Prediction of Early Recurrence After Surgery for Liver Tumor (ERASL): An International Validation of the ERASL Risk Models

[1]  T. Murakami,et al.  Clinical practice guidelines for hepatocellular carcinoma: The Japan Society of Hepatology 2017 (4th JSH‐HCC guidelines) 2019 update , 2019, Hepatology research : the official journal of the Japan Society of Hepatology.

[2]  Gao-Min Liu,et al.  Factors predicting early recurrence after surgical resection of hepatocellular carcinoma. , 2019, Journal of hepatology.

[3]  M. García-Fiñana,et al.  Development of pre and post-operative models to predict early recurrence of hepatocellular carcinoma after surgical resection. , 2018, Journal of hepatology.

[4]  P. Schirmacher,et al.  Hepatocellular carcinoma: ESMO Clinical Practice Guidelines for diagnosis, treatment and follow-up. , 2018, Annals of oncology : official journal of the European Society for Medical Oncology.

[5]  R. Omar,et al.  Review and evaluation of performance measures for survival prediction models in external validation settings , 2017, BMC Medical Research Methodology.

[6]  W. Yeo,et al.  Impact of disease stage and aetiology on survival in hepatocellular carcinoma: implications for surveillance , 2017, British Journal of Cancer.

[7]  A. Zhu,et al.  Comparison of hepatocellular carcinoma in Eastern versus Western populations , 2016, Cancer.

[8]  M. Schwartz,et al.  Recurrence of hepatocellular cancer after resection: patterns, treatments, and prognosis. , 2015, Annals of surgery.

[9]  C. Mathers,et al.  Cancer incidence and mortality worldwide: Sources, methods and major patterns in GLOBOCAN 2012 , 2015, International journal of cancer.

[10]  Gary S Collins,et al.  Transparent reporting of a multivariable prediction model for individual prognosis or diagnosis (TRIPOD): the TRIPOD Statement , 2015, BMC Medicine.

[11]  G. Collins,et al.  Critical Appraisal and Data Extraction for Systematic Reviews of Prediction Modelling Studies: The CHARMS Checklist , 2014, PLoS medicine.

[12]  S. Fan,et al.  Treatment strategy for recurrent hepatocellular carcinoma: Salvage transplantation, repeated resection, or radiofrequency ablation? , 2013, Liver transplantation : official publication of the American Association for the Study of Liver Diseases and the International Liver Transplantation Society.

[13]  P. Royston,et al.  External validation of a Cox prognostic model: principles and methods , 2013, BMC Medical Research Methodology.

[14]  Martha Sajatovic,et al.  Clinical Prediction Models , 2013 .

[15]  M. Kudo.  Japan’s Successful Model of Nationwide Hepatocellular Carcinoma Surveillance Highlighting the Urgent Need for Global Surveillance , 2012, Liver Cancer.

[16]  G. Sotiropoulos,et al.  Hepatocellular carcinoma: ESMO Clinical Practice Guidelines for diagnosis, treatment and follow-up. , 2010, Annals of oncology : official journal of the European Society for Medical Oncology.

[17]  Michael P. Rogers.  Python Tutorial , 2009 .

[18]  D. Amarapurkar,et al.  Application of surveillance programs for hepatocellular carcinoma in the Asia–Pacific Region , 2009, Journal of gastroenterology and hepatology.

[19]  J. Bruix,et al.  High pathological risk of recurrence after surgical resection for hepatocellular carcinoma: An indication for salvage liver transplantation , 2004, Liver transplantation : official publication of the American Association for the Study of Liver Diseases and the International Liver Transplantation Society.

[20]  Ewout W Steyerberg,et al.  Validation and updating of predictive logistic regression models: a study on sample size and shrinkage , 2004, Statistics in medicine.

[21]  S. Fan,et al.  Long-Term Survival and Pattern of Recurrence After Resection of Small Hepatocellular Carcinoma in Patients With Preserved Liver Function: Implications for a Strategy of Salvage Transplantation , 2002, Annals of surgery.

[22]  K. Covinsky,et al.  Assessing the Generalizability of Prognostic Information , 1999, Annals of Internal Medicine.

[23]  M Schemper,et al.  A note on quantifying follow-up in studies of failure time. , 1996, Controlled clinical trials.

[24]  Naufel J. Vilcassim,et al.  Investigating Household Purchase Timing Decisions: A Conditional Hazard Function Approach , 1991 .

[25]  J. Ioannidis,et al.  External validation of new risk prediction models is infrequent and reveals worse prognostic discrimination. , 2015, Journal of clinical epidemiology.

[26]  R Core Team,et al.  R: A language and environment for statistical computing. , 2014 .

[27]  H C van Houwelingen,et al.  Validation, calibration, revision and combination of prognostic survival models. , 2000, Statistics in medicine.

[28]  Markus S. Schröder,et al.  survcomp: an R/Bioconductor package for performance assessment and comparison of survival models , 2011, Bioinform..