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Modified preoperative score to predict disease-free survival for hepatocellular carcinoma patients with surgical resections

  • Yin Lai
  • , Jin Chiao Lee
  • , Hao Chien Hung
  • , Yu Chao Wang
  • , Chih Hsien Cheng
  • , Tsung Han Wu
  • , Chen Fang Lee
  • , Ting Jung Wu
  • , Hong Shiue Chou
  • , Kun Ming Chan
  • , Chen Yao Kao
  • , Wei Chen Lee*
  • *Corresponding author for this work
  • Chang Gung University
  • National University of Tainan Taiwan

Research output: Contribution to journalJournal Article peer-review

Abstract

BACKGROUND No prognostic models specific to hepatocellular carcinoma patients receiving surgical resection have been considered strong and convincing enough for survival prediction thus far, and there are no models including only preoperative predictors. We derived a nomogram to predict disease-free survival in a previous study. AIM To simplify our score and compare research outcomes among other scoring systems. METHODS We retrospectively reviewed data from 1106 patients with hepatocellular carcinoma who underwent liver resection at the Linkou Chang Gung Memorial Hospital between April 2003 and December 2012. Multivariate analyses were conducted to identify the significant survival predictors. Homogeneity, Harrell’s C-index, and Akaike information criterion were compared between our score, AJCC 8th edition, Tokyo score, and Taipei Integrated Scoring System (TTV-CTPAFP model). RESULTS Among the 1106 patients, 731 (66.1%) had tumor recurrence at a median followup of 83.9 mo. Five risk factors were identified: platelet count, albumin level, indocyanine green retention rate, multiplicity, and radiologic total tumor volume. Patients were divided into three risk groups, and the 5-year survival rates were 61.7%, 39%, and 25.7%, respectively. The C-index was 0.617, which was higher than the Tokyo score (0.613) and the Taipei Integrated Scoring System (0.562) and equal to the value of the AJCC 8th edition (0.617). CONCLUSION The modified score provides an easier method to predict survival.

Original languageEnglish
Pages (from-to)1778-1789
Number of pages12
JournalWorld Journal of Hepatology
Volume14
Issue number9
DOIs
StatePublished - 27 09 2022

Bibliographical note

Publisher Copyright:
© The Author(s) 2022. Published by Baishideng Publishing Group Inc. All rights reserved

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Hepatocellular carcinoma
  • Prediction
  • Preoperative
  • Tumor recurrence

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