Nomogram predicting long-term overall survival and cancer-specific survival of lip carcinoma patients based on the SEER database: A retrospective case–control study. Issue 33 (August 2019)

• Record Type: Journal Article
• Authors: Zhao, Rui; Jia, Tingting; Qiao, Bo; Liang, Jiawu; Qu, Shuang; Zhu, Liang; Feng, Hang; Xing, Lejun; Ren, Yipeng; Wang, Fengze; Zhang, Haizhong
• Other Names: Efird. Jimmy T. section editor.
• Is Part Of: Medicine. Volume 98:Issue 33(2019)
• Publication Date: 2019-08
• Subjects: cancer-specific survival -- lip carcinoma -- nomogram -- overall survival -- Surveillance, Epidemiology, and End Results; Medicine -- Periodicals; Medicine -- Periodicals; Médecine -- Périodiques; Geneeskunde; Medicine; Periodicals; Periodicals; 610.5
• DOI: 10.1097/MD.0000000000016727
• Languages: English
• ISSNs: 0025-7974

Abstract

Abstract : 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.