FibroGENE: A gene-based model for staging liver fibrosis.

[1]  Mats Fredrikson,et al.  Fibrosis stage is the strongest predictor for disease‐specific mortality in NAFLD after up to 33 years of follow‐up , 2015, Hepatology.

[2]  V. Wong,et al.  Interferon-λ rs12979860 genotype and liver fibrosis in viral and non-viral chronic liver disease , 2015, Nature Communications.

[3]  D. Booth,et al.  IFNL3 polymorphisms predict response to therapy in chronic hepatitis C genotype 2/3 infection. , 2014, Journal of hepatology.

[4]  E. Álvarez,et al.  Prediction of Hepatic Fibrosis in Patients Coinfected With HIV and Hepatitis C Virus Based on Genetic Markers , 2013, Journal of acquired immune deficiency syndromes.

[5]  J. Talwalkar,et al.  AASLD clinical practice guidelines: A critical review of scientific evidence and evolving recommendations , 2013, Hepatology.

[6]  R. Schiumerini,et al.  Review article: the diagnosis of non‐alcoholic fatty liver disease – availability and accuracy of non‐invasive methods , 2013, Alimentary pharmacology & therapeutics.

[7]  V. Wong,et al.  Tu1036 The Cirrhosis Risk Score is Not Associated With Liver Fibrosis/Cirrhosis and Fibrosis Progression in Chinese Non-Alcoholic Fatty Liver Disease Patients , 2012 .

[8]  Ahmed M. Hashem,et al.  Single stage and multistage classification models for the prediction of liver fibrosis degree in patients with chronic hepatitis C infection , 2012, Comput. Methods Programs Biomed..

[9]  B. Bravenboer,et al.  The diagnosis of non‐alcoholic fatty liver disease , 2012, Alimentary pharmacology & therapeutics.

[10]  N. Enomoto,et al.  Pre-treatment prediction of response to pegylated-interferon plus ribavirin for chronic hepatitis C using genetic polymorphism in IL28B and viral factors. , 2011, Journal of hepatology.

[11]  V. de Lédinghen,et al.  Transient elastography and biomarkers for liver fibrosis assessment and follow‐up of inactive hepatitis B carriers , 2011, Alimentary pharmacology & therapeutics.

[12]  A. Feldstein,et al.  Nonalcoholic steatohepatitis: risk factors and diagnosis , 2010, Expert review of gastroenterology & hepatology.

[13]  G. Fattovich,et al.  A seven‐gene signature (cirrhosis risk score) predicts liver fibrosis progression in patients with initially mild chronic hepatitis C , 2009, Hepatology.

[14]  J. Sninsky,et al.  Role of a cirrhosis risk score for the early prediction of fibrosis progression in hepatitis C patients with minimal liver disease. , 2009, Journal of hepatology.

[15]  Pierre Bedossa,et al.  Non‐invasive assessment of liver fibrosis by stiffness measurement in patients with chronic hepatitis B , 2009, Liver international : official journal of the International Association for the Study of the Liver.

[16]  M. Brunetto,et al.  Liver stiffness in the hepatitis B virus carrier: a non-invasive marker of liver disease influenced by the pattern of transaminases. , 2008, World journal of gastroenterology.

[17]  M. Sawabe,et al.  Undiagnosed cirrhosis occurs frequently in the elderly and requires periodic follow ups and medical treatments , 2008, Geriatrics & gerontology international.

[18]  F. Carrat,et al.  How to measure the diagnostic accuracy of noninvasive liver fibrosis indices: the area under the ROC curve revisited. , 2008, Clinical chemistry.

[19]  N. Afdhal,et al.  Diagnosis and quantitation of fibrosis. , 2008, Gastroenterology.

[20]  H. Kirikoshi,et al.  Noninvasive assessment of liver fibrosis by measurement of stiffness in patients with nonalcoholic fatty liver disease (NAFLD). , 2008, Digestive and liver disease : official journal of the Italian Society of Gastroenterology and the Italian Association for the Study of the Liver.

[21]  V. de Lédinghen,et al.  Standardization of ROC curve areas for diagnostic evaluation of liver fibrosis markers based on prevalences of fibrosis stages. , 2007, Clinical chemistry.

[22]  Berkman Sahiner,et al.  Classifier Performance Estimation Under the Constraint of a Finite Sample Size: Resampling Schemes Applied to Neural Network Classifiers , 2007, IJCNN.

