Nomogram based on intramuscular adipose tissue content for predicting the prognosis of patients with gallbladder cancer after radical resection

Abstract

Background: To investigate the predictive value of intramuscular adipose tissue content (IMAC) on the outcome of gallbladder cancer (GBC) patients after resection, by then develop and evaluate a nomogram to predict the prognosis of GBC patients. Methods: This research incorporated 123 patients with a pathological diagnosis of GBC. Evaluating the prognosis by the Kaplan-Meier method. Independent predictors of overall survival (OS) were screened using multifactorial Cox regression analysis, and a nomogram was constructed from these. Consistency index and calibration curve were used to identify and calibrate the nomogram. The accuracy of the nomogram was assessed by receiver operating characteristic (ROC) curve and decision curve analysis (DCA) was used to assess the net benefit. Results: Patients with high IMAC showed a worse prognosis. A nomogram was constructed to predict OS based on IMAC. The C-index for the nomogram was 0.804. The calibration curve showed well performance of the nomogram. The area under the ROC curve (AUC) for the nomogram at three and five years was 0.839 and 0.785, respectively. A high net benefit was demonstrated by DCA. Conclusions: IMAC was a valid predictor for GBC patients. A nomogram with good performance is constructed to predict the prognosis of GBC patients.