterferon alpha‐2b).

Sustained virological response

The meta‐analysis using intention‐to‐treat analysis for sustained virological response included 12 trials assessing 5013 patients (Sinha 2004; Yenice 2006; Kolakowska 2008; Scotto 2008; Laguno 2009; McHutchison 2009; Ascione 2010; Rumi 2010; Kamal 2011; Mach 2011; Marcellin 2011; Miyase 2012) and yielded an estimated effect in favour of peginterferon alpha‐2a in the random‐effects model (RR 1.12, 95% CI 1.06 to 1.18) (Analysis 1.6). Using RR as the measure of effect, the Cochran homogeneity test statistic yielded a P value of 0.53 and the heterogeneity was I2 = 0%. The number needed to treat (NNT) to obtain an extra patient with a sustained virological response was estimated to be 25 patients (95% CI 14 to 100 patients).

A funnel plot of the included trials showed no significant asymmetry (Figure 6). For the outcome sustained virological response we estimated that the meta‐analysis needed to include a total of 5471 patients in order to detect or reject a RR reduction of 10%. We used trial sequential monitoring boundaries to assess statistical significance. Using the random‐effects model, the resulting cumulative test statistic (Z‐score) crossed the trial sequential monitoring boundary, thus yielding a robust statistically significant difference between the two peginterferons regarding sparse data and repetitive testing (Figure 7).


Funnel plot of comparison: Peginterferon alpha‐2a versus peginterferon alpha‐2b, outcome: 1.8 Sustained virological response.

Funnel plot of comparison: Peginterferon alpha‐2a versus peginterferon alpha‐2b, outcome: 1.8 Sustained virological response.


Trial sequential analysis (TSA): peginterferon alpha‐2a versus peginterferon alpha‐2b on the outcome sustained virological response. 
 The diversity‐adjusted required information size of n = 4257 patients was calculated based upon a proportion of 49.6 % of patients with sustained virological response in the peginterferon alpha‐2b group, a relative risk reduction of a 10% in peginterferon alpha‐2a group, an alpha (type I error) of 5%, a beta (type II error) of 10%, and a diversity (D) of 51%. The solid blue curve presents the cumulative meta‐analysis Z‐score and the inward sloping red curves present the adjusted threshold for statistical significance according to the two‐sided Lan‐DeMets trial sequential monitoring boundaries. The cumulative Z‐score reaches the area of futility (delineated by the two trial sequential monitoring boundaries), but then it crosses both the conventional significance boundary (two tailed P = 0.05) and the trial sequential monitoring boundary.

Trial sequential analysis (TSA): peginterferon alpha‐2a versus peginterferon alpha‐2b on the outcome sustained virological response.
The diversity‐adjusted required information size of n = 4257 patients was calculated based upon a proportion of 49.6 % of patients with sustained virological response in the peginterferon alpha‐2b group, a relative risk reduction of a 10% in peginterferon alpha‐2a group, an alpha (type I error) of 5%, a beta (type II error) of 10%, and a diversity (D) of 51%. The solid blue curve presents the cumulative meta‐analysis Z‐score and the inward sloping red curves present the adjusted threshold for statistical significance according to the two‐sided Lan‐DeMets trial sequential monitoring boundaries. The cumulative Z‐score reaches the area of futility (delineated by the two trial sequential monitoring boundaries), but then it crosses both the conventional significance boundary (two tailed P = 0.05) and the trial sequential monitoring boundary.

Subgroup and sensitivity analyses

Data from 10 trials of patients infected with hepatitis C genotype 1 and genotype 4 (Yenice 2006; Scotto 2008; Laguno 2009; McHutchison 2009; Ascione 2010; Rumi 2010; Kamal 2011; Mach 2011; Marcellin 2011; Miyase 2012) yielded a RR in favour of peginterferon alpha‐2a on the outcome sustained virological response (RR 1.15, 95% CI 1.06 to 1.26) using the random‐effects model (Analysis 2.1). Using RR as the measure of effect, the Cochran homogeneity test statistic yielded a P value of 0.0004 and the heterogeneity was I2 = 23% (Analysis 2.1). For sustained virological response in the genotype 1 and 4 infected patients, we estimated that for the required information size a meta‐analysis needed to include a total of n = 6375 patients to detect or reject a RR reduction of 10%. Because our present meta‐analysis did not reach the required information size, we used trial sequential monitoring boundaries to assess the risk of random error. Using the random‐effects model, the resulting cumulative test statistic (Z‐score) crossed the monitoring boundary, thus yielding a robust statistically significant difference between the two peginterferons (Figure 8).

Data from five trials of patients infected with hepatitis C genotype 2 and genotype 3 (Kolakowska 2008; Scotto 2008; Laguno 2009; Ascione 2010; Rumi 2010) yielded a RR in favour of peginterferon alpha‐2a on the outcome sustained virological response (RR 1.11, 95% CI 1.02 to 1.22) using the random‐effects model (Analysis 2.1). Using RR as the measure of effect, the Cochran homogeneity test statistic yielded a P value of 0.89 and the heterogeneity was I2 = 0% (Analysis 2.1). For sustained virological response in the genotype 2 and 3 infected patients, we estimated that a meta‐analysis needed to include a total of n = 1113 patients in order to detect or reject a RR reduction of 10%. Because our present meta‐analysis did not reach the required information size, we used trial sequential monitoring boundaries to assess the risk of random error. Using the random‐effects model, the resulting cumulative test statistic (Z‐score) did not cross any of the monitoring boundaries, thus showing that we may lack evidence in this subgroup (Figure 9).

Data from 11 trials of patients naive to previous antiviral intervention (Sinha 2004; Yenice 2006; Kolakowska 2008; Laguno 2009; McHutchison 2009; Ascione 2010; Rumi 2010; Kamal 2011; Mach 2011; Marcellin 2011; Miyase 2012) yielded a RR in favour of peginterferon alpha‐2a on the outcome sustained virological response (RR 1.12, 95% CI 1.06 to 1.18) using the random‐effects model (Analysis 2.2; Figure 10). Using RR as the measure of effect, the Cochran homogeneity test statistic yielded a P value of 0.0001 and the heterogeneity was I2 = 0% (Analysis 2.2). For sustained virological response in naive patients, we estimated that a required information size of 4083 patients was needed in order to detect or reject a RR of 10%. Because our present meta‐analysis did not reach the required information size, we used trial sequential monitoring boundaries to assess the risk of random error. Using the random‐effects model, the resulting cumulative test statistic (Z‐score) crossed the monitoring boundary, thus yielding a robust statistically significant difference between the two peginterferons. We used a funnel plot to explore the bias of the included trials and there was no significant asymmetry in the trials with naive patients (Figure 10).


