Development and application of hepatocellular carcinoma risk prediction model based on clinical characteristics and liver related indexes

doi:10.4251/wjgo.v15.i8.1486

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World Journal of Gastrointestinal Oncology

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1948-5204

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Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA

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World J Gastrointest Oncol. Aug 15, 2023; 15(8): 1486-1496
Published online Aug 15, 2023. doi: 10.4251/wjgo.v15.i8.1486

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Figure 1 Forest plot of variables in the diagnosis of hepatocellular carcinoma. OR: Odd ratio; CI: Confidence interval; HBsAg: Hepatitis B surface antigen; TBA: Total bile acid; TBIL: Total bilirubin; GGT: Gamma-glutamyl transferase; ALT: Alanine aminotransferase; AST: Aspartate aminotransferase; AFP: Alpha-fetoprotein; PIVKA-II: Protein induced by vitamin K absence or antagonist-II.

Citation: Liu ZJ, Xu Y, Wang WX, Guo B, Zhang GY, Luo GC, Wang Q. Development and application of hepatocellular carcinoma risk prediction model based on clinical characteristics and liver related indexes. World J Gastrointest Oncol 2023; 15(8): 1486-1496
URL: https://www.wjgnet.com/1948-5204/full/v15/i8/1486.htm
DOI: https://dx.doi.org/10.4251/wjgo.v15.i8.1486