Department of Ophthalmology, Chengdu First People's Hospital, Sichuan Province, 610041, China.
Department of Nephrology, Chengdu First People's Hospital, Sichuan Province, 610041, China.
Dis Markers. 2022 Oct 15;2022:5427579. doi: 10.1155/2022/5427579. eCollection 2022.
Exploring the risk factors of conjunctival squamous cell carcinoma (CSCC) and establishing a prognostic model.
Information on patients with CSCC was extracted from the SEER database, conducting a retrospective study. 650 patients with CSCC were finally included in the model. Descriptive analysis was performed by Chi-square test and -test. The risk factors of CSCC were explored by COX multivariate analysis, and the corresponding prognostic model was established as a result.
The all-cause mortality rate of CSCC was 38.3%, and the risk factors were age (HR = 1.077), sex (HR = 0.691), grade (HR = 7.857), laterality (HR = 1.403), N (HR = 7.195), M (HR = 0.217), and surgery (HR = 1.618), all < 0.05. The new model had C index and area under curve ROC (AUC) value greater than 0.7. Calibration curve, Net Reclassification Index (NRI), Integrated Discrimination Improvement (IDI), and Decision Curve Analysis (DCA) indicate the new model has better predictive performance than the American Joint Committee on Cancer (AJCC-TNM).
Compared with the clinical guidance of AJCC (TNM) for patients with CSCC, the established model exhibits good performance and can provide guidance for clinical decision-making.
探讨结膜鳞状细胞癌（CSCC）的危险因素，并建立预后模型。
从 SEER 数据库中提取 CSCC 患者的信息，进行回顾性研究。最终纳入模型的 CSCC 患者为 650 例。采用卡方检验和 t 检验进行描述性分析。采用 COX 多因素分析探讨 CSCC 的危险因素，并建立相应的预后模型。
CSCC 的全因死亡率为 38.3%，其危险因素为年龄（HR = 1.077）、性别（HR = 0.691）、分级（HR = 7.857）、侧别（HR = 1.403）、N 分期（HR = 7.195）、M 分期（HR = 0.217）和手术（HR = 1.618），均 < 0.05。新模型的 C 指数和 ROC 曲线下面积（AUC）值大于 0.7。校准曲线、净重新分类指数（NRI）、综合判别改善（IDI）和决策曲线分析（DCA）表明，新模型的预测性能优于美国癌症联合委员会（AJCC-TNM）。
与 CSCC 患者的 AJCC（TNM）临床指导相比，建立的模型具有良好的性能，可以为临床决策提供指导。
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