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Published in: Hepatology International 3/2020

01-05-2020 | Antiviral Agents | Original Article

Efficacy of oral antiviral drugs to prevent mother-to-child transmission of hepatitis B virus: a network meta-analysis

Authors: Fang Jia, Fuxue Deng, Shiwen Tong, Shiying Li, Hong Ren, Wenwei Yin

Published in: Hepatology International | Issue 3/2020

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Abstract

Background

Hepatitis B is a serious global health problem. Mother-to-child transmission (MTCT) of hepatitis B virus (HBV) is a major risk factor in the endemicity of HBV infection. Oral antiviral drugs are recommended to highly viremic mothers to decrease MTCT of HBV. The present network analysis compared the efficacy of available treatments to prevent the MTCT of HBV.

Methods

The electronic databases of PubMed, Embase, Web of Science, Scopus, and Wanfang data were searched for eligible studies. Pair-wise meta-analysis and Bayesian network analysis were applied to compare the efficacy of antiviral drugs.

Results

Seventy-five studies involving 12,740 pregnant females were eligible for analysis. On pair-wise analysis, lamivudine (OR 0.15, 95% CI 0.09–0.25, I-squared = 0%), telbivudine (OR 0.07, 95% CI 0.05–0.10, I-squared = 0%) and tenofovir (OR 0.07, 95% CI 0.04–0.13, I-squared = 0%) significantly decreased the MTCT rate. Results of multiple comparisons with ranking probability based on Bayesian analysis showed that tenofovir (SUCRA = 96.83%) appeared more effective than the two other drugs.

Conclusion

In addition to active and passive immunoprophylaxis, lamivudine, telbivudine and tenofovir in highly viremic mothers can further decrease MTCT of HBV. Based on direct and indirect evidence, tenofovir appears to be more effective than the two other drugs in the prevention of HBV MTCT.
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Metadata
Title
Efficacy of oral antiviral drugs to prevent mother-to-child transmission of hepatitis B virus: a network meta-analysis
Authors
Fang Jia
Fuxue Deng
Shiwen Tong
Shiying Li
Hong Ren
Wenwei Yin
Publication date
01-05-2020
Publisher
Springer India
Published in
Hepatology International / Issue 3/2020
Print ISSN: 1936-0533
Electronic ISSN: 1936-0541
DOI
https://doi.org/10.1007/s12072-020-10024-2

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