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• W2189794833 abstract "More than 25,000 people die of liver cancer annually in India. There is little information about the contribution of hepatitis B virus (HBV) and hepatitis C virus (HCV) to these deaths. We conducted a systematic review of published studies on HBV or HCV infection and liver cancer in India and estimated the population attributable fraction (PAF) of liver cancer deaths caused by these infections and the corresponding annual number of deaths and years of life lost (YLL) in the country.We searched the PubMed and Scopus databases, as well as the reference list of relevant articles in the systematic review. For calculation of the number of liver cancer deaths attributable to HBV and HCV, we used two sources of outcome data and two relative risks for the association between HCV and liver cancer.The PAF was 67% for HBV, 17-19% for HCV, and 71-72% for HBV and/or HCV. The annual attributable number of liver cancer deaths was approximately 17,000 for HBV; 4500 for HCV; and 18,500 for HBV and/or HCV, corresponding to approximately 297,000, 75,000, and 315,000 YLL, respectively. There was little difference in these numbers using the two sources of outcome data or the two risk estimates for HCV.Our findings underscore the importance of primary prevention of HBV and HCV by appropriate measures, including vaccination (HBV only), prevention of transfusion-related infections, and increased awareness of the routes of transmission and long-term health outcomes." @default.
• W2189794833 created "2016-06-24" @default.
• W2189794833 creator A5009198168 @default.
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• W2189794833 creator A5049513467 @default.
• W2189794833 date "2016-02-01" @default.
• W2189794833 modified "2023-09-23" @default.
• W2189794833 title "Primary liver cancer deaths and related years of life lost attributable to hepatitis B and C viruses in India" @default.
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• W2189794833 doi "https://doi.org/10.1016/j.canep.2015.11.012" @default.
• W2189794833 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/26683034" @default.
• W2189794833 hasPublicationYear "2016" @default.
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