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Nomograms to predict survival of stage IV tongue squamous cell carcinoma after surgery

To develop clinical nomograms for prediction of overall survival (OS) and cancer-specific survival (CSS) in patients with stage IV tongue squamous cell carcinoma (TSCC) after surgery based on the Surveillance, Epidemiology, and End Results (SEER) program database. We collected data of resected stage...

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Autores principales: Sun, Wei, Cheng, Minghua, Zhuang, Shaohui, Chen, Huimin, Yang, Shaohui, Qiu, Zeting
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer Health 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6616315/
https://www.ncbi.nlm.nih.gov/pubmed/31261568
http://dx.doi.org/10.1097/MD.0000000000016206
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author Sun, Wei
Cheng, Minghua
Zhuang, Shaohui
Chen, Huimin
Yang, Shaohui
Qiu, Zeting
author_facet Sun, Wei
Cheng, Minghua
Zhuang, Shaohui
Chen, Huimin
Yang, Shaohui
Qiu, Zeting
author_sort Sun, Wei
collection PubMed
description To develop clinical nomograms for prediction of overall survival (OS) and cancer-specific survival (CSS) in patients with stage IV tongue squamous cell carcinoma (TSCC) after surgery based on the Surveillance, Epidemiology, and End Results (SEER) program database. We collected data of resected stage IV TSCC patients from the SEER database, and divided them into the training set and validation set by 7:3 randomly. Kaplan–Meier analysis and Cox regression analysis were adopted to distinguish independent risk factors for OS and CSS. Clinical nomograms were constructed to predict the 3-year and 5-year probabilities of OS and CSS for individual patients. Calibration curves and Harrell C-indices were used for internal and external validation. A total of 1550 patients with resected stage IV TSCC were identified. No statistical differences were detected between the training and validation sets. Age, race, marital status, tumor site, AJCC T/N/M status, and radiotherapy were recognized as independent prognostic factors associated with OS as well as CSS. Then nomograms were developed based on these variables. The calibration curves displayed a good agreement between the predicted and actual values of 3-year and 5-year probabilities for OS and CSS. The C-indices predicting OS were corrected as 0.705 in the training set, and 0.664 in the validation set. As for CSS, corrected C-indices were 0.708 in the training set and 0.663 in the validation set. The established nomograms in this study exhibited good accuracy and effectiveness to predict 3-year and 5-year probabilities of OS and CSS in resected stage IV TSCC patients. They are useful tools to evaluate survival outcomes and helped choose appropriate treatment strategies.
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spelling pubmed-66163152019-07-22 Nomograms to predict survival of stage IV tongue squamous cell carcinoma after surgery Sun, Wei Cheng, Minghua Zhuang, Shaohui Chen, Huimin Yang, Shaohui Qiu, Zeting Medicine (Baltimore) Research Article To develop clinical nomograms for prediction of overall survival (OS) and cancer-specific survival (CSS) in patients with stage IV tongue squamous cell carcinoma (TSCC) after surgery based on the Surveillance, Epidemiology, and End Results (SEER) program database. We collected data of resected stage IV TSCC patients from the SEER database, and divided them into the training set and validation set by 7:3 randomly. Kaplan–Meier analysis and Cox regression analysis were adopted to distinguish independent risk factors for OS and CSS. Clinical nomograms were constructed to predict the 3-year and 5-year probabilities of OS and CSS for individual patients. Calibration curves and Harrell C-indices were used for internal and external validation. A total of 1550 patients with resected stage IV TSCC were identified. No statistical differences were detected between the training and validation sets. Age, race, marital status, tumor site, AJCC T/N/M status, and radiotherapy were recognized as independent prognostic factors associated with OS as well as CSS. Then nomograms were developed based on these variables. The calibration curves displayed a good agreement between the predicted and actual values of 3-year and 5-year probabilities for OS and CSS. The C-indices predicting OS were corrected as 0.705 in the training set, and 0.664 in the validation set. As for CSS, corrected C-indices were 0.708 in the training set and 0.663 in the validation set. The established nomograms in this study exhibited good accuracy and effectiveness to predict 3-year and 5-year probabilities of OS and CSS in resected stage IV TSCC patients. They are useful tools to evaluate survival outcomes and helped choose appropriate treatment strategies. Wolters Kluwer Health 2019-06-28 /pmc/articles/PMC6616315/ /pubmed/31261568 http://dx.doi.org/10.1097/MD.0000000000016206 Text en Copyright © 2019 the Author(s). Published by Wolters Kluwer Health, Inc. http://creativecommons.org/licenses/by-nc-nd/4.0 This is an open access article distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives License 4.0 (CCBY-NC-ND), where it is permissible to download and share the work provided it is properly cited. The work cannot be changed in any way or used commercially without permission from the journal. http://creativecommons.org/licenses/by-nc-nd/4.0
spellingShingle Research Article
Sun, Wei
Cheng, Minghua
Zhuang, Shaohui
Chen, Huimin
Yang, Shaohui
Qiu, Zeting
Nomograms to predict survival of stage IV tongue squamous cell carcinoma after surgery
title Nomograms to predict survival of stage IV tongue squamous cell carcinoma after surgery
title_full Nomograms to predict survival of stage IV tongue squamous cell carcinoma after surgery
title_fullStr Nomograms to predict survival of stage IV tongue squamous cell carcinoma after surgery
title_full_unstemmed Nomograms to predict survival of stage IV tongue squamous cell carcinoma after surgery
title_short Nomograms to predict survival of stage IV tongue squamous cell carcinoma after surgery
title_sort nomograms to predict survival of stage iv tongue squamous cell carcinoma after surgery
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6616315/
https://www.ncbi.nlm.nih.gov/pubmed/31261568
http://dx.doi.org/10.1097/MD.0000000000016206
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