Trial sequential analysis (TSA): peginterferon alpha‐2a versus peginterferon alpha‐2b on the two subgroup analysis sustained virological response in participants infected with hepatitis C genotype 1 and 4. 
 The diversity‐adjusted required information size of n = 6375 patients was calculated based upon a proportion of 44.9% of patients with sustained virological response in the peginterferon alpha‐2b group, a relative risk reduction of a 10% in peginterferon alpha‐2a group, an alpha (type I error) of 5%, a beta (type II error) of 10%, and a diversity (D) of 45%. The solid blue curve presents the cumulative meta‐analysis test Z‐score and the inward sloping red curves present the two‐sided Lan‐DeMets trial sequential monitoring boundaries. The cumulative Z‐score almost reaches the area of futility (delineated by the two trial sequential monitoring boundaries), but then it crosses both the conventional significance boundary (two tailed P = 0.05 ) and the trial sequential monitoring boundary.

Trial sequential analysis (TSA): peginterferon alpha‐2a versus peginterferon alpha‐2b on the two subgroup analysis sustained virological response in participants infected with hepatitis C genotype 1 and 4.
The diversity‐adjusted required information size of n = 6375 patients was calculated based upon a proportion of 44.9% of patients with sustained virological response in the peginterferon alpha‐2b group, a relative risk reduction of a 10% in peginterferon alpha‐2a group, an alpha (type I error) of 5%, a beta (type II error) of 10%, and a diversity (D) of 45%. The solid blue curve presents the cumulative meta‐analysis test Z‐score and the inward sloping red curves present the two‐sided Lan‐DeMets trial sequential monitoring boundaries. The cumulative Z‐score almost reaches the area of futility (delineated by the two trial sequential monitoring boundaries), but then it crosses both the conventional significance boundary (two tailed P = 0.05 ) and the trial sequential monitoring boundary.


Trial sequential analysis (TSA): peginterferon alpha‐2a versus peginterferon alpha‐2b on the two subgroup analysis sustained virological response in patients infected with hepatitis C genotype 2 and 3.The diversity‐adjusted required information size of n = 1113 patients was calculated based upon a proportion of 81.4% of patients with sustained virological response in the peginterferon alpha‐2b group, a relative risk reduction of a 10% in peginterferon alpha‐2a group, an alpha (type I error) of 5%, a beta (type II error) of 10%, and a diversity (D) of 0%. The solid blue curve presents the cumulative meta‐analysis Z‐score and the inward sloping red curves present the two‐sided Lan‐DeMets trial sequential monitoring boundaries. The cumulative Z‐score does not reach the area of futility (delineated by the two trial sequential monitoring boundaries), but it crosses the conventional significance boundary (two tailed P = 0.05). However, the cumulative Z‐score does not cross the trial sequential monitoring boundary.

Trial sequential analysis (TSA): peginterferon alpha‐2a versus peginterferon alpha‐2b on the two subgroup analysis sustained virological response in patients infected with hepatitis C genotype 2 and 3.The diversity‐adjusted required information size of n = 1113 patients was calculated based upon a proportion of 81.4% of patients with sustained virological response in the peginterferon alpha‐2b group, a relative risk reduction of a 10% in peginterferon alpha‐2a group, an alpha (type I error) of 5%, a beta (type II error) of 10%, and a diversity (D) of 0%. The solid blue curve presents the cumulative meta‐analysis Z‐score and the inward sloping red curves present the two‐sided Lan‐DeMets trial sequential monitoring boundaries. The cumulative Z‐score does not reach the area of futility (delineated by the two trial sequential monitoring boundaries), but it crosses the conventional significance boundary (two tailed P = 0.05). However, the cumulative Z‐score does not cross the trial sequential monitoring boundary.

Data from eight trials with low risk of randomisation bias (Sinha 2004; Scotto 2008; Laguno 2009; McHutchison 2009; Ascione 2010;Rumi 2010; Kamal 2011; Marcellin 2011) yielded a RR in favour of peginterferon alpha‐2a on sustained virological response (RR 1.12, 95% CI 1.05 to 1.20) using the random‐effects model (Analysis 2.3). Using RR as the measure of effect, the Cochran homogeneity test statistic yielded a P value of 0.34 and the heterogeneity was I2 = 13% (Analysis 2.3). Sustained virological response in the four trials with high risk of randomisation bias (Yenice 2006; Kolakowska 2008; Mach 2011; Miyase 2012) remained the same (RR 1.16, 95% CI 1.02 to 1.33) using the random‐effects model (Analysis 2.3). Using RR as the measure of effect, the Cochran homogeneity test statistic yielded a P value of 0.62 and the heterogeneity was I2 = 0% (Analysis 2.3). For the sustained virological response in the trials with low risk of randomisation bias, we estimated that a meta‐analysis needed to include a total of 5624 patients in order to detect or reject a RR reduction of 10%. Because our present meta‐analysis did not reach the required information size, we used trial sequential monitoring boundaries to assess the risk of random error. Using the random‐effects model, the resulting cumulative test statistic (Z‐score) reached the area of futility, thus yielding a robust statistically significant difference between the two peginterferons regarding sparse data and repetitive testing (Figure 10).


Trial sequential analysis (TSA): peginterferon alpha‐2a versus peginterferon alpha‐2b on the subgroup analysis on the outcome sustained virological response in trials with low risk of randomisation bias.
 The diversity‐adjusted required information size of n = 5,624 patients was calculated based upon a proportion of 42.4 % of patients with sustained virological response in the peginterferon alpha‐2b group, a relative risk reduction of a 10% in peginterferon alpha‐2a group, an alpha (type I error) of 5%, a beta (type II error) of 10%, and a diversity (D) of 71%. The solid blue curve presents the cumulative meta‐analysis Z‐score which reaches the area of futility (delineated by the two trial sequential monitoring boundaries), but then crosses both the conventional significance boundary (two tailed P = 0.05 not shown on the figure) and the trial sequential monitoring boundary.

Trial sequential analysis (TSA): peginterferon alpha‐2a versus peginterferon alpha‐2b on the subgroup analysis on the outcome sustained virological response in trials with low risk of randomisation bias.
The diversity‐adjusted required information size of n = 5,624 patients was calculated based upon a proportion of 42.4 % of patients with sustained virological response in the peginterferon alpha‐2b group, a relative risk reduction of a 10% in peginterferon alpha‐2a group, an alpha (type I error) of 5%, a beta (type II error) of 10%, and a diversity (D) of 71%. The solid blue curve presents the cumulative meta‐analysis Z‐score which reaches the area of futility (delineated by the two trial sequential monitoring boundaries), but then crosses both the conventional significance boundary (two tailed P = 0.05 not shown on the figure) and the trial sequential monitoring boundary.

