Abstract:
ob<x>jective To explore the risk and prognostic factors that affect the diagnosis of nasopharyngeal carcinoma (NPC). Methods Patients diagnosed with nasopharyngeal cancer between 2010 and 2015 were extracted from the SEER databa<x>se using SEER*Stat software. Univariate and multivariate Cox regression analysis were used to explore the clinical factors affecting the prognosis of patients with nasopharyngeal carcinoma. F inally, a nomogram was established to predict the 1-year, the 3- and 5-year cancer-specific survival (CSS) rate. The discriminatory and predictive capacities of the nomogram were assessed by concordance index (C-index), calibration plots, area under the curve (AUC) and time-dependent receiver operating characteristic curve. The clinical use of nomograms was estimated by decision curve analysis (DCA). Results A cohort of 367 patients with NPC was analyzed. Multivariate * 通信作者,E-mail: jixiangbull@126.comestimated by decision curve analysis (DCA). Results A cohort of 367 patients with NPC was analyzed. Multivariate analysis showed that race, marital status, AJCC T, AJCC N, radiation, liver-me<x>tastasis, age at diagnosis were independently associated with CSS. ROC curve analysis showed that the 1-, 3-, and 5- year overall survival rates (AUC) were greater than 0.65, and internal and external calibration plots showed excellent agreement between nomogram prediction and observed outcomes. T he decision curve showed that the nomogram had better clinical benefits than radiotherapy. Conclusion The nomogram can accurately predict the prognosis of patients with nasopharyngeal carcinoma and has good clinical application value