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Meta-Analysis
. 2023 May;68(5):2161-2163.
doi: 10.1007/s10620-022-07799-9. Epub 2022 Dec 23.

HBV/HCV Infection Was Not Significantly Independently Associated with COVID-19 Severity: A Meta-Analysis of Confounding Variables-Adjusted Data

Jie Xu  1 , Yujia Wang  2 , Huifen Feng  3 , Fang Liu  1 , Haiyan Yang  4
Affiliations
Meta-Analysis

HBV/HCV Infection Was Not Significantly Independently Associated with COVID-19 Severity: A Meta-Analysis of Confounding Variables-Adjusted Data

Jie Xu et al. Dig Dis Sci. 2023 May.
No abstract available

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Conflict of interest statement

All authors report that they have no potential conflicts of interest.

Figures

Fig. 1
Fig. 1
A total of eighteen studies were included in this meta-analysis. Among them, there were thirteen studies with 89,088 cases reporting adjusted effect sizes on the relationship between hepatitis B virus (HBV) infection and coronavirus disease 2019 (COVID-19) severity and ten studies with 64,328 cases reporting adjusted effect sizes on the relationship between hepatitis C virus (HCV) infection and COVID-19 severity. Forest plots indicated that HBV/HCV infection was not significantly independently associated with the odds risk for severity and morality of COVID-19 patients (A for HBV and severity, B for HBV and mortality, C for HCV and severity, and D for HCV and mortality, respectively). Leave-one-out sensitivity analysis demonstrated that sequentially eliminating each individual study had no significant influences on the overall results (E for HBV and severity, F for HBV and mortality, G for HCV and severity, and H for HCV and mortality, respectively), which suggested that our results were robust and reliable. * indicated the combined effect sizes were estimated on the basis of the data from subgroups
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References

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