A subgroup analysis in the two trials with low risk of bias according to blinding (Kamal 2011; Miyase 2012) yielded a RR in favour of peginterferon alpha‐2a on sustained virological response (RR 1.29, 95% CI 1.10 to 1.51) using the random‐effects model (Analysis 2.4). Using RR as the measure of effect, the Cochran homogeneity test statistic yielded a P value of 0.95 and the heterogeneity was I2 = 0% (Analysis 2.4). For sustained virological response in trials with low risk of bias according to blinding, we estimated that the needed required information size was 2079 patients in order to detect or reject a RR of 10%. Because our present meta‐analysis did not reach the required information size of 2079, we used trial sequential monitoring boundaries to assess the risk of random error. Using the random‐effects model, the resulting cumulative test statistic (Z‐score) did not break the monitoring boundaries, thus yielding no statistically significant difference between the two peginterferons (Figure 11).


Trial sequential analysis (TSA): peginterferon alpha‐2a versus peginterferon alpha‐2b on the subgroup analysis on the outcome sustained virological response in trials with low risk of blinding bias.
 The diversity‐adjusted required information size of n = 2079 patients was calculated based upon a proportion of 68% of patients with sustained virological response in the peginterferon alpha‐2b group, a relative risk reduction of a 10% in peginterferon alpha‐2a group, an alpha (type I error) of 5%, a beta (type II error) of 10%, and a diversity (D) of 0%. The solid blue curve presents the cumulative meta‐analysis Z‐score and the inward sloping red curves present the two‐sided Lan‐DeMets trial sequential monitoring boundaries. The trial sequential monitoring boundaries were not broken by the cumulative Z‐curve.

Trial sequential analysis (TSA): peginterferon alpha‐2a versus peginterferon alpha‐2b on the subgroup analysis on the outcome sustained virological response in trials with low risk of blinding bias.
The diversity‐adjusted required information size of n = 2079 patients was calculated based upon a proportion of 68% of patients with sustained virological response in the peginterferon alpha‐2b group, a relative risk reduction of a 10% in peginterferon alpha‐2a group, an alpha (type I error) of 5%, a beta (type II error) of 10%, and a diversity (D) of 0%. The solid blue curve presents the cumulative meta‐analysis Z‐score and the inward sloping red curves present the two‐sided Lan‐DeMets trial sequential monitoring boundaries. The trial sequential monitoring boundaries were not broken by the cumulative Z‐curve.

Ten trials which had a high risk of bias due to lack of blinding (Sinha 2004; Yenice 2006; Kolakowska 2008; Scotto 2008; Laguno 2009; McHutchison 2009; Ascione 2010; Rumi 2010; Mach 2011; Marcellin 2011) also yielded a RR in favour of peginterferon alpha‐2a on sustained virological response (RR 1.10, 95% CI 1.06 to 1.14). Using RR as the measure of effect, the Cochran homogeneity test statistic yielded a P value of 0.69 and the heterogeneity was I2 = 0% (Analysis 2.4). Excluding the trial that included patients with HIV co‐infection did not noticeably change the meta‐analysed estimate (Analysis 2.5).

Summary of findings

We constructed 'Summary of findings' table using The Grading of Recommendations Assessment, Development, and Evaluation guidelines (GRADE) (Guyatt 2008). The information provided on the 'Summary of findings' table shows that we are very uncertain regarding the effects of the interventions on all‐cause mortality, liver‐related morbidity, all other adverse events, and quality of life which we have judged to be of low or very low quality evidence (summary of findings Table for the main comparison). We have only low level confidence in the current evidence on harms measured as serious adverse events and adverse events leading to discontinuation of treatment for a number of different reasons. Furthermore, the table reveals that we had moderate confidence in the current evidence on treatment benefits measured as sustained virological response because all trial are with high risk of bias. The reason was that 5 out of 17 trials did not report on this outcome, raising suspicion of outcome reporting bias. Because the meta‐analysis for sustained virological response included 12 trials, we drew a funnel plot to explore bias and did not find significant asymmetry. The meta‐analysis included a seemingly reasonable mix of small and large trials yielding fairly consistent results, thus giving little concern regarding the presence of bias in the trials reporting the outcome (summary of findings Table for the main comparison).

Discussion

Summary of main results

In this systematic review we have summarised the available evidence from randomised clinical trials comparing peginterferon alpha‐2a versus peginterferon alpha‐2b, both given in combination with orally administered ribavirin administered in doses in accordance with the weight of the patient. Our results suggest that only one trial reported on mortality (McHutchison 2009); only one trial reported on liver‐related morbidity (Silva 2006); and no trial reported on liver‐related mortality. Therefore, our present knowledge regarding patient‐important outcomes is very sparse. Our results also suggest that the two peginterferons are comparable in regard to adverse events leading to treatment discontinuation and serious and non‐serious adverse events. However, evidence on adverse events is also sparse and the meta‐analysis on adverse events is likely to be underpowered to detect any significant differences. Likewise, evidence on quality of life was sparse. The combination of peginterferon alpha‐2a and weight‐based ribavirin may achieve a significantly higher sustained virological response than the combination of peginterferon alpha‐2b and weight‐based ribavirin.

Overall completeness and applicability of evidence

The GRADE (Guyatt 2008) summary of findings table reveals that, in general, we can have moderate confidence in the current evidence on treatment benefits measured as sustained virological response and we can only have low confidence in the current evidence on harms measured as all‐cause mortality, liver‐related morbidity, serious adverse events, and adverse events leading to treatment discontinuation (summary of findings Table for the main comparison). Information to assess the risk of bias was incomplete in a few trials with small numbers of participants. However, our sensitivity analyses did not show any important change in the intervention effects when we focused on trials with lower risk of bias. In our study, the trials that adequately reported on the trial methodology are large trials and they dominate the estimates of intervention effects from the meta‐analyses. Therefore, it is less likely that the pooled estimates are biased. In the meta‐analysis for sustained virological response, there were no serious inconsistencies across trials and the meta‐analysis crossed the Lan‐DeMets monitoring boundary (trial sequential monitoring boundary) leaving any random error less likely. The comparison of the largest trial (McHutchison 2009) with the second and third largest trials (Ascione 2010; Rumi 2010) yielded discrepancies however. The largest trial, which was funded by the manufacturer of peginterferon alpha‐2b, observed the smallest benefit of peginterferon alpha‐2a whereas the second and third largest trials both reported peginterferon alpha‐2a to be significantly superior to peginterferon alpha‐2b, and these trials were not funded by either of the two manufacturers. It is well known that industry bias may affect the outcomes and interpretation of trials (Als‐Nielsen 2003; Lexchin 2003; Lundh 2012).

