Abstract
Background:
A recent study has reported that there are >240 million patients infected with chronic hepatitis B (CHB) worldwide. Once patients with CHB start antiviral treatment, they need to take antiviral drugs for a long period, which may lead to a series of side effects, and the resistance to the antiviral drugs may also emerge. We aim to evaluate the efficacy and safety of kushenin (KS) combined with entecavir (ETV) for chronic hepatitis B.
Methods:
Randomized controlled trials (RCTs) of KS combined with ETV for CHB will be identified from PubMed, EMBASE, Web of Science, The Cochrane Library, Chinese Biomedical Database, China National Knowledge Infrastructure, Chongqing VIP, Wangfang Data. Literature screening and data extraction will be independently performed by 2 researchers. The cochrane collaboration tool for assessing risk of bias will be applied to evaluate the risk of bias of the RCTs included. The extracted data will be analyzed by Rev-man 5.3.0 software.
Results:
A high-quality synthesis of current evidence on the efficacy and safety of KS combined with ETV for CHB will be provided in this study.
Conclusion:
This systematic review will aim to evaluate the efficacy and safety of KS combined with ETV for CHB.
PROSPERO registration number:
CRD42019124790.
Keywords: chronic hepatitis B, entecavir, kushenin, meta-analysis, oxymatrine, protocol
1. Introduction
More than 240 million people worldwide are suffering from chronic hepatitis B (CHB).[1] Once antiviral therapy is initiated, patients with CHB need to take antiviral drugs for a long period of time, which may lead to related side effects and drug resistance. The mechanism of nucleos (t)ide analogues in the treatment of CHB is to inhibit viral replication and reduce serum Hepatitis B virus DNA (HBV-DNA) titer. However, its effect on reducing hepatitis B virus surface antigen (HBsAg) transcription is very limited.[2] Entecavir (ETV) is one of the preferred antiviral agents for antiviral therapy recommended in several guidelines.[3,4] Kushinin (KS) is an active alkaloid extracted from Sophora flavescens, of which the main component is oxymatrine. KS has been proved to have antiviral, immunomodulatory, and anti-inflammatory effects,[5] several studies[6,7] have shown that KS combined with other antiviral drugs have a better antiviral effect in reducing the level of serum virological indicators, improving drug resistance and delaying the progression of liver fibrosis. This meta-analysis aims to provide a basis for clinical treatment for CHB, and explore whether KS combined with ETV has the advantages of improving efficacy and reducing side effects in antiviral therapy for patients with CHB.
2. Materials and methods
2.1. Registration
The protocol of this systematic review has been registered in PROSPERO (Registration Number: CRD42019124790).
2.2. Inclusion criteria
2.2.1. Types of studies
The randomized controlled clinical trials (RCTs) of KS combined with ETV for CHB will be included.
2.2.2. Types of patients
Patients with the diagnosis of CHB[8]: positive hepatitis B virus surface antigen and/or positive serum HBV-DNA for more than half a year, elevated serum alanine aminotransferase (ALT) level, there is no limitation on the age, sex. Patients who have coinfection with other types of hepatitis virus, HIV infection, autoimmune hepatitis, drug-induced liver injury, hereditary liver disease, hepatic carcinoma, and so on will be excluded.
2.2.3. Types of interventions
The experimental group should be treated with KS combined with ETV, with no restriction on dosage form, including oral administration, intravenous drip or acupoint injection, while the control group should be treated with ETV alone. The course of treatment should be >3 months, and if there were other treatments, the 2 groups should be consistent.
2.2.4. Types of outcomes
The main outcomes are the effective rate of serum virological indicators and hepatic function indicator. Additional outcomes are the effective rate of serum hepatic fibrosis indicators, drug resistance rate, side effects rate.
2.3. Searching strategy
Literature searching will cover both English and Chinese electronic databases, including PubMed, EMBASE, Web of Science, The Cochrane Library, Chinese Biomedical Database, China National Knowledge Infrastructure, Chongqing VIP, Wangfang Data. Medical subject headings combine with text word searching will be performed, search terms include Hepatitis B, Chronic, CHB, entecavir, baraclude, kushenin, oxymatrine, matrine. The date ranges from the establishment of databases to February 2019.
2.4. Data collection and analysis
2.4.1. Selection of studies and data extraction
Literature screening and data extraction will be carried out independently by 2 researchers (YW, JZ) using the unified scale, and cross-checking will be conducted. The inclusion of controversial literature will be determined by a third researcher (QZ). If the required information is incomplete, we will contact the author to obtain the necessary data. The entire process is performed in the flow diagram (Fig. 1).
Figure 1.
Flow of literature screening.
2.4.2. Assessment of risk of bias
The cochrane collaboration tool for assessing risk of bias will be applied to evaluate the risk of bias of the RCTs included. The scale contains 7 parts, including random sequence generation (selection bias), allocation concealment (selection bias), blinding of participants and personnel (performance bias), blinding of outcome assessment (detection bias), incomplete outcome data (attrition bias), and selective outcome reporting (reporting bias). The judgment is categorized as “Low risk” of bias, “High risk” of bias, or “Unclear risk” of bias.
2.4.3. Measures of treatment effect
The extracted data will be analyzed using the Rev-man 5.3.0 (Copenhagen, Denmark) software provided by the cochrane collaboration. For continuous variable, mean difference (MD) and 95% confidence intervals (95% CI) will be reported. And for dichotomous variable, risk ratio (RR) and 95% CI will be reported.
