title: Risk prediction models for hepatocellular carcinoma in different populations.
abstract: Hepatocellular carcinoma (HCC) is a malignant disease with limited therapeutic options due to its aggressive progression. It places heavy burden on most low and middle income countries to treat HCC patients. Nowadays accurate HCC risk predictions can help making decisions on the need for HCC surveillance and antiviral therapy. HCC risk prediction models based on major risk factors of HCC are useful and helpful in providing adequate surveillance strategies to individuals who have different risk levels. Several risk prediction models among cohorts of different populations for estimating HCC incidence have been presented recently by using simple, efficient, and ready-to-use parameters. Moreover, using predictive scoring systems to assess HCC development can provide suggestions to improve clinical and public health approaches, making them more cost-effective and effort-effective, for inducing personalized surveillance programs according to risk stratification. In this review, the features of risk prediction models of HCC across different populations were summarized, and the perspectives of HCC risk prediction models were discussed as well.
authors.affiliation: 1State Key Laboratory of Oncogene and Related Genes, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiaotong University School of Medicine, Shanghai 200032, China;; 2Department of Epidemiology, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiaotong University School of Medicine, Shanghai 200032, China;
authors.forename: Xiao
authors.initials: X
authors.lastname: Ma
authors.affiliation: 1State Key Laboratory of Oncogene and Related Genes, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiaotong University School of Medicine, Shanghai 200032, China;; 2Department of Epidemiology, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiaotong University School of Medicine, Shanghai 200032, China;
authors.forename: Yang
authors.initials: Y
authors.lastname: Yang
authors.affiliation: 1State Key Laboratory of Oncogene and Related Genes, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiaotong University School of Medicine, Shanghai 200032, China;
authors.forename: Hong
authors.initials: H
authors.lastname: Tu
authors.affiliation: 1State Key Laboratory of Oncogene and Related Genes, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiaotong University School of Medicine, Shanghai 200032, China;; 2Department of Epidemiology, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiaotong University School of Medicine, Shanghai 200032, China;
authors.forename: Jing
authors.initials: J
authors.lastname: Gao
authors.affiliation: 1State Key Laboratory of Oncogene and Related Genes, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiaotong University School of Medicine, Shanghai 200032, China;; 2Department of Epidemiology, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiaotong University School of Medicine, Shanghai 200032, China;
authors.forename: Yu-Ting
authors.initials: YT
authors.lastname: Tan
authors.affiliation: 3University of South Carolina, Arnold School of Public Health, Department of Epidemiology and Biostatistics, Columbia SC29208, USA;
authors.forename: Jia-Li
authors.initials: JL
authors.lastname: Zheng
authors.affiliation: 4Cancer Surveillance Section, International Agency for Research on Cancer, 150 Cours Albert Thomas, F-69372 Lyon Cedex 08, France.
authors.forename: Freddie
authors.initials: F
authors.lastname: Bray
authors.affiliation: 1State Key Laboratory of Oncogene and Related Genes, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiaotong University School of Medicine, Shanghai 200032, China;; 2Department of Epidemiology, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiaotong University School of Medicine, Shanghai 200032, China;
authors.forename: Yong-Bing
authors.initials: YB
authors.lastname: Xiang
keywords: Risk prediction models; chronic hepatitis B; chronic hepatitis C; cirrhosis; cohort study; general population; hepatocellular carcinoma; risk factors