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基于监测、流行病学和最终结果(SEER)数据库的预测唇癌患者长期总生存率和癌症特异性生存率的列线图:一项回顾性病例对照研究。

Nomogram predicting long-term overall survival and cancer-specific survival of lip carcinoma patients based on the SEER database: A retrospective case-control study.

作者信息

Zhao Rui, Jia Tingting, Qiao Bo, Liang Jiawu, Qu Shuang, Zhu Liang, Feng Hang, Xing Lejun, Ren Yipeng, Wang Fengze, Zhang Haizhong

机构信息

Oral and Maxillofacial Surgery Department, The Chinese PLA General Hospital.

Department of Stomatology, The 316th Hospital of Chinese People's Liberation Army, Xiangshan Road, Haidian District, Beijing, China.

出版信息

Medicine (Baltimore). 2019 Aug;98(33):e16727. doi: 10.1097/MD.0000000000016727.

Abstract

Our study was designed to construct nomograms to predict the overall survival (OS) and cancer-specific survival (CSS) of lip carcinoma patients.A search of the Surveillance, Epidemiology, and End Results (SEER) database provided us with detailed clinical data of the 1780 lip carcinoma patients. On the basis of the credible random split-sample method, the 1780 patients were placed into 2 groups, with 890 patients in the modeling group and 890 patients in the counterpart's group (proportion = 1:1). By employing Kaplan-Meier univariate and Cox multivariate survival analyses based on the modeling cohort, the nomograms were developed and then used to divide the modeling cohort into low-risk cohort and high-risk cohort. The survival rates of the 2 groups were calculated. Internal and external evaluation of nomogram accuracy was performed by the concordance index (C-index) and calibration curves.With regard to 5- and 8-year OS and CSS, the C-indexes of internal validation were 0.762 and 0.787, whereas those of external validation reached 0.772 and 0.818, respectively. All the C-indexes were higher than 0.7. The survival curves of the low-risk cohort were obviously better than those of the high-risk cohort.Credible nomograms have been established based on the SEER large-sample population research. We believe these nomograms can contribute to the design of treatment plans and evaluations of individual prognosis.

摘要

我们的研究旨在构建列线图,以预测唇癌患者的总生存期(OS)和癌症特异性生存期(CSS)。对监测、流行病学和最终结果(SEER)数据库的检索为我们提供了1780例唇癌患者的详细临床数据。基于可靠的随机分割样本方法,将1780例患者分为两组,建模组890例,对照组890例(比例 = 1:1)。通过对建模队列进行Kaplan-Meier单因素和Cox多因素生存分析,开发列线图,然后将建模队列分为低风险队列和高风险队列。计算两组的生存率。通过一致性指数(C-index)和校准曲线对列线图准确性进行内部和外部评估。对于5年和8年的OS和CSS,内部验证的C-index分别为0.762和0.787,而外部验证的C-index分别达到0.772和0.818。所有C-index均高于0.7。低风险队列的生存曲线明显优于高风险队列。基于SEER大样本人群研究建立了可靠的列线图。我们相信这些列线图有助于治疗方案的设计和个体预后的评估。

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