Literature DB >> 31416786

Development and validation of a risk score to predict the overall survival following surgical resection of hepatocellular carcinoma in non-cirrhotic liver.

Bobby Vm Dasari1, Sivesh K Kamarajah2, James Hodson3, Timothy M Pawlik4, Jean-Nicholas Vauthey5, Yuk T Ma6, Pankaj Punia6, Chris Coldham2, Manuel Abradelo2, Keith J Roberts2, Ravi Marudanayagam2, Robert P Sutcliffe2, Paolo Muiesan2, Darius F Mirza2, John Isaac2.   

Abstract

BACKGROUND: The aim of this study was to develop and validate a risk score to predict overall survival (OS) in patients undergoing surgical resection for hepatocellular carcinoma in non-cirrhotic liver (NC-HCC).
METHODS: Patients who underwent resection for NC-HCC between 2004 and 2013 were identified from the SEER database. A derivation set of 75% of this cohort was used to develop a risk score. This was then internally validated on the remaining patients, and externally validated using a cohort of patients from The HPB Unit, Birmingham, UK.
RESULTS: A total of 3897 patients were included from the SEER database, with a median post-diagnosis survival of 59 months. In the derivation set, multivariable analyses identified male sex, increasing tumour size, the presence of multiple tumours, bilobar tumours and major vascular invasion as adverse prognostic factors. A risk score generated from these factors was significantly predictive of OS, and was used to classify patients into low, medium and high-risk groups. These groups had a five-year OS of 69%, 51% and 19% in the internal, and 73%, 50% and 45% in the external validation sets.
CONCLUSION: The proposed risk score is useful in the selection, pre-operative consenting and counselling of patients for surgery and to allow patients to make an informed decision regarding treatment.
Copyright © 2019. Published by Elsevier Ltd.

Entities:  

Year:  2019        PMID: 31416786     DOI: 10.1016/j.hpb.2019.07.007

Source DB:  PubMed          Journal:  HPB (Oxford)        ISSN: 1365-182X            Impact factor:   3.647


  5 in total

1.  Machine Learning to Improve Prognosis Prediction of Early Hepatocellular Carcinoma After Surgical Resection.

Authors:  Gu-Wei Ji; Ye Fan; Dong-Wei Sun; Ming-Yu Wu; Ke Wang; Xiang-Cheng Li; Xue-Hao Wang
Journal:  J Hepatocell Carcinoma       Date:  2021-08-10

Review 2.  Strategies for the delay of surgery in the management of resectable hepatobiliary malignancies during the COVID-19 pandemic.

Authors:  S Bennett; K Søreide; S Gholami; P Pessaux; C Teh; E Segelov; H Kennecke; H Prenen; S Myrehaug; D Callegaro; J Hallet
Journal:  Curr Oncol       Date:  2020-10-01       Impact factor: 3.677

3.  Development and Validation of a Predictive Model for Early Refractoriness of Transarterial Chemoembolization in Patients With Hepatocellular Carcinoma.

Authors:  Tian-Cheng Wang; Tian-Zhi An; Jun-Xiang Li; Zi-Shu Zhang; Yu-Dong Xiao
Journal:  Front Mol Biosci       Date:  2021-03-18

4.  Outcome after Resection for Hepatocellular Carcinoma in Noncirrhotic Liver-A Single Centre Study.

Authors:  Lea Penzkofer; Jens Mittler; Stefan Heinrich; Nicolas Wachter; Beate K Straub; Roman Kloeckner; Fabian Stoehr; Simon Johannes Gairing; Fabian Bartsch; Hauke Lang
Journal:  J Clin Med       Date:  2022-09-30       Impact factor: 4.964

Review 5.  Non-cirrhotic hepatocellular carcinoma in chronic viral hepatitis: Current insights and advancements.

Authors:  Abhilash Perisetti; Hemant Goyal; Rachana Yendala; Ragesh B Thandassery; Emmanouil Giorgakis
Journal:  World J Gastroenterol       Date:  2021-06-28       Impact factor: 5.742

  5 in total

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