Development and Validation of Prognostic Nomogram for Young Patients with Kidney Cancer
Autor: | Lei Zhang, Guangyuan Zhang, Ming Chen, Si Sun, Shengwei Tian, Weipu Mao, Bin Xu, Siwei Qian |
---|---|
Rok vydání: | 2021 |
Předmět: |
Oncology
Multivariate statistics medicine.medical_specialty genetic structures Receiver operating characteristic business.industry Univariate OS International Journal of General Medicine General Medicine Ajcc stage Nomogram urologic and male genital diseases medicine.disease nomogram SEER Internal medicine medicine Overall survival early-onset kidney cancer Stage (cooking) business Kidney cancer CSS Original Research |
Zdroj: | International Journal of General Medicine |
ISSN: | 1178-7074 1801-2949 |
Popis: | Shengwei Tian,1,2,* Si Sun,1,2,* Weipu Mao,1,2,* Siwei Qian,1,2 Lei Zhang,1,2 Guangyuan Zhang,1,2 Bin Xu,1,2 Ming Chen1â 3 1Department of Urology, Zhongda Hospital, Southeast University, Nanjing, 210009, Peopleâs Republic of China; 2Surgical Research Center, Institute of Urology, Southeast University Medical School, Nanjing, 210009, Peopleâs Republic of China; 3Department of Urology, Nanjing Lishui District Peopleâs Hospital, Zhongda Hospital Lishui Branch, Southeast University, Nanjing, 211200, Peopleâs Republic of China*These authors contributed equally to this workCorrespondence: Bin Xu; Ming ChenDepartment of Urology, Zhongda Hospital, Southeast University, No. 87 Dingjiaqiao, Hunan Road, Gulou District, Nanjing, 210009, Peopleâs Republic of ChinaTel +86-18012949196; +86-13913009977Email njxb1982@126.com; mingchenseu@126.comBackground: The aim of this study was to establish a nomogram model to evaluate the prognosis of early-onset kidney cancer (EOKC) in terms of overall survival (OS) and cancer-specific survival (CSS).Methods: Patients with EOKC diagnosed between 2004 and 2015 were collected from Surveillance, Epidemiology and End Results (SEER) and randomly assigned to the training and validation set at a ratio of 2 to 1. Important variables for constructing nomograms were screened by univariate and multivariate Cox analysis. The nomogram model was evaluated using concordance index (C-index), decision curve analysis (DCA) curves, and receiver operating characteristic (ROC) curves.Results: A total of 12,526 EOKC patients were included in the study. OS nomogram was constructed based on gender, age, race, grade, AJCC stage, TNM stage, histology, chemotherapy and radiotherapy. CSS nomogram was constructed based on listed above except gender. In the external validation, the C-index for the OS nomogram was 0.855 (95% CI 0.834â 0.976), and the C-index for the CSS nomogram was 0.938 (0.925â 0.951). High-quality calibration curves were noted in both OS and CSS nomogram models. ROC and DCA curves showed that nomograms had better predictive performance than TNM stage and SEER stage.Conclusion: The nomogram model provides an applicable tool for evaluating the OS and CSS prognosis of EOKC.Keywords: early-onset kidney cancer, nomogram, OS, CSS, SEER |
Databáze: | OpenAIRE |
Externí odkaz: |