Survival prediction of hepatocellular carcinoma patients undergoing radical resection with new nomogram
Objective This study aims to establish a nomogram to detect the survival risks of hepatocellular carcinoma(HCC)patients after surgery.Methods The data of 228 patients with HCC undergoing radical resection in Taizhou Hospital from 2010 to 2016 were retrospectively analyzed and collected as the modeling group,and 133 patients in Taizhou Hospital from 2016 to 2018 were used as the validation group.LASSO regression was used to select variables for clinical and pathological data sets,the risk factors were determined through Cox analysis,and a nomogram was established.Results The nomogram was developed based on γ-glutamyl transferase(GGT),vascular invasion,tumor size,and alpha-fetoprotein(AFP)level.The C-index of the nomogram model was 0.742(95％CI:0.676-0.808).The calibration curve showed that the nomogram had better agreement between predictions and actual observations.Decision curve analysis showed that the nomogram had a better net bene-fit under a higher threshold probability.Conclusion The nomogram model established in this study can objectively and accu-rately predict the overall survival(OS)of patients with HCC after surgery.This study provides evidence for clinicians and patients to develop plans for prognosis monitoring.
NETL
NSTL
万方数据
维普
