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

• Published in: Medicine (Baltimore) 2019-08, Vol.98 (33), p.e16727-e16727
• Main Authors: Zhao, Rui, Jia, Tingting, Qiao, Bo, Liang, Jiawu, Qu, Shuang, Zhu, Liang, Feng, Hang, Xing, Lejun, Ren, Yipeng, Wang, Fengze, Zhang, Haizhong
• Format: Article
• Language: English
• Subjects: Adolescent; Adult; Aged; Aged, 80 and over; Carcinoma - mortality; Case-Control Studies; Female; Humans; Kaplan-Meier Estimate; Lip Neoplasms - mortality; Male; Middle Aged; Multivariate Analysis; Nomograms; Observational Study; Prognosis; Proportional Hazards Models; Retrospective Studies; SEER Program; Survival Rate; Young Adult
• ISSN: 0025-7974; 1536-5964
• DOI: 10.1097/MD.0000000000016727

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.