In order to establish nomograms that could forecast the postoperative survival for patients with appendiceal cancer after surgery, this study collected 5945 patients with surgically removed appendiceal cancer from the Surveillance, Epidemiology, and End Results database. Overall survival (OS) and cancer-specific survival (CSS) were analyzed by Cox regression analysis and nomograms. The population was randomly separated into a training group (n = 3963) and a validation group (n = 1982). Age, histological grade, T stage, N stage, regional nodes examination, tumor size, and CEA were independent prognostic factors for OS and were used in the nomogram. In addition, radiotherapy and chemotherapy were independent prognostic factors for CSS. The C-index values of the nomograms predicting postoperative OS and CSS were 0.76 (95% CI 0.74–0.78) and 0.80 (95% CI 0.78–0.82) in the training group and 0.77 (95% CI 0.74–0.79) and 0.81 (95% CI 0.78–0.84) in the validation group. Moreover, nomograms were better than traditional American Joint Committee on Cancer (AJCC) TNM 8th Edition Staging System in predicting prognosis derived from the results of DCA and ROC curves. In a word, we constructed new nomograms based on a large database that can accurately predict the OS and CSS of patients with appendiceal cancer after surgery.

为了建立可预测阑尾癌患者术后生存率的列线图，本研究从监测，流行病学和最终结果数据库中收集了5945例经手术切除阑尾癌的患者。通过Cox回归分析和列线图分析了总生存期（OS）和癌症特异性生存期（CSS）。将人群随机分为训练组（n = 3963）和验证组（n= 1982）。年龄，组织学分级，T期，N期，区域淋巴结检查，肿瘤大小和CEA是OS的独立预后因素，并用于列线图。此外，放疗和化疗是CSS的独立预后因素。预测术后OS和CSS的列线图的C指数值在训练组中分别为0.76（95％CI 0.78–0.82）和0.80（95％CI 0.78–0.82）和0.77（95％CI 0.74–0.79）和0.81（验证组中95％CI 0.78–0.84）。此外，在根据DCA和ROC曲线的结果预测预后方面，列线图优于传统的美国癌症联合委员会（AJCC）TNM第8版分期系统。总之，我们基于一个大型数据库构建了新的列线图，该数据库可以准确预测术后阑尾癌患者的OS和CSS。