Hepatitis C virus infection and risk of stroke: a systematic review and meta-analysis

He Huang, Rongyan Kang, Zhendong Zhao, He Huang, Rongyan Kang, Zhendong Zhao

Abstract

Background/aims: Several studies analyzed the association between hepatitis C virus (HCV) infection and the risk of stroke or cerebrovascular death, but their findings were inconsistent. Up to date, no systematic review about the association between HCV infection and stroke was performed. We conducted a meta-analysis to examine whether HCV infection dose increase stroke risk in comparison to the population without HCV infection.

Methods: We followed standard guidelines for performance of meta-analysis. Two independent investigators identified eligible studies through structured keyword searches in several databases. Random-effects and fixed-effects models were used to synthesize the data. Heterogeneity between studies and publication bias were also accessed.

Results: Combining the data from the eligible studies, we calculated the pooled multi-factor adjusted Odds Ratio (OR) with 95% confidence interval (CI). Upon the heterogeneity found between studies, the result was 1.58 (0.86, 2.30) by random-effects model. However, after omitting the study which induced heterogeneity, the pooled OR with 95% CI was 1.97 (1.64, 2.30).

Conclusions: This meta-analysis suggested that HCV infection increased the risk of stroke. More prospective cohort studies will be needed to confirm this association with underlying biological mechanisms in the future.

Conflict of interest statement

Competing Interests: The authors have declared that no competing interests exist.

Figures

Figure 1. Flow diagram of study identification.
Figure 1. Flow diagram of study identification.
Figure 2. Forest plot for meta-analysis comparing…
Figure 2. Forest plot for meta-analysis comparing risk of stroke in HCV infected patients compared to that in non-infected controls.
Four studies reporting ORs and RR were included. Adjusted ORs from included studies and the pooled OR was shown. Dimension of shaded OR for individual studies is proportional to their total weight in calculation of the pooled estimator.
Figure 3. Begg’s funnel plot (with pseudo…
Figure 3. Begg’s funnel plot (with pseudo 95% confidence intervals) to detect any publication bias.
Figure 4. Forest plot for meta-analysis comparing…
Figure 4. Forest plot for meta-analysis comparing risk of stroke in HCV infected patients compared to that in non-infected controls.
After omitting the study which induced heterogeneity, adjusted ORs from the other three studies and the pooled OR was shown. Dimension of shaded OR for individual studies is proportional to their total weight in calculation of the pooled estimator.

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Source: PubMed

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