Quality of the evidence

Because the meta‐analysis for sustained virological response included 12 trials, we drew a funnel plot to explore bias (Figure 6). There was no significant asymmetry. The meta‐analysis included a seemingly reasonable mix of small and large trials yielding fairly consistent results, which gives little concern about the presence of publication bias and other biases. When we included only trials without risk of bias due to other factors than lack of blinding, the results remained the same regarding sustained virological response. This effect did not pass the test of trial sequential analysis (Figure 11). However, we have some concerns in regard to indirectness. In the identified trials, virological response was the predominant measure of benefit. Many of the trials measured sustained virological response, which is currently the commonly used non‐validated surrogate outcome (Gluud 2007). Recent large cohort studies show a correlation between the presence of viraemia and mortality (Adeel 2009; Hirofumi 2009). However, it is important to remember that sustained virological response (and early virological response and end of treatment virological response) are still only non‐validated surrogate outcomes for antiviral intervention effects (Gluud 2007; Koretz 2013; Gurusamy 2014). We do not know the effects of the interventions on patient‐relevant outcomes (Gluud 2007). Because randomised clinical trials need to inform clinical practice, patient‐relevant outcomes such as risk of liver failure, hepatocellular carcinoma, and mortality would be of greater interest to patients and clinicians. Nevertheless, to be able to report on these outcomes, a much larger sample size and a follow‐up of several years would be required. Currently, no randomised clinical trials comparing the two peginterferons are of such a size or duration.

There were serious discrepancies across trials in the meta‐analysis on adverse events. The proportions of observed adverse events differed greatly across the trials, and the direction of effect was also heterogeneous. It is noteworthy that the IDEAL trial (McHutchison 2009) included three intervention groups, one for peginterferon alpha‐2a and two for peginterferon alpha‐2b. The two peginterferon alpha‐2b groups consisted of the usual 1.5 µg/kg/week dose and a low 1.0 µg/kg/week dose. The usual dose group yielded a similar proportion of adverse events as the peginterferon alpha‐2a group, whereas the low dose peginterferon alpha‐2b group yielded a lower proportion of the group with adverse events. Including or excluding the low dose peginterferon alpha‐2b group from the meta‐analysis had no visible impact on the estimated adverse events however. Furthermore, the meta‐analysis on adverse events leading to treatment discontinuation had low precision. The frequency of all other adverse events varied greatly among the included trials. In the majority of the included trials each patient had at least four to six adverse events during the treatment (Di Bisceglie 2007; Laguno 2009; Ascione 2010; Rumi 2010; Miyase 2012), but there are some trials where patients experienced no or only one adverse event (Scotto 2008; McHutchison 2009; Kamal 2011). Such a discrepancy in reporting adverse events imposes the necessity of uniform reporting of the adverse events in future trials. A post hoc calculation of the required information size to detect a minimally important difference of 10% relative risk reduction, based on the assumption of an average population risk of 10% and employing a 5% maximum type I error and 80% power, suggested that a minimum of 27,000 patients should be randomised to obtain a conclusive meta‐analysis on adverse events. The current number of patients in the meta‐analysis on adverse events is approximately 5000 (that is, less than 20% of what is required).

There have been some concerns regarding the non‐standardisation of the ribavirin dose across trials. The weight‐based dose of ribavirin ranged from 800 mg to 1400 mg. However, the weight cut‐off varied among trials as well as within the same trial. In the largest included trial (McHutchison 2009), patients weighing from 40 kg to 65 kg received a lower dose of ribavirin (800 mg) in the peginterferon alpha‐2b group compared with a higher dose of ribavirin (1000 mg) in the peginterferon alpha‐2a group. Patients in the peginterferon alpha‐2b group achieved a lower sustained virological response compared with patients in the peginterferon alpha‐2a group (39% versus 41%). Patients weighing more than 105 kg received a higher dose of ribavirin in the peginterferon alpha‐2b group (1400 mg) compared with a lower dose of ribavirin (1200 mg) in the peginterferon alpha‐2a group. Patients in the peginterferon alpha‐2b group achieved a slightly higher sustained virological response compared with patients in the peginterferon alpha‐2a group (43% versus 39%) (McHutchison 2009). It is also interesting that in the same trial, patients who developed anaemia and thus required ribavirin dose reduction achieved a higher sustained virological response than the patients who did not require a ribavirin dose reduction (McHutchison 2009). Accordingly, we do not think that the varying doses of ribavirin have any major confounding influence on our observations regarding the effects of the type of peginterferon. More research needs to be done to explore the optimal ribavirin dose. A ribavirin dose reduction due to adverse events was reported in only seven trials (Yenice 2006; Scotto 2008; McHutchison 2009; Ascione 2010; Rumi 2010; Kamal 2011; Miyase 2012). Six of these trials applied one and the same dose reduction to all trial groups (Yenice 2006; Scotto 2008; Ascione 2010; Rumi 2010; Kamal 2011; Miyase 2012). Only one trial applied a different ribavirin dose reduction to the intervention groups (McHutchison 2009). Our estimate did not change noticeably when we excluded the latter trial from our meta‐analysis for the outcome sustained virological response. 

Selective outcome reporting was difficult to assess in this review. Most of the included trials were not adequately registered or did not have their protocols publicly available prior to the trial completion. The risk of bias from selective reporting was considered low if the trial protocol was available and all of the pre‐specified outcomes that were of interest in the review were reported. It turned out that protocols were not available for all trials but two (McHutchison 2009; Kamal 2011). The outcomes reported in the protocols (sustained virological response and adverse events) matched the outcomes that were reported (McHutchison 2009; Kamal 2011). We also considered that low risk of reporting bias was present if the trial reported both the sustained virological response and adverse events. However, since the other primary outcomes that were of interest in this review related to morbidity and mortality and were rarely reported in any of the included trials, we could have chosen to assess all the trials as having high risk of reporting bias due to the lack of reporting of important, patient‐relevant outcomes. Hopefully, the initiation of the World Health Organization (WHO) International Clinical Trials Registry Platform coupled with timely and correct registrations of trials will facilitate such assessments for future trials (WHO 2009). Another limitation in this review was insufficient reporting of the included trials. Investigators of future trials are, therefore, well advised to adhere to the Standard Protocol Items: Recommendations for Interventional Trials (SPIRIT) guidelines (Chan 2013) and the Consolidated Standards for Reporting of Trials (CONSORT) (Moher 2012) in order to improve the quality of trial reports.

Potential biases in the review process

The strengths of this Cochrane Hepato‐Biliary Group systematic review are that it builds on a peer‐reviewed published protocol (Awad 2010), uses extensive searches until October 2013, considers the risks of systematic errors (bias, that is overestimation of benefits and underestimation of harms), and considers risks of random errors (play of chance) by adjusting the threshold for statistical significance according to the information and strength of evidence in the cumulative meta‐analysis.

