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View article: Supplementary Data1 from Subset of Child-Pugh Score 7 Shows Comparable Survival Outcomes to Child-Pugh Score 6 in Patients with Hepatocellular Carcinoma Treated with Atezolizumab and Bevacizumab
Supplementary Data1 from Subset of Child-Pugh Score 7 Shows Comparable Survival Outcomes to Child-Pugh Score 6 in Patients with Hepatocellular Carcinoma Treated with Atezolizumab and Bevacizumab Open
Supplementary Figures Figure S1. Risk analysis of overall survival based on ALBI score. (A) Restricted cubic spline curve showing the association between ALBI score and hazard ratio for overall survival in patients with Child-Pugh score 7.…
View article: Data from Subset of Child-Pugh Score 7 Shows Comparable Survival Outcomes to Child-Pugh Score 6 in Patients with Hepatocellular Carcinoma Treated with Atezolizumab and Bevacizumab
Data from Subset of Child-Pugh Score 7 Shows Comparable Survival Outcomes to Child-Pugh Score 6 in Patients with Hepatocellular Carcinoma Treated with Atezolizumab and Bevacizumab Open
Purpose:Given the limited data on the effectiveness of atezolizumab plus bevacizumab (Ate/Bev) in patients with hepatocellular carcinoma with a Child-Pugh score (CPS) of 7, this study aims to evaluate the treatment’s efficacy in this popul…
View article: Subset of Child-Pugh Score 7 Shows Comparable Survival Outcomes to Child-Pugh Score 6 in Patients with Hepatocellular Carcinoma Treated with Atezolizumab and Bevacizumab
Subset of Child-Pugh Score 7 Shows Comparable Survival Outcomes to Child-Pugh Score 6 in Patients with Hepatocellular Carcinoma Treated with Atezolizumab and Bevacizumab Open
Purpose: Given the limited data on the effectiveness of atezolizumab plus bevacizumab (Ate/Bev) in patients with hepatocellular carcinoma with a Child-Pugh score (CPS) of 7, this study aims to evaluate the treatment’s efficacy in this popu…
View article: Predicting Mortality and Cirrhosis-Related Complications with MELD3.0: A Multicenter Cohort Analysis
Predicting Mortality and Cirrhosis-Related Complications with MELD3.0: A Multicenter Cohort Analysis Open
The MELD3.0 demonstrated robust prognostic performance in predicting mortality in patients with cirrhosis. Moreover, the MELD3.0 score was linked to cirrhosis-related complications, particularly those involving kidney function, such as hep…
View article: Effect of Biliary Drainage on the Prognosis of Patients with Hepatocellular Carcinoma and Bile Duct Invasion
Effect of Biliary Drainage on the Prognosis of Patients with Hepatocellular Carcinoma and Bile Duct Invasion Open
Biliary drainage is an independent favorable prognostic factor for HCC patients with BDI and obstructive jaundice. Therefore, biliary drainage should be contemplated in the treatment of advanced HCC with BDI to improve survival outcomes.
View article: Supplementary Figure S7 from A Machine Learning Algorithm Facilitates Prognosis Prediction and Treatment Selection for Barcelona Clinic Liver Cancer Stage C Hepatocellular Carcinoma
Supplementary Figure S7 from A Machine Learning Algorithm Facilitates Prognosis Prediction and Treatment Selection for Barcelona Clinic Liver Cancer Stage C Hepatocellular Carcinoma Open
Diagrams presenting the relative feature importance of the XGBoost model predicting the 1-year survival of the patients with BCLC-C HCC.
View article: Supplementary Figure S2 from A Machine Learning Algorithm Facilitates Prognosis Prediction and Treatment Selection for Barcelona Clinic Liver Cancer Stage C Hepatocellular Carcinoma
Supplementary Figure S2 from A Machine Learning Algorithm Facilitates Prognosis Prediction and Treatment Selection for Barcelona Clinic Liver Cancer Stage C Hepatocellular Carcinoma Open
A KNIME workflow evaluates the performance of each machine learning algorithm using a derivation cohort.
View article: Supplementary Table S9 from A Machine Learning Algorithm Facilitates Prognosis Prediction and Treatment Selection for Barcelona Clinic Liver Cancer Stage C Hepatocellular Carcinoma
Supplementary Table S9 from A Machine Learning Algorithm Facilitates Prognosis Prediction and Treatment Selection for Barcelona Clinic Liver Cancer Stage C Hepatocellular Carcinoma Open
Comparison of potential prognostic factors before and after propensity-score matching between later-line treatments.
View article: Supplementary Table S8 from A Machine Learning Algorithm Facilitates Prognosis Prediction and Treatment Selection for Barcelona Clinic Liver Cancer Stage C Hepatocellular Carcinoma
Supplementary Table S8 from A Machine Learning Algorithm Facilitates Prognosis Prediction and Treatment Selection for Barcelona Clinic Liver Cancer Stage C Hepatocellular Carcinoma Open
Comparison of potential prognostic factors before and after propensity-score matching between first-line treatments.
