2021
DOI: 10.1186/s12014-021-09326-w
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Validation and update of a multivariable prediction model for the identification and management of patients at risk for hepatocellular carcinoma

Abstract: Background A hepatocellular carcinoma (HCC) prediction model (ASAP), including age, sex, and the biomarkers alpha-fetoprotein and prothrombin induced by vitamin K absence-II, showed potential clinical value in the early detection of HCC. We validated and updated the model in a real-world cohort and promoted its transferability to daily clinical practice. Methods This retrospective cohort analysis included 1012 of the 2479 eligible patients aged 35 … Show more

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Cited by 2 publications
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References 34 publications
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“…A novel staging system including remnant liver function (such as bilirubin and albumin) and serum biomarkers (such as PIVKA-II, AFP, and AFP-L3) had been established to predict survival regardless of the diverse etiology of HCC. The system showed good prognostic prediction efficacy with real-time and dynamic monitoring (100)(101)(102)(103).…”
Section: Prognostic Prediction In Hccmentioning
confidence: 97%
“…A novel staging system including remnant liver function (such as bilirubin and albumin) and serum biomarkers (such as PIVKA-II, AFP, and AFP-L3) had been established to predict survival regardless of the diverse etiology of HCC. The system showed good prognostic prediction efficacy with real-time and dynamic monitoring (100)(101)(102)(103).…”
Section: Prognostic Prediction In Hccmentioning
confidence: 97%