2022
DOI: 10.1016/j.jhepr.2022.100445
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R3-AFP score is a new composite tool to refine prediction of hepatocellular carcinoma recurrence after liver transplantation

Abstract: This is a PDF file of an article that has undergone enhancements after acceptance, such as the addition of a cover page and metadata, and formatting for readability, but it is not yet the definitive version of record. This version will undergo additional copyediting, typesetting and review before it is published in its final form, but we are providing this version to give early visibility of the article. Please note that, during the production process, errors may be discovered which could affect the content, a… Show more

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Cited by 9 publications
(7 citation statements)
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“…In addition, the R3-AFP predictive model, established using a large and international cohort of patients transplanted for HCC, includes various parameters like the number of nodules, the size of the largest nodule, the presence of microvascular invasion, nuclear grade, and the last pre-liver transplantation AFP value, demonstrating its utility in predicting HCC recurrence after transplantation. 137 Finally, a recent scoring system, RELAPSE, showed an accurate 2- and 5-year recurrence risk discrimination and was consistent with external validation. 138 Notably, the variables, which included AFP were identified through Fine and Gray competing risk analysis and machine-learning algorithms.…”
Section: Afp As a Prognostic Biomarker For Hccsupporting
confidence: 58%
“…In addition, the R3-AFP predictive model, established using a large and international cohort of patients transplanted for HCC, includes various parameters like the number of nodules, the size of the largest nodule, the presence of microvascular invasion, nuclear grade, and the last pre-liver transplantation AFP value, demonstrating its utility in predicting HCC recurrence after transplantation. 137 Finally, a recent scoring system, RELAPSE, showed an accurate 2- and 5-year recurrence risk discrimination and was consistent with external validation. 138 Notably, the variables, which included AFP were identified through Fine and Gray competing risk analysis and machine-learning algorithms.…”
Section: Afp As a Prognostic Biomarker For Hccsupporting
confidence: 58%
“…Our analysis further emphasizes the importance of the number of pre-LT treatments to better and more accurately depict patients’ staging and, consequently, their outcomes. In an effort to predict HCC recurrence and based on the different scores based on pathological findings [ 7 , 31 , 32 , 33 ], the number of locoregional treatments before LT could be used as a surrogate for tumor aggressiveness and/or advanced HCC at presentation, such as AFP [ 34 , 35 , 36 , 37 ].…”
Section: Discussionmentioning
confidence: 99%
“…These three prediction models incorporated tumor burden, tumor biology, recipient health status, and other parameters (like donor serum sodium), which all showed excellent performance in the recurrence prediction. Moreover, many other models, such as the R3-AFP score 47 and Metroticket 2.0 model 48 , have been built mainly based on tumor burdens and tumor biology. Though the parameters involved were simplified, these models also helped with identifying recipients in high risks for recurrence and making clinical decisions.…”
Section: Discussionmentioning
confidence: 99%