A possible limitation is the unavailability of full reports of all the included trials. Two out of the 12 trials that provided data on sustained virological response for the meta‐analysis are only available as abstracts. However, we were able to successfully retrieve the necessary data for one of the two abstracts via e‐mail correspondence with the authors, and thus the risk of bias assessment of the included trial was carried out satisfactorily. Our sensitivity analyses did not show any important changes in our results whether including or excluding the trials. In our review, the trials that were published as a full paper are large and dominated the meta‐analysed estimates of effects. Moreover, empirical evidence suggests that trials that fail to refute the null hypothesis have lower odds of getting published, especially those not funded by industry (Als‐Nielsen 2003; Lee 2008; Hopewell 2009). Thus, many of the included abstracts may have a low probability of getting published as full articles. In fact, including these abstracts in our systematic review may likely be a strength rather than a limitation. By including abstracts we consider the complete available body of evidence. By excluding abstracts we would only obtain a subset that is defined through present‐day biased publication mechanisms. This would considerably increase the likelihood of publication bias. These potential limitations and concerns may lower our confidence in the estimates of intervention effect. However, in our meta‐analysis of sustained virological response there is no apparent heterogeneity (I2 = 0%) and the direction of the treatment effect is the same across all included trials. Further research is unlikely to change our confidence in the estimate of the effect. It is a common misconception that large randomised trials are generally more reliable than meta‐analyses. The reason this misconception has prevailed is due to a number of highly cited papers that compared large trials with low risk of bias to meta‐analyses of small trials with high risk of bias. This is of course an unfair comparison. In empirical studies where large trials with low risk of bias are compared to a meta‐analysis of small trials with low risk of bias, the results from the two are typically non‐discrepant. In the case of the IDEAL trial (McHutchison 2009), the results still show an effect, albeit small, in favour of peginterferon alpha‐2a. There are many examples of large trials that, merely by the play of chance, underestimate (or overestimate) the true treatment effect.

Agreements and disagreements with other studies or reviews

There are several meta‐analyses that have been published recently which compare the efficacy and safety of the two pegylated interferons (Alavian 2010; Barros 2010c; Cheinquer 2010; Zhao 2010; Coppola 2011; Singal 2011; Druyits 2012; Romero‐Gomez 2012; Flori 2013; Yang 2013). Four of them have been published as abstracts only (Barros 2010c; Cheinquer 2010; Coppola 2011; Romero‐Gomez 2012) and, despite the different numbers of included studies, the common conclusion is that pegylated interferon alpha‐2a has advances over pegylated interferon alpha‐2b. Six meta‐analyses that were published as full papers (Alavian 2010; Zhao 2010; Singal 2011; Druyits 2012; Flori 2013; Yang 2013) also uniformly report the superior efficacy of pegylated interferon alpha‐2a over pegylated interferon alpha‐2b while the safety profile remains similar for both treatments. Two meta‐analyses are not comparable to ours because of the different search strategy and inclusion criteria in one (Druyits 2012) and because non‐randomised trials were included for assessment of benefits in the other (Flori 2013). The authors did not assess the risk of bias of the included trials (Druyits 2012). The other four meta‐analyses have similar search strategies and outcomes as ours but included both fewer trials and smaller number of patients (Alavian 2010; Zhao 2010; Singal 2011; Yang 2013). They excluded conference abstracts or limited the participants to only naive patients. The conclusions of those three meta‐analyses are in concordance with our conclusions on the higher efficacy of pegylated interferon alpha‐2a on sustained virological response and comparable safety profile with pegylated interferon alpha‐2b.

Current evidence suggests that peginterferon alpha‐2a is significantly better than peginterferon alpha‐2b regarding sustained virological response, which is the clearance of the virus from the blood. However, there is insufficient evidence to detect any differences regarding effects on clinical outcomes (liver complications and mortality) as well as harms (adverse events). Future trials need to study the correlation between sustained virological response and risk of cirrhosis, hepatocellular carcinoma, and mortality.

Methodological quality summary: review authors' judgements about each methodological quality item for each included trial.
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Figure 1

Methodological quality summary: review authors' judgements about each methodological quality item for each included trial.

Methodological quality graph: review authors' judgements about each methodological quality item presented as percentages across all included trials.
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Figure 2

Methodological quality graph: review authors' judgements about each methodological quality item presented as percentages across all included trials.

Trial sequential analysis (TSA): peginterferon alpha‐2a versus peginterferon alpha‐2b on the outcome serious adverse events.
 The diversity‐adjusted required information size of n = 4799 patients was calculated based upon a proportion of 13.0% of patients with serious adverse events in the peginterferon alpha‐2b group, a relative risk reduction of 20% in peginterferon alpha‐2a group, an alpha (type I error) of 5%, a beta (type II error) of 20%, and a diversity (D) of 0%. The solid blue curve presents the cumulative meta‐analysis Z‐score and the inward sloping red curves present the two‐sided Lan‐DeMets trial sequential monitoring boundaries. The cumulative Z‐score reaches the area of futility delineated by the two trial sequential monitoring boundaries.
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Figure 3

Trial sequential analysis (TSA): peginterferon alpha‐2a versus peginterferon alpha‐2b on the outcome serious adverse events.
The diversity‐adjusted required information size of n = 4799 patients was calculated based upon a proportion of 13.0% of patients with serious adverse events in the peginterferon alpha‐2b group, a relative risk reduction of 20% in peginterferon alpha‐2a group, an alpha (type I error) of 5%, a beta (type II error) of 20%, and a diversity (D) of 0%. The solid blue curve presents the cumulative meta‐analysis Z‐score and the inward sloping red curves present the two‐sided Lan‐DeMets trial sequential monitoring boundaries. The cumulative Z‐score reaches the area of futility delineated by the two trial sequential monitoring boundaries.

Funnel plot of comparison: 1 Peginterferon alpha‐2a versus peginterferon alpha‐2b, outcome: 1.4. Adverse events leading to treatment discontinuation.
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Figure 4

Funnel plot of comparison: 1 Peginterferon alpha‐2a versus peginterferon alpha‐2b, outcome: 1.4. Adverse events leading to treatment discontinuation.

Trial sequential analysis (TSA): peginterferon alpha‐2a versus peginterferon alpha‐2b on the outcome adverse events leading to treatment discontinuation.
 The diversity‐adjusted required information size of n = 12,832 patients was calculated based upon a proportion of 9.0% of patients with treatment discontinuation in the peginterferon alpha‐2b group, a relative risk reduction of 20% in peginterferon alpha‐2a group, an alpha (type I error) of 5%, a beta (type II error) of 20%, and a diversity (D) of 81%. The solid blue curve presents the cumulative meta‐analysis Z‐score and the inward sloping red curves present the adjusted threshold for statistical significance according to the two‐sided Lan‐DeMets trial sequential monitoring boundaries. The cumulative Z‐score does not cross any of the monitoring boundaries and does not reach the area of futility delineated by the two trial sequential monitoring boundaries which are not even drawn by the program due to the fact that the distance between the acquired and the required information size is too large.
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Figure 5

Trial sequential analysis (TSA): peginterferon alpha‐2a versus peginterferon alpha‐2b on the outcome adverse events leading to treatment discontinuation.
The diversity‐adjusted required information size of n = 12,832 patients was calculated based upon a proportion of 9.0% of patients with treatment discontinuation in the peginterferon alpha‐2b group, a relative risk reduction of 20% in peginterferon alpha‐2a group, an alpha (type I error) of 5%, a beta (type II error) of 20%, and a diversity (D) of 81%. The solid blue curve presents the cumulative meta‐analysis Z‐score and the inward sloping red curves present the adjusted threshold for statistical significance according to the two‐sided Lan‐DeMets trial sequential monitoring boundaries. The cumulative Z‐score does not cross any of the monitoring boundaries and does not reach the area of futility delineated by the two trial sequential monitoring boundaries which are not even drawn by the program due to the fact that the distance between the acquired and the required information size is too large.

