Nomograms for predicting survival in patients with gastric carcinoid or neuroendocrine carcinoma based on the SEER database

OBJECTIVE: The aim of this study was to construct a competent model that can effectively predict the prognosis of patients with gastric carcinoid (GC) or neuroendocrine carcinoma (NEC).PATIENTS AND METHODS: Data of patients with GC or NEC were retrieved from the Surveil-lance, Epidemiology, and End Results (SEER) database from 1975 to 2017. Univariable and multivariable Cox analysis was used to deter-mine the independent factors for patients with GC or NEC. Nomograms were established based on the independent factors and the results were evaluated using receiver operating characteris-tic (ROC) curves, calibration curves, and deci-sion curve analysis (DCA).RESULTS: A total of 214 patients with GC and 65 patients with gastric NEC were extracted from the SEER database. Independent prognostic fac-tors for patients with GC were M stage, gender, age, and chemotherapy. Independent prognos-tic factors for patients with gastric NEC includ-ed age, M stage, and chemotherapy. ROC curves, calibration curves, and DCA confirmed that the nomograms can precisely predict the prognosis of patients with GC and NEC. CONCLUSIONS: The nomograms can effec-tively predict survival in patients with GC or NEC, which may assist the clinician in their de-cision-making and quantitatively judge the prog-nosis of individual patients.