Analysis of prognostic factors and construction of a nomogram for lenvatinib treatment in unresectable hepatocellular carcinoma
Objective:To develop and validate a nomogram model for predicting the survival outcomes of unresect-able hepatocellular carcinoma(uHCC)patients treated with lenvatinib.Methods:We retrospectively included 170 uHCC patients treated with lenvatinib(training cohort:n=118,validation cohort:n=52).Univariate Cox regression was used to screen for potential factors affecting OS,and multivariate Cox analysis was used to assess independent prognostic factors and construct the nomogram model.The model's performance and predictive accuracy were evaluated using the concordance index(C-index),calibration curves,and decision curve analysis(DC A).Results:The final model was built using six factors that affect prognosis.The C-index of the nomogram in the training cohort and vali-dation cohort was 0.763 and 0.784 respectively.Calibration curve showed good agreement between predicted proba-bilities and actual outcomes.Based on the nomogram scores,the mOS for low and high-risk groups was 15.5 and 12.1 months,respectively(P=0.000).Conclusion:The nomogram model in this study demonstrated favorable pre-dictive performance,capable of accurately predicting the survival outcomes of uHCC patients receiving lenvatinib treatment.
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维普
