Open AccessModel combining pre-transplant tumor biomarkers and tumor size shows more utility in predicting hepatocellular carcinoma recurrence and survival than the BALAD models
Author(s) -
Nicha Wongjarupong,
Gabriela M. Negron-Ocasio,
Roongruedee Chaiteerakij,
Benyam D. Addissie,
Essa A. Mohamed,
Kristin C. Mara,
William S. Harmsen,
Jannick Theobald,
Barbara J. Peters,
Joseph G. Balsanek,
Melissa M. Ward,
Nasra H. Giama,
Sudhakar K. Venkatesh,
Denise M. Harnois,
Michael Charlton,
Hiroyuki Yamada,
Alicia AlgecirasSchimnich,
Melissa R. Snyder,
Terry M. Therneau,
Lewis R. Roberts
Publication year - 2018
Publication title -
world journal of gastroenterology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.427
H-Index - 155
eISSN - 2219-2840
pISSN - 1007-9327
DOI - 10.3748/wjg.v24.i12.1321
Subject(s) - medicine , hepatocellular carcinoma , gastroenterology , univariate analysis , milan criteria , proportional hazards model , hazard ratio , multivariate analysis , surgery , liver transplantation , transplantation , confidence interval
To assess the performance of BALAD, BALAD-2 and their component biomarkers in predicting outcome of hepatocellular carcinoma (HCC) patients after liver transplant.