Literature DB >> 29033225

Nomograms for prediction of long-term survival in elderly patients after partial hepatectomy for hepatocellular carcinoma.

Zhangjun Cheng1, Pinghua Yang2, Zhengqing Lei2, Baohua Zhang3, Anfeng Si2, Zhenglin Yan2, Yong Xia2, Jun Li2, Kui Wang2, Daniel Hartmann4, Norbert Hüser4, Wan Yee Lau5, Feng Shen6.   

Abstract

BACKGROUND: Partial hepatectomy is an important treatment for elderly patients with hepatocellular carcinoma. However, prediction of long-term outcomes of an individual elderly patient after partial hepatectomy still is lacking. This study aimed to develop 2 nomograms to pre- or postoperatively predict overall survival for these patients.
METHODS: Of the 528 elderly patients (aged ≥65 years) who underwent partial hepatectomy for hepatocellular carcinoma at the Eastern Hepatobiliary Surgery Hospital between 2008 and 2011, 425 patients served as a training cohort to develop pre- and postoperative nomograms, and the remaining 103 patients comprised a validation cohort. The Cox proportional hazards model was used for univariate and multivariable analyses of tumor recurrence and overall survival. Discrimination and calibration of the models were measured using the concordance index, calibration plots, and Kaplan-Meier curves.
RESULTS: Based on preoperative data, the independent risk factors of overall survival were age ≥75 years, Charlson score, α-fetoprotein ≥20 μg/L, hepatitis B virus-deoxyribonucleic acid ≥104 IU/mL, and tumor diameter. Based on postoperative data, nonanatomic hepatectomy, absence of tumor encapsulation, and presence of microvascular invasion were additional independent risk factors. These independent predictors were incorporated into the pre- and postoperative nomograms, respectively. The concordance indexes of the 2 nomograms for overall survival prediction were 0.70 (95% confidence interval, 0.67-0.74) and 0.72 (0.69-0.78), respectively. Both nomograms accurately predicted 1-, 3-, and 5-year overall survival probability, and their predictive performances were optimally validated.
CONCLUSION: The proposed 2 nomograms showed good individualized predictive performance in elderly patients with hepatocellular carcinoma before and after partial hepatectomy.
Copyright © 2017 Elsevier Inc. All rights reserved.

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Year:  2017        PMID: 29033225     DOI: 10.1016/j.surg.2017.07.019

Source DB:  PubMed          Journal:  Surgery        ISSN: 0039-6060            Impact factor:   3.982


  4 in total

1.  CDCA5 overexpression is an Indicator of poor prognosis in patients with hepatocellular carcinoma (HCC).

Authors:  Yunhong Tian; Jianlin Wu; Cristian Chagas; Yichao Du; Huan Lyu; Yunhong He; Shouliang Qi; Yong Peng; Jiani Hu
Journal:  BMC Cancer       Date:  2018-11-29       Impact factor: 4.430

2.  A Web-Based Prediction Model for Cancer-Specific Survival of Elderly Patients With Early Hepatocellular Carcinoma: A Study Based on SEER Database.

Authors:  Taiyu He; Tianyao Chen; Xiaozhu Liu; Biqiong Zhang; Song Yue; Junyi Cao; Gaoli Zhang
Journal:  Front Public Health       Date:  2022-01-13

3.  Novel postoperative nomograms for predicting individual prognoses of hepatitis B-related hepatocellular carcinoma with cirrhosis.

Authors:  Liangliang Xu; Fuzhen Dai; Peng Wang; Lian Li; Ming Zhang; Mingqing Xu
Journal:  BMC Surg       Date:  2022-09-13       Impact factor: 2.030

Review 4.  Noninvasive imaging of hepatocellular carcinoma: From diagnosis to prognosis.

Authors:  Han-Yu Jiang; Jie Chen; Chun-Chao Xia; Li-Kun Cao; Ting Duan; Bin Song
Journal:  World J Gastroenterol       Date:  2018-06-14       Impact factor: 5.742

  4 in total

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