2.4.4. Assessment of heterogeneity and data synthesis
Statistical heterogeneity will be assessed by Q-statistic and I2 statistic. If there is no significant heterogeneity (P > .10, I2 < 50%), the data will be assessed by fixed-effects model. Otherwise, subgroup analysis and sensitivity analysis will be performed to identify the potential source of heterogeneity, and the data will be assessed by random effects model.
2.4.5. Assessment of reporting bias
Publication bias will be assessed by a funnel plot when the included studies is >10.
2.4.6. Subgroup analysis and sensitivity analysis
Subgroup analysis will be conducted if there is a significant heterogeneity (grouped by treatment duration, dosage form, sample size) and sensitivity analysis will be performed to identify the potential source of heterogeneity.
2.4.7. Confidence in cumulative evidence
GRADE system will be used for assessing the strength of the body of evidence,[9] of which the quality of evidence will be categorized as high quality, moderate quality, low quality, and very low quality.
3. Discussion
The possible antiviral mechanism of KS are interfering with the packaging of HBV paired-guide RNA nucleocapsid, and inhibiting the activity of viral DNA polymerase.[10] It was also been suggested[11] that KS can inhibits the expression of heat-stress cognate 70, a host protein required for HBV replication. In a study published in 2017,[12] ETV showed a better efficacy than KS in reducing HBV replication and serum HBV-DNA level, while KS was more effective in reducing serum HBsAg, hepatitis B virus e antigen (HBeAg), and hepatitis B virus c antigen (HBcAg) level, which may explain the improved antiviral effect of KS combined with ETV. This systematic review aims to evaluate the efficacy and safety of KS combined with ETV for CHB. In order to provide more references for the clinical treatment of CHB.
Author contributions
None.
Footnotes
Abbreviations: ALT = alanine aminotransferase, CHB = chronic hepatitis B, CI = confidence interval, ETV = entecavir, HBcAg = hepatitis B virus c antigen, HBeAg = hepatitis B virus e antigen, HBsAg = hepatitis B virus surface antigen, HBV-DNA = Hepatitis B virus DNA, KS = kushenin, MD = mean difference, RCTs = randomized controlled trials, RR = risk ratio.
How to cite this article: Wang Y, Zhang J, Jin Y, Xiao X, Zhang Q. Kushenin combined with Entecavir for chronic hepatitis B: A protocol for a systematic review and meta-analysis. Medicine. 2020;99:5(e18898).
Ethics: There is no requirement of ethical approval.
This work is supported by the National Natural Science Foundation of China (No. 81873222).
The authors have no conflicts of interest to disclose.
References
- [1].Tang LSY, Covert E, Wilson E, et al. Chronic Hepatitis B infection: a review. JAMA 2018;319:1802–13. [DOI] [PubMed] [Google Scholar]
- [2].Chevaliez S, Hézode C, Bahrami S, et al. Long-term hepatitis B surface antigen (HBsAg) kinetics during nucleoside/nucleotide analogue therapy: finite treatment duration unlikely. J Hepatol 2013;58:676–83. [DOI] [PubMed] [Google Scholar]
- [3].Terrault NA, Lok ASF, McMahon BJ, et al. Update on prevention, diagnosis, and treatment of chronic hepatitis B: AASLD 2018 hepatitis B guidance. Hepatology 2018;67:1560–99. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [4].European Association for the Study of the Liver. EASL 2017 Clinical Practice Guidelines on the management of hepatitis B virus infection. J Hepatol 2017;67:370–98. [DOI] [PubMed] [Google Scholar]
- [5].Zhang Y-B, Zhan L-Q, Li G-Q, et al. Dimeric Matrine-type alkaloids from the roots of Sophora flavescens and their anti-Hepatitis B virus activities. J Org Chem 2016;81:6273–80. [DOI] [PubMed] [Google Scholar]
- [6].Feng J, Huang J, Li Z. Kushenin combined with adefovir dipivoxil affects the HBV-DNA load in serum, immune functions and liver functions of patients with chronic hepatitis B. Exp Ther Med 2017;14:5837–42. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [7].Wang YP, Zhao W, Xue R, et al. Oxymatrine inhibits hepatitis B infection with an advantage of overcoming drug-resistance. Antiviral Res 2011;89:227–31. [DOI] [PubMed] [Google Scholar]
- [8].Chinese Society of Hepatology and Chinese Society of Infectious Diseases CMA. The guideline of prevention and treatment for chronic hepatitis B: a 2015 update. J Clin Hepatol 2015;31:1941–60. [Google Scholar]
- [9].Guyatt GH, Oxman AD, Vist GE, et al. GRADE: an emerging consensus on rating quality of evidence and strength of recommendations. BMJ 2008;336:924–6. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [10].Xu W-S, Zhao K-K, Miao X-H, et al. Effect of oxymatrine on the replication cycle of hepatitis B virusin vitro. World J Gastroenterol 2010;16:2028–37. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [11].Gao LM, Han YX, Wang YP, et al. Design and synthesis of oxymatrine analogues overcoming drug resistance in hepatitis B virus through targeting host heat stress cognate 70. J Med Chem 2011;54:869–76. [DOI] [PubMed] [Google Scholar]
- [12].Sang X, Wang R, Han Y, et al. T cell--associated immunoregulation and antiviral effect of oxymatrine in hydrodynamic injection HBV mouse model. Acta Pharm Sin B 2017;7:311–8. [DOI] [PMC free article] [PubMed] [Google Scholar]