[23]  Olivia T. Abar,et al.  A 7 gene signature identifies the risk of developing cirrhosis in patients with chronic hepatitis C , 2007, Hepatology.

[24]  Xiao-Hua Zhou,et al.  Multiple imputation: review of theory, implementation and software , 2007, Statistics in medicine.

[25]  R. Sacco,et al.  Transient elastography: a new surrogate marker of liver fibrosis influenced by major changes of transaminases , 2007, Journal of viral hepatitis.

[26]  T. Therneau,et al.  The NAFLD fibrosis score: A noninvasive system that identifies liver fibrosis in patients with NAFLD , 2007, Hepatology.

[27]  J. Iredale Models of liver fibrosis: exploring the dynamic nature of inflammation and repair in a solid organ. , 2007, The Journal of clinical investigation.

[28]  Dario Conte,et al.  Reproducibility of transient elastography in the evaluation of liver fibrosis in patients with chronic liver disease , 2007, Gut.

[29]  T. Stijnen,et al.  Review: a gentle introduction to imputation of missing values. , 2006, Journal of clinical epidemiology.

[30]  J. Montaner,et al.  Development of a simple noninvasive index to predict significant fibrosis in patients with HIV/HCV coinfection , 2006, Hepatology.

[31]  Nancy A Obuchowski,et al.  Estimating and comparing diagnostic tests' accuracy when the gold standard is not binary. , 2005, Academic radiology.

[32]  P. Giral,et al.  Sampling variability of liver biopsy in nonalcoholic fatty liver disease. , 2005, Gastroenterology.

[33]  O. Cummings,et al.  Design and validation of a histological scoring system for nonalcoholic fatty liver disease , 2005, Hepatology.

[34]  Yvonne Vergouwe,et al.  Substantial effective sample sizes were required for external validation studies of predictive logistic regression models. , 2005, Journal of clinical epidemiology.

[35]  D. Thabut,et al.  Prospective analysis of discordant results between biochemical markers and biopsy in patients with chronic hepatitis C. , 2004, Clinical chemistry.

[36]  Amitabh Chak,et al.  Prediction of outcome in acute lower-gastrointestinal haemorrhage based on an artificial neural network: internal and external validation of a predictive model , 2003, The Lancet.

[37]  J. Kalbfleisch,et al.  A simple noninvasive index can predict both significant fibrosis and cirrhosis in patients with chronic hepatitis C , 2003, Hepatology.

[38]  Llorenç Quintó,et al.  Identification of chronic hepatitis C patients without hepatic fibrosis by a simple predictive model , 2002, Hepatology.

[39]  E. Schiff,et al.  Sampling error and intraobserver variation in liver biopsy in patients with chronic HCV infection , 2002, American Journal of Gastroenterology.

[40]  A. Zanella,et al.  Updated Definitions of Healthy Ranges for Serum Alanine Aminotransferase Levels , 2002, Annals of Internal Medicine.

[41]  James R. Dixon,et al.  The International Conference on Harmonization Good Clinical Practice guideline. , 1999, Quality assurance.

[42]  P. Bedossa,et al.  An algorithm for the grading of activity in chronic hepatitis C , 1996, Hepatology.

[43]  W. Baxt Application of artificial neural networks to clinical medicine , 1995, The Lancet.

[44]  N. Graudal,et al.  Characteristics of cirrhosis undiagnosed during life: a comparative analysis of 73 undiagnosed cases and 149 diagnosed cases of cirrhosis, detected in 4929 consecutive autopsies , 1991, Journal of internal medicine.

[45]  E. DeLong,et al.  Comparing the areas under two or more correlated receiver operating characteristic curves: a nonparametric approach. , 1988, Biometrics.

[46]  E. Tapper,et al.  FibroScan (vibration-controlled transient elastography): where does it stand in the United States practice. , 2015, Clinical gastroenterology and hepatology : the official clinical practice journal of the American Gastroenterological Association.

[47]  G. D’Amico,et al.  Natural history and prognostic indicators of survival in cirrhosis: a systematic review of 118 studies. , 2006, Journal of hepatology.

[48]  R. Lewis An Introduction to Classification and Regression Tree (CART) Analysis , 2000 .

[49]  Peter E. Hart,et al.  Nearest neighbor pattern classification , 1967, IEEE Trans. Inf. Theory.