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Nomogram forecasting 3‐, 5‐, and 8‐year overall survival and cancer‐specific survival of gingival squamous cell carcinoma
No nomogram models addressing the personalized prognosis evaluation of patients with gingival squamous cell carcinoma (GSCC) have been documented. We sought to establish nomograms to forecast overall survival (OS) and cancer‐specific survival (CSS) of patients with GSCC. We collected the detailed cl...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7643637/ https://www.ncbi.nlm.nih.gov/pubmed/32960497 http://dx.doi.org/10.1002/cam4.3436 |
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author | Yan, Lei Deng, Weizhuo Guan, Lina Xu, Hao |
author_facet | Yan, Lei Deng, Weizhuo Guan, Lina Xu, Hao |
author_sort | Yan, Lei |
collection | PubMed |
description | No nomogram models addressing the personalized prognosis evaluation of patients with gingival squamous cell carcinoma (GSCC) have been documented. We sought to establish nomograms to forecast overall survival (OS) and cancer‐specific survival (CSS) of patients with GSCC. We collected the detailed clinicopathological information of 2505 patients with GSCC from the Surveillance, Epidemiology and End Results (SEER) program. Afterward, we divided the 2505 cases into a modeling group (n = 1253) and an external validation cohort (n = 1252) via random split‐sample method. We developed the nomograms on the basis of the Kaplan‐Meier and multivariate Cox survival analysis of the modeling group and then split the modeling cohort into two parts based on cut‐off values: high‐ and low‐risk cohorts. An improved survival was shown in the low‐risk group compared to their counterpart, with a significant difference after the log‐rank test. The performance of the nomograms was evaluated via concordance‐index (C‐index), the area under the receiver operating characteristic curve (AUC), and calibration curves. All the C‐indexes and AUCs were greater than 0.7, showing high accuracy. Moreover, the calibrations showed that the actual observations were close to the 45° perfect reference line. In conclusion, we successfully developed two nomograms to provide individualized, patient‐specific estimates of OS and CSS available for risk‐stratification. |
format | Online Article Text |
id | pubmed-7643637 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-76436372020-11-13 Nomogram forecasting 3‐, 5‐, and 8‐year overall survival and cancer‐specific survival of gingival squamous cell carcinoma Yan, Lei Deng, Weizhuo Guan, Lina Xu, Hao Cancer Med Cancer Prevention No nomogram models addressing the personalized prognosis evaluation of patients with gingival squamous cell carcinoma (GSCC) have been documented. We sought to establish nomograms to forecast overall survival (OS) and cancer‐specific survival (CSS) of patients with GSCC. We collected the detailed clinicopathological information of 2505 patients with GSCC from the Surveillance, Epidemiology and End Results (SEER) program. Afterward, we divided the 2505 cases into a modeling group (n = 1253) and an external validation cohort (n = 1252) via random split‐sample method. We developed the nomograms on the basis of the Kaplan‐Meier and multivariate Cox survival analysis of the modeling group and then split the modeling cohort into two parts based on cut‐off values: high‐ and low‐risk cohorts. An improved survival was shown in the low‐risk group compared to their counterpart, with a significant difference after the log‐rank test. The performance of the nomograms was evaluated via concordance‐index (C‐index), the area under the receiver operating characteristic curve (AUC), and calibration curves. All the C‐indexes and AUCs were greater than 0.7, showing high accuracy. Moreover, the calibrations showed that the actual observations were close to the 45° perfect reference line. In conclusion, we successfully developed two nomograms to provide individualized, patient‐specific estimates of OS and CSS available for risk‐stratification. John Wiley and Sons Inc. 2020-09-22 /pmc/articles/PMC7643637/ /pubmed/32960497 http://dx.doi.org/10.1002/cam4.3436 Text en © 2020 The Authors. Cancer Medicine published by John Wiley & Sons Ltd. This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Cancer Prevention Yan, Lei Deng, Weizhuo Guan, Lina Xu, Hao Nomogram forecasting 3‐, 5‐, and 8‐year overall survival and cancer‐specific survival of gingival squamous cell carcinoma |
title | Nomogram forecasting 3‐, 5‐, and 8‐year overall survival and cancer‐specific survival of gingival squamous cell carcinoma |
title_full | Nomogram forecasting 3‐, 5‐, and 8‐year overall survival and cancer‐specific survival of gingival squamous cell carcinoma |
title_fullStr | Nomogram forecasting 3‐, 5‐, and 8‐year overall survival and cancer‐specific survival of gingival squamous cell carcinoma |
title_full_unstemmed | Nomogram forecasting 3‐, 5‐, and 8‐year overall survival and cancer‐specific survival of gingival squamous cell carcinoma |
title_short | Nomogram forecasting 3‐, 5‐, and 8‐year overall survival and cancer‐specific survival of gingival squamous cell carcinoma |
title_sort | nomogram forecasting 3‐, 5‐, and 8‐year overall survival and cancer‐specific survival of gingival squamous cell carcinoma |
topic | Cancer Prevention |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7643637/ https://www.ncbi.nlm.nih.gov/pubmed/32960497 http://dx.doi.org/10.1002/cam4.3436 |
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