Funnel plot of comparison: Peginterferon alpha‐2a versus peginterferon alpha‐2b, outcome: 1.8 Sustained virological response.
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Figure 6

Funnel plot of comparison: Peginterferon alpha‐2a versus peginterferon alpha‐2b, outcome: 1.8 Sustained virological response.

Trial sequential analysis (TSA): peginterferon alpha‐2a versus peginterferon alpha‐2b on the outcome sustained virological response. 
 The diversity‐adjusted required information size of n = 4257 patients was calculated based upon a proportion of 49.6 % of patients with sustained virological response in the peginterferon alpha‐2b group, a relative risk reduction of a 10% in peginterferon alpha‐2a group, an alpha (type I error) of 5%, a beta (type II error) of 10%, and a diversity (D) of 51%. The solid blue curve presents the cumulative meta‐analysis Z‐score and the inward sloping red curves present the adjusted threshold for statistical significance according to the two‐sided Lan‐DeMets trial sequential monitoring boundaries. The cumulative Z‐score reaches the area of futility (delineated by the two trial sequential monitoring boundaries), but then it crosses both the conventional significance boundary (two tailed P = 0.05) and the trial sequential monitoring boundary.
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Figure 7

Trial sequential analysis (TSA): peginterferon alpha‐2a versus peginterferon alpha‐2b on the outcome sustained virological response.
The diversity‐adjusted required information size of n = 4257 patients was calculated based upon a proportion of 49.6 % of patients with sustained virological response in the peginterferon alpha‐2b group, a relative risk reduction of a 10% in peginterferon alpha‐2a group, an alpha (type I error) of 5%, a beta (type II error) of 10%, and a diversity (D) of 51%. The solid blue curve presents the cumulative meta‐analysis Z‐score and the inward sloping red curves present the adjusted threshold for statistical significance according to the two‐sided Lan‐DeMets trial sequential monitoring boundaries. The cumulative Z‐score reaches the area of futility (delineated by the two trial sequential monitoring boundaries), but then it crosses both the conventional significance boundary (two tailed P = 0.05) and the trial sequential monitoring boundary.

Trial sequential analysis (TSA): peginterferon alpha‐2a versus peginterferon alpha‐2b on the two subgroup analysis sustained virological response in participants infected with hepatitis C genotype 1 and 4. 
 The diversity‐adjusted required information size of n = 6375 patients was calculated based upon a proportion of 44.9% of patients with sustained virological response in the peginterferon alpha‐2b group, a relative risk reduction of a 10% in peginterferon alpha‐2a group, an alpha (type I error) of 5%, a beta (type II error) of 10%, and a diversity (D) of 45%. The solid blue curve presents the cumulative meta‐analysis test Z‐score and the inward sloping red curves present the two‐sided Lan‐DeMets trial sequential monitoring boundaries. The cumulative Z‐score almost reaches the area of futility (delineated by the two trial sequential monitoring boundaries), but then it crosses both the conventional significance boundary (two tailed P = 0.05 ) and the trial sequential monitoring boundary.
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Figure 8

Trial sequential analysis (TSA): peginterferon alpha‐2a versus peginterferon alpha‐2b on the two subgroup analysis sustained virological response in participants infected with hepatitis C genotype 1 and 4.
The diversity‐adjusted required information size of n = 6375 patients was calculated based upon a proportion of 44.9% of patients with sustained virological response in the peginterferon alpha‐2b group, a relative risk reduction of a 10% in peginterferon alpha‐2a group, an alpha (type I error) of 5%, a beta (type II error) of 10%, and a diversity (D) of 45%. The solid blue curve presents the cumulative meta‐analysis test Z‐score and the inward sloping red curves present the two‐sided Lan‐DeMets trial sequential monitoring boundaries. The cumulative Z‐score almost reaches the area of futility (delineated by the two trial sequential monitoring boundaries), but then it crosses both the conventional significance boundary (two tailed P = 0.05 ) and the trial sequential monitoring boundary.

Trial sequential analysis (TSA): peginterferon alpha‐2a versus peginterferon alpha‐2b on the two subgroup analysis sustained virological response in patients infected with hepatitis C genotype 2 and 3.The diversity‐adjusted required information size of n = 1113 patients was calculated based upon a proportion of 81.4% of patients with sustained virological response in the peginterferon alpha‐2b group, a relative risk reduction of a 10% in peginterferon alpha‐2a group, an alpha (type I error) of 5%, a beta (type II error) of 10%, and a diversity (D) of 0%. The solid blue curve presents the cumulative meta‐analysis Z‐score and the inward sloping red curves present the two‐sided Lan‐DeMets trial sequential monitoring boundaries. The cumulative Z‐score does not reach the area of futility (delineated by the two trial sequential monitoring boundaries), but it crosses the conventional significance boundary (two tailed P = 0.05). However, the cumulative Z‐score does not cross the trial sequential monitoring boundary.
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Figure 9

Trial sequential analysis (TSA): peginterferon alpha‐2a versus peginterferon alpha‐2b on the two subgroup analysis sustained virological response in patients infected with hepatitis C genotype 2 and 3.The diversity‐adjusted required information size of n = 1113 patients was calculated based upon a proportion of 81.4% of patients with sustained virological response in the peginterferon alpha‐2b group, a relative risk reduction of a 10% in peginterferon alpha‐2a group, an alpha (type I error) of 5%, a beta (type II error) of 10%, and a diversity (D) of 0%. The solid blue curve presents the cumulative meta‐analysis Z‐score and the inward sloping red curves present the two‐sided Lan‐DeMets trial sequential monitoring boundaries. The cumulative Z‐score does not reach the area of futility (delineated by the two trial sequential monitoring boundaries), but it crosses the conventional significance boundary (two tailed P = 0.05). However, the cumulative Z‐score does not cross the trial sequential monitoring boundary.

