Literature DB >> 26561464

Comparison of five models for end-stage liver disease in predicting the survival rate of patients with advanced hepatocellular carcinoma.

Ying-Fen Hong1, Zhan-Hong Chen2, Xiao-Kun Ma1, Xing Li1, Dong-Hao Wu1, Jie Chen1, Min Dong1, Li Wei1, Tian-Tian Wang1, Dan-Yun Ruan1, Ze-Xiao Lin1, Jing-Yun Wen1, Qu Lin1, Chang-Chang Jia3, Xiang-Yuan Wu4.   

Abstract

Prognosis of patients with advanced hepatocellular carcinoma (HCC) is under expectation. Life expectancy more than 3 months is one inclusion criteria for molecular targeted drugs in clinical trials. The main purpose of this research is to compare Model for End-Stage Liver Disease (MELD) and four MELD-based prognostic models in predicting the survival rate of advanced HCC patients. One hundred eighty-three patients with advanced HCC who were not amendable to standard anti-tumor therapy were retrospectively analyzed. Data were collected to classify patients according to MELD, Model for End-Stage Liver Disease with the incorporation of serum sodium (MELD-NA), Model for End-Stage Liver Disease to ascites and sodium (MELD-AS), integrated Model for End-Stage Liver Disease (iMELD), and Model for End-Stage Liver Disease to sodium (MESO) scores at diagnosis. 1-, 3-, and 6-month survivals were the end points used in the analysis. When predicting 1-month survival, MELD-AS, MELD, and MESO were the top 3 ranking staging systems. When predicting 3-month survival, area under the receiver operating characteristic curve (AUC) of MELD-AS is significantly higher than that of the other models (P < 0.05). When predicting 6-month survival, AUCs of MELD-AS and MELD-NA are significantly higher than those of the other models (P < 0.05). Cutoff point of MELD-AS is 23.11 with 40.5 % sensitivity and 93.8 % specificity at 1 month, 9.5 with 76.9 % sensitivity and 59.5 % specificity at 3 months, and 18.5 with 27.0 % sensitivity and 89.1 % specificity at 6 months. MELD-based scores of death group are significantly higher than those of survivors within 1 and 3 months (P < 0.001). Independent prognostic factors identified by multivariate analysis included persistent ascites, serum sodium, and thrombosis. MELD-AS is the best model in the prediction of short and intermediate survival among the five models for end-stage liver disease analyzed for Chinese advanced HCC patients.

Entities:  

Keywords:  Hepatocellular carcinoma; MELD; MELD-based prognostic models; Prognosis; Standard anti-tumor therapy; Survival time

Mesh:

Substances:

Year:  2015        PMID: 26561464     DOI: 10.1007/s13277-015-4366-2

Source DB:  PubMed          Journal:  Tumour Biol        ISSN: 1010-4283


  44 in total

1.  Persistent ascites and low serum sodium identify patients with cirrhosis and low MELD scores who are at high risk for early death.

Authors:  Douglas M Heuman; Souheil G Abou-Assi; Adil Habib; Leslie M Williams; R Todd Stravitz; Arun J Sanyal; Robert A Fisher; Anastasios A Mihas
Journal:  Hepatology       Date:  2004-10       Impact factor: 17.425

2.  An integrated MELD model including serum sodium and age improves the prediction of early mortality in patients with cirrhosis.

Authors:  Angelo Luca; Berhard Angermayr; Guido Bertolini; Franz Koenig; Giovanni Vizzini; Martin Ploner; Markus Peck-Radosavljevic; Bruno Gridelli; Jaime Bosch
Journal:  Liver Transpl       Date:  2007-08       Impact factor: 5.799

3.  The model for end-stage liver disease-based Japan Integrated Scoring system may have a better predictive ability for patients with hepatocellular carcinoma undergoing locoregional therapy.

Authors:  Teh-Ia Huo; Han-Chieh Lin; Yi-Hsiang Huang; Jaw-Ching Wu; Jen-Huei Chiang; Pui-Ching Lee; Shou-Dong Lee
Journal:  Cancer       Date:  2006-07-01       Impact factor: 6.860

4.  The survival benefit of liver transplantation.

Authors:  Robert M Merion; Douglas E Schaubel; Dawn M Dykstra; Richard B Freeman; Friedrich K Port; Robert A Wolfe
Journal:  Am J Transplant       Date:  2005-02       Impact factor: 8.086

5.  Natural history of untreatable hepatocellular carcinoma: A retrospective cohort study.

Authors:  Giuseppe Cabibbo; Marcello Maida; Chiara Genco; Pietro Parisi; Marco Peralta; Michela Antonucci; Giuseppe Brancatelli; Calogero Cammà; Antonio Craxì; Vito Di Marco
Journal:  World J Hepatol       Date:  2012-09-27

6.  Model for end-stage liver disease (MELD) score, as a prognostic factor for post-operative morbidity and mortality in cirrhotic patients, undergoing hepatectomy for hepatocellular carcinoma.

