Yongfei Tang, Jingping Yuan , Yabing Huang, Honglin Yan, Lin Liu, Na Zhan, Huihua He
{"title":"预测IV期肾细胞癌患者总生存期和癌症特异性生存期的nomogram:一项基于SEER人群的研究","authors":"Yongfei Tang, Jingping Yuan , Yabing Huang, Honglin Yan, Lin Liu, Na Zhan, Huihua He","doi":"10.26599/NTM.2023.9130014","DOIUrl":null,"url":null,"abstract":"<div><p>Background: The purpose of this study was to explore independent favorable prognostic factors for predicting 1-, 3-, and 5-year overall survival (OS) and cancer-specific survival (CSS) in patients with stage IV cell renal cell carcinoma (RCC) by constructing nomograms. Methods: A total of 2636 patients diagnosed with stage IV RCC from 2010 to 2015 were enrolled in the surveillance, epidemiology, and end results database. Multivariate Cox hazard regression and competing risk analysis were used for searching prognosis factors in the cohort. The nomograms were constructed for predicting 1-, 3-, and 5-year of OS and CSS. Concordance index (C-index) and the calibration curves were used to evaluate the discrimination and accuracy of the nomograms. Results: Age, nephrectomy, histology, N stage, and brain/liver/lung metastasis were identified as independent favorable prognostic factors in OS and CSS via univariate and multivariate analyses. Other variables were further selected by clinical practice and net reclassification improvement (NRI). Finally, age, nephrectomy, histology, grade, tumor size, T stage, N stage, and bone/brain/liver/lung metastasis were chosen to construct nomograms. The C-index of the OS and CSS in nomograms were 0.697 (95% confidence interval (CI), 0.683-0.711) and 0.655 (95% CI, 0.639-0.671), respectively. The calibration curves revealed high consistency between the nomograms prediction and actual observation. Conclusions: The nomograms may help clinicians to conveniently predict the survival of RCC patients with stage IV and provide guidance in choosing the suitable management.</p></div>","PeriodicalId":100941,"journal":{"name":"Nano TransMed","volume":"2 1","pages":"Article e9130014"},"PeriodicalIF":0.0000,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2790676023000328/pdfft?md5=e6fa38c198f1156065982fb433decf53&pid=1-s2.0-S2790676023000328-main.pdf","citationCount":"0","resultStr":"{\"title\":\"Nomograms for predicting overall survival and cancer-specific survival of patients with stage IV renal cell carcinoma: A SEER population-based study\",\"authors\":\"Yongfei Tang, Jingping Yuan , Yabing Huang, Honglin Yan, Lin Liu, Na Zhan, Huihua He\",\"doi\":\"10.26599/NTM.2023.9130014\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Background: The purpose of this study was to explore independent favorable prognostic factors for predicting 1-, 3-, and 5-year overall survival (OS) and cancer-specific survival (CSS) in patients with stage IV cell renal cell carcinoma (RCC) by constructing nomograms. Methods: A total of 2636 patients diagnosed with stage IV RCC from 2010 to 2015 were enrolled in the surveillance, epidemiology, and end results database. Multivariate Cox hazard regression and competing risk analysis were used for searching prognosis factors in the cohort. The nomograms were constructed for predicting 1-, 3-, and 5-year of OS and CSS. Concordance index (C-index) and the calibration curves were used to evaluate the discrimination and accuracy of the nomograms. Results: Age, nephrectomy, histology, N stage, and brain/liver/lung metastasis were identified as independent favorable prognostic factors in OS and CSS via univariate and multivariate analyses. Other variables were further selected by clinical practice and net reclassification improvement (NRI). Finally, age, nephrectomy, histology, grade, tumor size, T stage, N stage, and bone/brain/liver/lung metastasis were chosen to construct nomograms. The C-index of the OS and CSS in nomograms were 0.697 (95% confidence interval (CI), 0.683-0.711) and 0.655 (95% CI, 0.639-0.671), respectively. The calibration curves revealed high consistency between the nomograms prediction and actual observation. Conclusions: The nomograms may help clinicians to conveniently predict the survival of RCC patients with stage IV and provide guidance in choosing the suitable management.</p></div>\",\"PeriodicalId\":100941,\"journal\":{\"name\":\"Nano TransMed\",\"volume\":\"2 1\",\"pages\":\"Article e9130014\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-03-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.sciencedirect.com/science/article/pii/S2790676023000328/pdfft?md5=e6fa38c198f1156065982fb433decf53&pid=1-s2.0-S2790676023000328-main.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Nano TransMed\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2790676023000328\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nano TransMed","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2790676023000328","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Nomograms for predicting overall survival and cancer-specific survival of patients with stage IV renal cell carcinoma: A SEER population-based study
Background: The purpose of this study was to explore independent favorable prognostic factors for predicting 1-, 3-, and 5-year overall survival (OS) and cancer-specific survival (CSS) in patients with stage IV cell renal cell carcinoma (RCC) by constructing nomograms. Methods: A total of 2636 patients diagnosed with stage IV RCC from 2010 to 2015 were enrolled in the surveillance, epidemiology, and end results database. Multivariate Cox hazard regression and competing risk analysis were used for searching prognosis factors in the cohort. The nomograms were constructed for predicting 1-, 3-, and 5-year of OS and CSS. Concordance index (C-index) and the calibration curves were used to evaluate the discrimination and accuracy of the nomograms. Results: Age, nephrectomy, histology, N stage, and brain/liver/lung metastasis were identified as independent favorable prognostic factors in OS and CSS via univariate and multivariate analyses. Other variables were further selected by clinical practice and net reclassification improvement (NRI). Finally, age, nephrectomy, histology, grade, tumor size, T stage, N stage, and bone/brain/liver/lung metastasis were chosen to construct nomograms. The C-index of the OS and CSS in nomograms were 0.697 (95% confidence interval (CI), 0.683-0.711) and 0.655 (95% CI, 0.639-0.671), respectively. The calibration curves revealed high consistency between the nomograms prediction and actual observation. Conclusions: The nomograms may help clinicians to conveniently predict the survival of RCC patients with stage IV and provide guidance in choosing the suitable management.