Trial sequential analysis (TSA): peginterferon alpha‐2a versus peginterferon alpha‐2b on the subgroup analysis on the outcome sustained virological response in trials with low risk of randomisation bias.
 The diversity‐adjusted required information size of n = 5,624 patients was calculated based upon a proportion of 42.4 % of patients with sustained virological response in the peginterferon alpha‐2b group, a relative risk reduction of a 10% in peginterferon alpha‐2a group, an alpha (type I error) of 5%, a beta (type II error) of 10%, and a diversity (D) of 71%. The solid blue curve presents the cumulative meta‐analysis Z‐score which reaches the area of futility (delineated by the two trial sequential monitoring boundaries), but then crosses both the conventional significance boundary (two tailed P = 0.05 not shown on the figure) and the trial sequential monitoring boundary.
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Figure 10

Trial sequential analysis (TSA): peginterferon alpha‐2a versus peginterferon alpha‐2b on the subgroup analysis on the outcome sustained virological response in trials with low risk of randomisation bias.
The diversity‐adjusted required information size of n = 5,624 patients was calculated based upon a proportion of 42.4 % of patients with sustained virological response in the peginterferon alpha‐2b group, a relative risk reduction of a 10% in peginterferon alpha‐2a group, an alpha (type I error) of 5%, a beta (type II error) of 10%, and a diversity (D) of 71%. The solid blue curve presents the cumulative meta‐analysis Z‐score which reaches the area of futility (delineated by the two trial sequential monitoring boundaries), but then crosses both the conventional significance boundary (two tailed P = 0.05 not shown on the figure) and the trial sequential monitoring boundary.

Trial sequential analysis (TSA): peginterferon alpha‐2a versus peginterferon alpha‐2b on the subgroup analysis on the outcome sustained virological response in trials with low risk of blinding bias.
 The diversity‐adjusted required information size of n = 2079 patients was calculated based upon a proportion of 68% of patients with sustained virological response in the peginterferon alpha‐2b group, a relative risk reduction of a 10% in peginterferon alpha‐2a group, an alpha (type I error) of 5%, a beta (type II error) of 10%, and a diversity (D) of 0%. The solid blue curve presents the cumulative meta‐analysis Z‐score and the inward sloping red curves present the two‐sided Lan‐DeMets trial sequential monitoring boundaries. The trial sequential monitoring boundaries were not broken by the cumulative Z‐curve.
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Figure 11

Trial sequential analysis (TSA): peginterferon alpha‐2a versus peginterferon alpha‐2b on the subgroup analysis on the outcome sustained virological response in trials with low risk of blinding bias.
The diversity‐adjusted required information size of n = 2079 patients was calculated based upon a proportion of 68% of patients with sustained virological response in the peginterferon alpha‐2b group, a relative risk reduction of a 10% in peginterferon alpha‐2a group, an alpha (type I error) of 5%, a beta (type II error) of 10%, and a diversity (D) of 0%. The solid blue curve presents the cumulative meta‐analysis Z‐score and the inward sloping red curves present the two‐sided Lan‐DeMets trial sequential monitoring boundaries. The trial sequential monitoring boundaries were not broken by the cumulative Z‐curve.

Comparison 1 Peginterferon alpha‐2a versus peginterferon alpha‐2b, Outcome 1 All‐cause mortality.
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Analysis 1.1

Comparison 1 Peginterferon alpha‐2a versus peginterferon alpha‐2b, Outcome 1 All‐cause mortality.

Comparison 1 Peginterferon alpha‐2a versus peginterferon alpha‐2b, Outcome 2 Liver‐related morbidity.
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Analysis 1.2

Comparison 1 Peginterferon alpha‐2a versus peginterferon alpha‐2b, Outcome 2 Liver‐related morbidity.

Comparison 1 Peginterferon alpha‐2a versus peginterferon alpha‐2b, Outcome 3 Serious adverse events.
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Analysis 1.3

Comparison 1 Peginterferon alpha‐2a versus peginterferon alpha‐2b, Outcome 3 Serious adverse events.

Comparison 1 Peginterferon alpha‐2a versus peginterferon alpha‐2b, Outcome 4 Adverse events leading to treatment discontinuation.
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Analysis 1.4

Comparison 1 Peginterferon alpha‐2a versus peginterferon alpha‐2b, Outcome 4 Adverse events leading to treatment discontinuation.

Comparison 1 Peginterferon alpha‐2a versus peginterferon alpha‐2b, Outcome 5 All other (non serious) adverse events.
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Analysis 1.5

Comparison 1 Peginterferon alpha‐2a versus peginterferon alpha‐2b, Outcome 5 All other (non serious) adverse events.

Comparison 1 Peginterferon alpha‐2a versus peginterferon alpha‐2b, Outcome 6 Sustained virological response.
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Analysis 1.6

Comparison 1 Peginterferon alpha‐2a versus peginterferon alpha‐2b, Outcome 6 Sustained virological response.

Comparison 2 Subgroup analysis, Outcome 1 Sustained virological response according to genotype.
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Analysis 2.1

Comparison 2 Subgroup analysis, Outcome 1 Sustained virological response according to genotype.

Comparison 2 Subgroup analysis, Outcome 2 Sustanied virological response according to treatment history.
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Analysis 2.2

Comparison 2 Subgroup analysis, Outcome 2 Sustanied virological response according to treatment history.

Comparison 2 Subgroup analysis, Outcome 3 Sustained virological response according to risk of bias from randomisation.
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Analysis 2.3

Comparison 2 Subgroup analysis, Outcome 3 Sustained virological response according to risk of bias from randomisation.

Comparison 2 Subgroup analysis, Outcome 4 Sustained virological response according to risk of bias from blinding.
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Analysis 2.4

Comparison 2 Subgroup analysis, Outcome 4 Sustained virological response according to risk of bias from blinding.

Comparison 2 Subgroup analysis, Outcome 5 Sustained virological response in patients without HIV co‐infection.
Figuras y tablas -
Analysis 2.5

Comparison 2 Subgroup analysis, Outcome 5 Sustained virological response in patients without HIV co‐infection.

Summary of findings for the main comparison. Peginterferon alpha‐2a versus peginterferon alpha‐2b for chronic hepatitis C

Peginterferon alpha‐2a versus peginterferon alpha‐2b for chronic hepatitis C

Patient or population: patients with chronic hepatitis C.
Settings: mainly out‐patients in tertiary and teaching hospitals.
Intervention: peginterferon alpha‐2a versus peginterferon alpha‐2b.

