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Nomograms for predicting long-term overall survival and cancer-specific survival in patients with major salivary gland cancer: a population-based study

In this study, we aimed to develop and validate nomograms for predicting long-term overall survival (OS) and cancer-specific survival (CSS) in major salivary gland cancer (MSGC) patients. These nomograms were developed using a retrospective cohort (N=4218) from the Surveillance, Epidemiology, and En...

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Autores principales: Li, Yun, Ju, Jun, Liu, Xiaoxiao, Gao, Tao, Wang, Zhidong, Ni, Qianwei, Ma, Chao, Zhao, Zhenyan, Ren, Yixiong, Sun, Moyi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Impact Journals LLC 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5421863/
https://www.ncbi.nlm.nih.gov/pubmed/28160551
http://dx.doi.org/10.18632/oncotarget.14905
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author Li, Yun
Ju, Jun
Liu, Xiaoxiao
Gao, Tao
Wang, Zhidong
Ni, Qianwei
Ma, Chao
Zhao, Zhenyan
Ren, Yixiong
Sun, Moyi
author_facet Li, Yun
Ju, Jun
Liu, Xiaoxiao
Gao, Tao
Wang, Zhidong
Ni, Qianwei
Ma, Chao
Zhao, Zhenyan
Ren, Yixiong
Sun, Moyi
author_sort Li, Yun
collection PubMed
description In this study, we aimed to develop and validate nomograms for predicting long-term overall survival (OS) and cancer-specific survival (CSS) in major salivary gland cancer (MSGC) patients. These nomograms were developed using a retrospective cohort (N=4218) from the Surveillance, Epidemiology, and End Results (SEER) database, and externally validated using an independent data cohort (N=244). We used univariate, and multivariate analyses, and cumulative incidence function to select the independent prognostic factors of OS and CSS. Index of concordance (c-index) and calibration plots were used to estimate the nomograms’ predictive accuracy. The median follow-up period was 34 months (1–119 months). Of 4218 MSGC patients, 1320 (31.3%) died by the end of the follow-up; of these 1320 patients, 883 (20.9%) died of MSGC. The OS nomogram, which had a c-index of 0.817, was based on nine variables: age, sex, tumor site, tumor grade, surgery performed, radiation therapy and TNM classifications. The CSS nomogram, which had a c-index of 0.829, was based on the same nine variables plus race. External validation c-indexes were 0.829 and 0.807 for OS and CSS, respectively. Based on SEER database, we have developed nomograms predicting five- and eight-years OS and CSS for MSGC patients with perfect accuracy. These nomograms will help clinicians customize treatment and monitoring strategies in MSGC patients.
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spelling pubmed-54218632017-05-10 Nomograms for predicting long-term overall survival and cancer-specific survival in patients with major salivary gland cancer: a population-based study Li, Yun Ju, Jun Liu, Xiaoxiao Gao, Tao Wang, Zhidong Ni, Qianwei Ma, Chao Zhao, Zhenyan Ren, Yixiong Sun, Moyi Oncotarget Research Paper In this study, we aimed to develop and validate nomograms for predicting long-term overall survival (OS) and cancer-specific survival (CSS) in major salivary gland cancer (MSGC) patients. These nomograms were developed using a retrospective cohort (N=4218) from the Surveillance, Epidemiology, and End Results (SEER) database, and externally validated using an independent data cohort (N=244). We used univariate, and multivariate analyses, and cumulative incidence function to select the independent prognostic factors of OS and CSS. Index of concordance (c-index) and calibration plots were used to estimate the nomograms’ predictive accuracy. The median follow-up period was 34 months (1–119 months). Of 4218 MSGC patients, 1320 (31.3%) died by the end of the follow-up; of these 1320 patients, 883 (20.9%) died of MSGC. The OS nomogram, which had a c-index of 0.817, was based on nine variables: age, sex, tumor site, tumor grade, surgery performed, radiation therapy and TNM classifications. The CSS nomogram, which had a c-index of 0.829, was based on the same nine variables plus race. External validation c-indexes were 0.829 and 0.807 for OS and CSS, respectively. Based on SEER database, we have developed nomograms predicting five- and eight-years OS and CSS for MSGC patients with perfect accuracy. These nomograms will help clinicians customize treatment and monitoring strategies in MSGC patients. Impact Journals LLC 2017-01-30 /pmc/articles/PMC5421863/ /pubmed/28160551 http://dx.doi.org/10.18632/oncotarget.14905 Text en Copyright: © 2017 Li et al. http://creativecommons.org/licenses/by/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/) (CC-BY), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Paper
Li, Yun
Ju, Jun
Liu, Xiaoxiao
Gao, Tao
Wang, Zhidong
Ni, Qianwei
Ma, Chao
Zhao, Zhenyan
Ren, Yixiong
Sun, Moyi
Nomograms for predicting long-term overall survival and cancer-specific survival in patients with major salivary gland cancer: a population-based study
title Nomograms for predicting long-term overall survival and cancer-specific survival in patients with major salivary gland cancer: a population-based study
title_full Nomograms for predicting long-term overall survival and cancer-specific survival in patients with major salivary gland cancer: a population-based study
title_fullStr Nomograms for predicting long-term overall survival and cancer-specific survival in patients with major salivary gland cancer: a population-based study
title_full_unstemmed Nomograms for predicting long-term overall survival and cancer-specific survival in patients with major salivary gland cancer: a population-based study
title_short Nomograms for predicting long-term overall survival and cancer-specific survival in patients with major salivary gland cancer: a population-based study
title_sort nomograms for predicting long-term overall survival and cancer-specific survival in patients with major salivary gland cancer: a population-based study
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5421863/
https://www.ncbi.nlm.nih.gov/pubmed/28160551
http://dx.doi.org/10.18632/oncotarget.14905
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