View article: Supplementary Table S1 from A Machine Learning Algorithm Facilitates Prognosis Prediction and Treatment Selection for Barcelona Clinic Liver Cancer Stage C Hepatocellular Carcinoma
Supplementary Table S1 from A Machine Learning Algorithm Facilitates Prognosis Prediction and Treatment Selection for Barcelona Clinic Liver Cancer Stage C Hepatocellular Carcinoma Open
Baseline characteristics of study patients from total (n = 2,626), derivation (n = 1,693), and validation (n = 933) cohorts
View article: Supplementary Table S6 from A Machine Learning Algorithm Facilitates Prognosis Prediction and Treatment Selection for Barcelona Clinic Liver Cancer Stage C Hepatocellular Carcinoma
Supplementary Table S6 from A Machine Learning Algorithm Facilitates Prognosis Prediction and Treatment Selection for Barcelona Clinic Liver Cancer Stage C Hepatocellular Carcinoma Open
Cox regression analysis predicts the OS of the derivation cohort (n = 1,693).
View article: Supplementary Table S8 from A Machine Learning Algorithm Facilitates Prognosis Prediction and Treatment Selection for Barcelona Clinic Liver Cancer Stage C Hepatocellular Carcinoma
Supplementary Table S8 from A Machine Learning Algorithm Facilitates Prognosis Prediction and Treatment Selection for Barcelona Clinic Liver Cancer Stage C Hepatocellular Carcinoma Open
Comparison of potential prognostic factors before and after propensity-score matching between first-line treatments.
View article: Supplementary Figure S12 from A Machine Learning Algorithm Facilitates Prognosis Prediction and Treatment Selection for Barcelona Clinic Liver Cancer Stage C Hepatocellular Carcinoma
Supplementary Figure S12 from A Machine Learning Algorithm Facilitates Prognosis Prediction and Treatment Selection for Barcelona Clinic Liver Cancer Stage C Hepatocellular Carcinoma Open
Flow chart of the analysis for first-line systemic chemotherapy.
View article: Supplementary Table S7 from A Machine Learning Algorithm Facilitates Prognosis Prediction and Treatment Selection for Barcelona Clinic Liver Cancer Stage C Hepatocellular Carcinoma
Supplementary Table S7 from A Machine Learning Algorithm Facilitates Prognosis Prediction and Treatment Selection for Barcelona Clinic Liver Cancer Stage C Hepatocellular Carcinoma Open
Comparison of model performances for predicting 6-month, 12-month, and 24-month survival
View article: Supplementary Table S9 from A Machine Learning Algorithm Facilitates Prognosis Prediction and Treatment Selection for Barcelona Clinic Liver Cancer Stage C Hepatocellular Carcinoma
Supplementary Table S9 from A Machine Learning Algorithm Facilitates Prognosis Prediction and Treatment Selection for Barcelona Clinic Liver Cancer Stage C Hepatocellular Carcinoma Open
Comparison of potential prognostic factors before and after propensity-score matching between later-line treatments.
View article: Supplementary Figure S6 from A Machine Learning Algorithm Facilitates Prognosis Prediction and Treatment Selection for Barcelona Clinic Liver Cancer Stage C Hepatocellular Carcinoma
Supplementary Figure S6 from A Machine Learning Algorithm Facilitates Prognosis Prediction and Treatment Selection for Barcelona Clinic Liver Cancer Stage C Hepatocellular Carcinoma Open
SHAP values of each clinical parameter predicting 1-year survival using CLAM-C.
View article: Data from A Machine Learning Algorithm Facilitates Prognosis Prediction and Treatment Selection for Barcelona Clinic Liver Cancer Stage C Hepatocellular Carcinoma
Data from A Machine Learning Algorithm Facilitates Prognosis Prediction and Treatment Selection for Barcelona Clinic Liver Cancer Stage C Hepatocellular Carcinoma Open
Purpose:Given its heterogeneity and diverse clinical outcomes, precise subclassification of Barcelona Clinic Liver Cancer stage C (BCLC-C) hepatocellular carcinoma (HCC) is required for appropriately determining patient prognosis and selec…
View article: Supplementary Figure S7 from A Machine Learning Algorithm Facilitates Prognosis Prediction and Treatment Selection for Barcelona Clinic Liver Cancer Stage C Hepatocellular Carcinoma
Supplementary Figure S7 from A Machine Learning Algorithm Facilitates Prognosis Prediction and Treatment Selection for Barcelona Clinic Liver Cancer Stage C Hepatocellular Carcinoma Open
Diagrams presenting the relative feature importance of the XGBoost model predicting the 1-year survival of the patients with BCLC-C HCC.
View article: Supplementary Figure S14 from A Machine Learning Algorithm Facilitates Prognosis Prediction and Treatment Selection for Barcelona Clinic Liver Cancer Stage C Hepatocellular Carcinoma
Supplementary Figure S14 from A Machine Learning Algorithm Facilitates Prognosis Prediction and Treatment Selection for Barcelona Clinic Liver Cancer Stage C Hepatocellular Carcinoma Open
Comparisons of the OS between very high-risk patients with sorafenib/lenvatinib (n = 236) and atezolizumab+bevacizumab (n = 17) and those who underwent only best-supportive care (n = 56).
