Predictive factors of improved postoperative results after surgery for patients with hepatocellular carcinoma: A retrospective study

Introduction Several clinical studies have demonstrated the benefits of surgery for patients with hepatocellular carcinoma .The goal of our study was to identify prognostic factors associated with overall survival and recurrence-free survival in patients with HCC Material and methods We retrospectively conducted follow-up evaluations of 176 patients with HCC up to 10 years after resection. All of enrolled patients were divided into two groups: those who survived less than 3 years and those who survived more than 3 years.Independent prognostic factors associated with OS and RFS were determined via uni,multi Cox model. Two prognostic nomogram models were built on the basis of the data and evaluated via the concordance index.The calibration curves indicated that the two nomograms performed well over 5-year. Additionally,area under the receiver operating characteristic curve and the time-dependent area under the ROC curve (AUC) were determined,decision curve analyses were conducted Results The nomograms successfully discriminated HCC patients. Prognostic factors for OS and RFS were identified, and nomograms were successfully built.calibration discrimination was good, prediction models (C-indexes: 0.815 and 0.80, respectively).Our nomograms and calibration curves demonstrated favorable results with strong predictive accuracy and ROC curves, and according to the DCA, our nomogram results showed greater net clinical benefit. The KM plots for OS and RFS were generated via the log-rank test, the P value of which was <0.001. Ultimately. Conclusions We established nomogram survival prediction models to predict the prognosis of HCC after invasive treatment and achieved an acceptable level of accuracy in both OS and RFS analyses.These guiding clinical treatment strategies.