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Original Research

Nomogram for Predicting the Prognosis of Patients with Hepatocellular Carcinoma Presenting with Pulmonary Metastasis

, , , , &
Pages 2083-2094 | Published online: 01 Mar 2021

Figures & data

Table 1 Multivariable Logistic Regression Analysis of Characteristics of Patients with Hepatocellular Carcinoma Presenting with Pulmonary Metastasis at the Initial Diagnosis (%)

Table 2 Comparison of Characteristics of the Primary and Validation Sets (%)

Table 3 Univariate and Multivariate Analysis of Overall Survival for the Primary Set

Figure 1 Nomogram for predicting the overall survival of patients with hepatocellular carcinoma (HCC) presenting with pulmonary metastasis.

Figure 1 Nomogram for predicting the overall survival of patients with hepatocellular carcinoma (HCC) presenting with pulmonary metastasis.

Figure 2 Calibration curves for the nomograms. The nomograms predicted the 1- (A for the primary cohort, B for the validation cohort), 2-year (C for the primary cohort, D for the validation cohort) and 3-year (E for the primary cohort, F for the validation cohort) overall survival of patients with hepatocellular carcinoma (HCC) presenting with pulmonary metastasis.

Figure 2 Calibration curves for the nomograms. The nomograms predicted the 1- (A for the primary cohort, B for the validation cohort), 2-year (C for the primary cohort, D for the validation cohort) and 3-year (E for the primary cohort, F for the validation cohort) overall survival of patients with hepatocellular carcinoma (HCC) presenting with pulmonary metastasis.