View article: Supplementary Table S1 from A Machine Learning Algorithm Facilitates Prognosis Prediction and Treatment Selection for Barcelona Clinic Liver Cancer Stage C Hepatocellular Carcinoma
Supplementary Table S1 from A Machine Learning Algorithm Facilitates Prognosis Prediction and Treatment Selection for Barcelona Clinic Liver Cancer Stage C Hepatocellular Carcinoma Open
Baseline characteristics of study patients from total (n = 2,626), derivation (n = 1,693), and validation (n = 933) cohorts
View article: Supplementary Figure S1 from A Machine Learning Algorithm Facilitates Prognosis Prediction and Treatment Selection for Barcelona Clinic Liver Cancer Stage C Hepatocellular Carcinoma
Supplementary Figure S1 from A Machine Learning Algorithm Facilitates Prognosis Prediction and Treatment Selection for Barcelona Clinic Liver Cancer Stage C Hepatocellular Carcinoma Open
A study flow chart presents machine learning modeling and risk stratification.
View article: Supplementary Table S5 from A Machine Learning Algorithm Facilitates Prognosis Prediction and Treatment Selection for Barcelona Clinic Liver Cancer Stage C Hepatocellular Carcinoma
Supplementary Table S5 from A Machine Learning Algorithm Facilitates Prognosis Prediction and Treatment Selection for Barcelona Clinic Liver Cancer Stage C Hepatocellular Carcinoma Open
Sensitivity analyses compare the performance of the CLAM-C model in predicting 12-month death across different time periods within the study span.
View article: Supplementary Table S2 from A Machine Learning Algorithm Facilitates Prognosis Prediction and Treatment Selection for Barcelona Clinic Liver Cancer Stage C Hepatocellular Carcinoma
Supplementary Table S2 from A Machine Learning Algorithm Facilitates Prognosis Prediction and Treatment Selection for Barcelona Clinic Liver Cancer Stage C Hepatocellular Carcinoma Open
Selected factors of the XGBoost model for the prediction of 12-month survival by the feature selection algorithm.
View article: Supplementary Table S5 from A Machine Learning Algorithm Facilitates Prognosis Prediction and Treatment Selection for Barcelona Clinic Liver Cancer Stage C Hepatocellular Carcinoma
Supplementary Table S5 from A Machine Learning Algorithm Facilitates Prognosis Prediction and Treatment Selection for Barcelona Clinic Liver Cancer Stage C Hepatocellular Carcinoma Open
Sensitivity analyses compare the performance of the CLAM-C model in predicting 12-month death across different time periods within the study span.
View article: Supplementary Figure S9 from A Machine Learning Algorithm Facilitates Prognosis Prediction and Treatment Selection for Barcelona Clinic Liver Cancer Stage C Hepatocellular Carcinoma
Supplementary Figure S9 from A Machine Learning Algorithm Facilitates Prognosis Prediction and Treatment Selection for Barcelona Clinic Liver Cancer Stage C Hepatocellular Carcinoma Open
Subgroup analyses.
View article: Supplementary Figure S13 from A Machine Learning Algorithm Facilitates Prognosis Prediction and Treatment Selection for Barcelona Clinic Liver Cancer Stage C Hepatocellular Carcinoma
Supplementary Figure S13 from A Machine Learning Algorithm Facilitates Prognosis Prediction and Treatment Selection for Barcelona Clinic Liver Cancer Stage C Hepatocellular Carcinoma Open
Application to the patients with first-line and later-line systemic chemotherapy in the propensity-score matched cohort.
View article: Supplementary Table S2 from A Machine Learning Algorithm Facilitates Prognosis Prediction and Treatment Selection for Barcelona Clinic Liver Cancer Stage C Hepatocellular Carcinoma
Supplementary Table S2 from A Machine Learning Algorithm Facilitates Prognosis Prediction and Treatment Selection for Barcelona Clinic Liver Cancer Stage C Hepatocellular Carcinoma Open
Selected factors of the XGBoost model for the prediction of 12-month survival by the feature selection algorithm.
View article: Supplementary Figure S10 from A Machine Learning Algorithm Facilitates Prognosis Prediction and Treatment Selection for Barcelona Clinic Liver Cancer Stage C Hepatocellular Carcinoma
Supplementary Figure S10 from A Machine Learning Algorithm Facilitates Prognosis Prediction and Treatment Selection for Barcelona Clinic Liver Cancer Stage C Hepatocellular Carcinoma Open
Application to each treatment subgroup.
View article: Data from A Machine Learning Algorithm Facilitates Prognosis Prediction and Treatment Selection for Barcelona Clinic Liver Cancer Stage C Hepatocellular Carcinoma
Data from A Machine Learning Algorithm Facilitates Prognosis Prediction and Treatment Selection for Barcelona Clinic Liver Cancer Stage C Hepatocellular Carcinoma Open
Purpose:Given its heterogeneity and diverse clinical outcomes, precise subclassification of Barcelona Clinic Liver Cancer stage C (BCLC-C) hepatocellular carcinoma (HCC) is required for appropriately determining patient prognosis and selec…