Authors:  Spiros G Delis; Andreas Bakoyiannis; Ioannis Biliatis; Konstantinos Athanassiou; Nikos Tassopoulos; Christos Dervenis
Journal:  HPB (Oxford)       Date:  2009-06       Impact factor: 3.647

7.  Cancer incidence and mortality worldwide: sources, methods and major patterns in GLOBOCAN 2012.

Authors:  Jacques Ferlay; Isabelle Soerjomataram; Rajesh Dikshit; Sultan Eser; Colin Mathers; Marise Rebelo; Donald Maxwell Parkin; David Forman; Freddie Bray
Journal:  Int J Cancer       Date:  2014-10-09       Impact factor: 7.396

8.  Model for End-Stage Liver Disease, Model for Liver Transplantation Survival and Donor Risk Index as predictive models of survival after liver transplantation in 1,006 patients.

Authors:  Elisa Maria de Camargo Aranzana; Adriana Zuolo Coppini; Maurício Alves Ribeiro; Paulo Celso Bosco Massarollo; Luiz Arnaldo Szutan; Fabio Gonçalves Ferreira
Journal:  Clinics (Sao Paulo)       Date:  2015-06-01       Impact factor: 2.365

9.  MELD scores and Child-Pugh classifications predict the outcomes of ERCP in cirrhotic patients with choledocholithiasis: a retrospective cohort study.

Authors:  Jinshun Zhang; Liping Ye; Jinlan Zhang; Minhua Lin; Saiqin He; Xinlin Mao; Xianbin Zhou; Fachao Zhi
Journal:  Medicine (Baltimore)       Date:  2015-01       Impact factor: 1.889

10.  Limitations of the MELD score in predicting mortality or need for removal from waiting list in patients awaiting liver transplantation.

Authors:  Daniel Gotthardt; Karl Heinz Weiss; Melanie Baumgärtner; Alexandra Zahn; Wolfgang Stremmel; Jan Schmidt; Thomas Bruckner; Peter Sauer
Journal:  BMC Gastroenterol       Date:  2009-09-25       Impact factor: 3.067

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  4 in total

1.  Prognostic stratification and nomogram for survival prediction in hepatocellular carcinoma patients treated with radiotherapy for lymph node metastasis.

Authors:  Chan Woo Wee; Kyubo Kim; Eui Kyu Chie; Su Jong Yu; Yoon Jun Kim; Jung Hwan Yoon
Journal:  Br J Radiol       Date:  2016-07-15       Impact factor: 3.039

2.  Identification of the prognostic value of lymphocyte-to-monocyte ratio in patients with HBV-associated advanced hepatocellular carcinoma.

Authors:  Ying-Fen Hong; Zhan-Hong Chen; Li Wei; Xiao-Kun Ma; Xing Li; Jing-Yun Wen; Tian-Tian Wang; Xiu-Rong Cai; Dong-Hao Wu; Jie Chen; Dan-Yun Ruan; Ze-Xiao Lin; Qu Lin; Min Dong; Xiang-Yuan Wu
Journal:  Oncol Lett       Date:  2017-06-19       Impact factor: 2.967

3.  Autologous transplantation of cytokine-induced killer cells as an adjuvant therapy for hepatocellular carcinoma in Asia: an update meta-analysis and systematic review.

Authors:  Xiu-Rong Cai; Xing Li; Jin-Xiang Lin; Tian-Tian Wang; Min Dong; Zhan-Hong Chen; Chang-Chang Jia; Ying-Fen Hong; Qu Lin; Xiang-Yuan Wu
Journal:  Oncotarget       Date:  2017-05-09

Review 4.  Predictors of Mortality in Patients with Advanced Cancer-A Systematic Review and Meta-Analysis.

Authors:  Catherine Owusuaa; Simone A Dijkland; Daan Nieboer; Agnes van der Heide; Carin C D van der Rijt
Journal:  Cancers (Basel)       Date:  2022-01-11       Impact factor: 6.639

  4 in total

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