Objective: To evaluate the relevance of diabetes mellitus and hepatitis B virus(HBV) infection in people by Meta-analysis. Methods: Databases we searched included CNKI, VIP China Science and Technology Journal Database, Wanfang Data Knowledge Service Platform, PubMed, Cochrane Library and Web of Science Core Collection database. Publication time was from January 1997 to May 2017. The Languages were limited to Chinese and English. English search terms include: diabetes, diabetes mellitus, hepatitis B and risk. Chinese search terms include: diabetes mellitus, hepatitis B and risk. We included all observational studies on diabetes and HBV infection. Firstly, the Newcastle-Ottawa Scale and the evaluation criteria of Cross-sectional study recommended by Agency for Healthcare Research and Quality were used to evaluate the quality of articles. Secondly, RevMan 5.3 software was used for heterogeneity testing. Subgroup analysis, random effects model and Mantel-Haenszel method were used to calculate the combined OR value. Finally, Stata 14.0 software was used to conduct the sensitivity analysis, and Begg rank correlation method was used to detect the publication bias. Results: A total of 12 studies were included, comprising 6 cross-sectional studies and 6 case-control studies. But the 12 articles were heterogeneous (χ(2)=42.10, P<0.001). After subgroup analysis, cross-sectional studies of diabetes and HBV infection were still heterogeneous (χ(2)=28.21, P<0.001), whose combined odds ratio (OR) was 1.36 (95%CI: 1.03-1.80). But the heterogeneity of case-control studies was not statistically significant (χ(2)=10.32, P=0.070), whose combined odds ratio (OR) was 1.55 (95%CI: 1.10-2.17). After the sensitivity analysis, the 95%CI of the combined OR of the 7 studies did not fluctuate, and the lower limit was above 1.07. No publication bias was detected in the cross-sectional study subgroup (Z=1.35, P=0.176) and the case-control study subgroup (Z=1.69, P=0.091). Conclusion: Patients with diabetes are more likely to be infected with HBV than those without diabetes. Diabetes mellitus is likely to be a risk factor for HBV infection.
Objective: To evaluate the relevance of diabetes mellitus and hepatitis B virus(HBV) infection in people by Meta-analysis. Methods: Databases we searched included CNKI, VIP China Science and Technology Journal Database, Wanfang Data Knowledge Service Platform, PubMed, Cochrane Library and Web of Science Core Collection database. Publication time was from January 1997 to May 2017. The Languages were limited to Chinese and English. English search terms include: diabetes, diabetes mellitus, hepatitis B and risk. Chinese search terms include: diabetes mellitus, hepatitis B and risk. We included all observational studies on diabetes and HBV infection. Firstly, the Newcastle-Ottawa Scale and the evaluation criteria of Cross-sectional study recommended by Agency for Healthcare Research and Quality were used to evaluate the quality of articles. Secondly, RevMan 5.3 software was used for heterogeneity testing. Subgroup analysis, random effects model and Mantel-Haenszel method were used to calculate the combined OR value. Finally, Stata 14.0 software was used to conduct the sensitivity analysis, and Begg rank correlation method was used to detect the publication bias. Results: A total of 12 studies were included, comprising 6 cross-sectional studies and 6 case-control studies. But the 12 articles were heterogeneous (χ(2)=42.10, P<0.001). After subgroup analysis, cross-sectional studies of diabetes and HBV infection were still heterogeneous (χ(2)=28.21, P<0.001), whose combined odds ratio (OR) was 1.36 (95%CI: 1.03-1.80). But the heterogeneity of case-control studies was not statistically significant (χ(2)=10.32, P=0.070), whose combined odds ratio (OR) was 1.55 (95%CI: 1.10-2.17). After the sensitivity analysis, the 95%CI of the combined OR of the 7 studies did not fluctuate, and the lower limit was above 1.07. No publication bias was detected in the cross-sectional study subgroup (Z=1.35, P=0.176) and the case-control study subgroup (Z=1.69, P=0.091). Conclusion:Patients with diabetes are more likely to be infected with HBV than those without diabetes. Diabetes mellitus is likely to be a risk factor for HBV infection.
Entities:
Keywords:
Diabetes mellitus; Hepatitis B virus; Meta-analysis; Observational study