Outcomes

Illustrative comparative risks* (95% CI)

Relative effect
(95% CI)

No of participants
(trials)

Quality of the evidence
(GRADE)

Comments

Assumed risk

Corresponding risk

Peginterferon alpha‐2b

Peginterferon alpha‐2a

All‐cause mortality
Deaths during and after the treatment
Follow‐up: 48 to 72 weeks

Study population

RR 1.97
(0.64 to 6.08)

3070
(1 study)

⊕⊝⊝⊝
very low1,2

3 per 1000

6 per 1000
(2 to 18)

Moderate

3 per 1000

6 per 1000
(2 to 18)

Liver‐related morbidity
Number of events
Follow‐up: 8 weeks

Study population

RR 3
(0.7 to 12.93)

36
(1 study)

⊕⊝⊝⊝
very low2

111 per 1000

333 per 1000
(78 to 1000)

Moderate

111 per 1000

333 per 1000
(78 to 1000)

Serious adverse events
Number of events
Follow‐up: 48 to 72 weeks

Study population

RR 1.12
(0.95 to 1.3)

3900
(4 studies)

⊕⊕⊝⊝
low3,4

114 per 1000

127 per 1000
(108 to 148)

Moderate

70 per 1000

78 per 1000
(66 to 91)

Adverse events leading to treatment discontinuation
Number of events
Follow‐up: 48‐72 weeks

Study population

RR 0.84
(0.57 to 1.22)

5340
(12 studies)

⊕⊕⊝⊝
low1,4,5,6

99 per 1000

83 per 1000
(56 to 120)

Moderate

80 per 1000

67 per 1000
(46 to 98)

All other (non‐serious) adverse events
Follow‐up: 48 to 72 weeks

See comment

See comment

Not estimable

4981
(9 studies)

⊕⊝⊝⊝
very low4,5,6

Quality of life
SF 36 and CLDQ
Follow‐up: 48 to 71 weeks

See comment

See comment

434
(1 study)

⊕⊝⊝⊝
very low7,8

Sustained virological response
Absence of viraemia 24 weeks after the treatment
Follow‐up: 48 to 72 weeks

Study population

RR 1.12
(1.06 to 1.18)

5013
(12 studies)

⊕⊕⊕⊝9,10
moderate

421 per 1000

480 per 1000
(451 to 510)

Moderate

510 per 1000

581 per 1000
(546 to 617)

*The basis for the assumed risk (e.g. the median control group risk across studies) is provided in footnotes. The corresponding risk (and its 95% confidence interval) is based on the assumed risk in the comparison group and the relative effect of the intervention (and its 95% CI).
CI: Confidence interval; RR: Risk ratio.

GRADE Working Group grades of evidence
High quality: Further research is very unlikely to change our confidence in the estimate of effect.
Moderate quality: Further research is likely to have an important impact on our confidence in the estimate of effect and may change the estimate.
Low quality: Further research is very likely to have an important impact on our confidence in the estimate of effect and is likely to change the estimate.
Very low quality: We are very uncertain about the estimate.

1 The trial is at low risk of bias due to the allocation sequence generation and allocation concealment.
2Data from only one trial, wide confidence interval. Incomplete outcome data. Very low due to imprecision.
3Post hoc required information size calculation based on a 10% risk of adverse events in the peginterferon alpha‐2b group, a minimally important difference of 10%, a 5% type I error, and a 80% power, suggests that a minimum of 27,000 patients need to be randomised for a conclusive meta‐analysis on adverse events. The current number of patients is only approximately 5000.
4Wide confidence interval. Low due to imprecision.
5Trials yield widely differing estimates of effect. Low due to imprecision.
6 Reporting of all other adverse events was poor and inconsistent across all included trials. The proportions of observed adverse events differ substantially across the trials, and the direction of effect is heterogeneous. Because the event proportion is relatively low across all trials, all of the included trials may be subject to considerable random errors, thus explaining the apparent heterogeneity in direction of estimates.
7 Data from only one trial. Low due to imprecision
8 Investigators fail to report the details necessary for calculating the effect estimate of the quality of life assessment. Very low due to imprecision.
9Sustained virological response does not seem to be a valid surrogate marker for assessing HCV treatment efficacy of interferon retreatment. Moderate quality of evidence due to indirectness due to surrogate and risk of bias.
10All trials are with high risk of bias. Sensitivity analyses did not show any important change in the intervention effects when we focused on trials with lower risk of bias.

Figuras y tablas -
Summary of findings for the main comparison. Peginterferon alpha‐2a versus peginterferon alpha‐2b for chronic hepatitis C
Comparison 1. Peginterferon alpha‐2a versus peginterferon alpha‐2b

Outcome or subgroup title

No. of studies

No. of participants

Statistical method

Effect size

1 All‐cause mortality Show forest plot

1

3070

Risk Ratio (M‐H, Fixed, 95% CI)

1.97 [0.64, 6.08]

2 Liver‐related morbidity Show forest plot

1

36

Risk Ratio (M‐H, Fixed, 95% CI)

3.0 [0.70, 12.93]

3 Serious adverse events Show forest plot

4

3900

Risk Ratio (M‐H, Random, 95% CI)

1.12 [0.95, 1.30]

4 Adverse events leading to treatment discontinuation Show forest plot

12

5340

Risk Ratio (IV, Random, 95% CI)

0.84 [0.57, 1.22]

5 All other (non serious) adverse events Show forest plot

9

4981

Mean Difference (IV, Random, 95% CI)

0.0 [0.0, 0.0]

6 Sustained virological response Show forest plot

12

5174

Risk Ratio (M‐H, Random, 95% CI)

1.12 [1.06, 1.18]

Figuras y tablas -
Comparison 1. Peginterferon alpha‐2a versus peginterferon alpha‐2b
Comparison 2. Subgroup analysis

Outcome or subgroup title

No. of studies

No. of participants

Statistical method

Effect size

1 Sustained virological response according to genotype Show forest plot

11

Risk Ratio (M‐H, Random, 95% CI)

Subtotals only

1.1 Genotype 1 or 4

10

4621

Risk Ratio (M‐H, Random, 95% CI)

1.15 [1.06, 1.26]

1.2 Genotype 2 or 3

5

503

Risk Ratio (M‐H, Random, 95% CI)

1.11 [1.02, 1.22]

2 Sustanied virological response according to treatment history Show forest plot

12

Risk Ratio (M‐H, Random, 95% CI)

Subtotals only

2.1 Naive patients

11

5031

Risk Ratio (M‐H, Random, 95% CI)

1.12 [1.06, 1.18]

2.2 Non‐responders

2

360

Risk Ratio (M‐H, Random, 95% CI)

0.77 [0.47, 1.26]

3 Sustained virological response according to risk of bias from randomisation Show forest plot

12

5174

Risk Ratio (M‐H, Random, 95% CI)

1.12 [1.06, 1.18]

3.1 Trials with low risk of bias from randomisation

8

4566

Risk Ratio (M‐H, Random, 95% CI)

1.12 [1.05, 1.20]

3.2 Trials with high risk of bias from randomisation

4

608

Risk Ratio (M‐H, Random, 95% CI)

1.16 [1.02, 1.33]

4 Sustained virological response according to risk of bias from blinding Show forest plot

12

Risk Ratio (M‐H, Random, 95% CI)

Subtotals only

4.1 Trials with blinding protecting against detection bias

2

418

Risk Ratio (M‐H, Random, 95% CI)

1.29 [1.10, 1.51]

4.2 Trials without blinding

10

4756

Risk Ratio (M‐H, Random, 95% CI)

1.10 [1.04, 1.16]

5 Sustained virological response in patients without HIV co‐infection Show forest plot

11

4992

Risk Ratio (M‐H, Random, 95% CI)

1.12 [1.06, 1.18]

Figuras y tablas -
Comparison 2. Subgroup analysis