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Construction of a survival prediction model for high-and low -grade UTUC after tumor resection based on “SEER database”: a multicenter study

BACKGROUND: There are differences in survival between high-and low-grade Upper Tract Urothelial Carcinoma (UTUC). Our study aimed to develop a nomogram to predict overall survival (OS) of patients with high- and low-grade UTUC after tumor resection, and to explore the difference between high- and lo...

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Autores principales: Wang, Mengmeng, Ren, Xin, Wang, Ge, Sun, Xiaomin, Tang, Shifeng, Zhang, Baogang, Xing, Xiaoming, Zhang, Wenfeng, Gao, Guojun, Du, Jing, Zhang, Shukun, Liu, Lijuan, Zheng, Xia, Zhang, Zhenkun, Sun, Changgang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8424798/
https://www.ncbi.nlm.nih.gov/pubmed/34493229
http://dx.doi.org/10.1186/s12885-021-08742-3
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author Wang, Mengmeng
Ren, Xin
Wang, Ge
Sun, Xiaomin
Tang, Shifeng
Zhang, Baogang
Xing, Xiaoming
Zhang, Wenfeng
Gao, Guojun
Du, Jing
Zhang, Shukun
Liu, Lijuan
Zheng, Xia
Zhang, Zhenkun
Sun, Changgang
author_facet Wang, Mengmeng
Ren, Xin
Wang, Ge
Sun, Xiaomin
Tang, Shifeng
Zhang, Baogang
Xing, Xiaoming
Zhang, Wenfeng
Gao, Guojun
Du, Jing
Zhang, Shukun
Liu, Lijuan
Zheng, Xia
Zhang, Zhenkun
Sun, Changgang
author_sort Wang, Mengmeng
collection PubMed
description BACKGROUND: There are differences in survival between high-and low-grade Upper Tract Urothelial Carcinoma (UTUC). Our study aimed to develop a nomogram to predict overall survival (OS) of patients with high- and low-grade UTUC after tumor resection, and to explore the difference between high- and low-grade patients. METHODS: Patients confirmed to have UTUC between 2004 and 2015 were selected from the Surveillance, Epidemiology and End Results (SEER) database. The UTUCs were identified and classified as high- and low-grade, and 1-, 3- and 5-year nomograms were established. The nomogram was then validated using the Chinese multicenter dataset (patients diagnosed in Shandong, China between January 2010 and October 2020). RESULTS: In the high-grade UTUC patients, nine important factors related to survival after tumor resection were identified to construct nomogram. The C index of training dataset was 0.740 (95% confidence interval [CI]: 0.727–0.754), showing good calibration. The C index of internal validation dataset was 0.729(95% CI:0.707–0.750). On the other hand, Two independent predictors were identified to construct nomogram of low-grade UTUC. The C index was 0.714 (95% CI: 0.671–0.758) for the training set,0.731(95% CI:0.670–0.791) for the internal validation dataset. Encouragingly, the nomogram was clinically useful and had a good discriminative ability to identify patients at high risk. CONCLUSION: We constructed a nomogram and a corresponding risk classification system predicting the OS of patients with an initial diagnosis of high-and low-grade UTUC. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12885-021-08742-3.
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spelling pubmed-84247982021-09-10 Construction of a survival prediction model for high-and low -grade UTUC after tumor resection based on “SEER database”: a multicenter study Wang, Mengmeng Ren, Xin Wang, Ge Sun, Xiaomin Tang, Shifeng Zhang, Baogang Xing, Xiaoming Zhang, Wenfeng Gao, Guojun Du, Jing Zhang, Shukun Liu, Lijuan Zheng, Xia Zhang, Zhenkun Sun, Changgang BMC Cancer Research BACKGROUND: There are differences in survival between high-and low-grade Upper Tract Urothelial Carcinoma (UTUC). Our study aimed to develop a nomogram to predict overall survival (OS) of patients with high- and low-grade UTUC after tumor resection, and to explore the difference between high- and low-grade patients. METHODS: Patients confirmed to have UTUC between 2004 and 2015 were selected from the Surveillance, Epidemiology and End Results (SEER) database. The UTUCs were identified and classified as high- and low-grade, and 1-, 3- and 5-year nomograms were established. The nomogram was then validated using the Chinese multicenter dataset (patients diagnosed in Shandong, China between January 2010 and October 2020). RESULTS: In the high-grade UTUC patients, nine important factors related to survival after tumor resection were identified to construct nomogram. The C index of training dataset was 0.740 (95% confidence interval [CI]: 0.727–0.754), showing good calibration. The C index of internal validation dataset was 0.729(95% CI:0.707–0.750). On the other hand, Two independent predictors were identified to construct nomogram of low-grade UTUC. The C index was 0.714 (95% CI: 0.671–0.758) for the training set,0.731(95% CI:0.670–0.791) for the internal validation dataset. Encouragingly, the nomogram was clinically useful and had a good discriminative ability to identify patients at high risk. CONCLUSION: We constructed a nomogram and a corresponding risk classification system predicting the OS of patients with an initial diagnosis of high-and low-grade UTUC. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12885-021-08742-3. BioMed Central 2021-09-07 /pmc/articles/PMC8424798/ /pubmed/34493229 http://dx.doi.org/10.1186/s12885-021-08742-3 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Wang, Mengmeng
Ren, Xin
Wang, Ge
Sun, Xiaomin
Tang, Shifeng
Zhang, Baogang
Xing, Xiaoming
Zhang, Wenfeng
Gao, Guojun
Du, Jing
Zhang, Shukun
Liu, Lijuan
Zheng, Xia
Zhang, Zhenkun
Sun, Changgang
Construction of a survival prediction model for high-and low -grade UTUC after tumor resection based on “SEER database”: a multicenter study
title Construction of a survival prediction model for high-and low -grade UTUC after tumor resection based on “SEER database”: a multicenter study
title_full Construction of a survival prediction model for high-and low -grade UTUC after tumor resection based on “SEER database”: a multicenter study
title_fullStr Construction of a survival prediction model for high-and low -grade UTUC after tumor resection based on “SEER database”: a multicenter study
title_full_unstemmed Construction of a survival prediction model for high-and low -grade UTUC after tumor resection based on “SEER database”: a multicenter study
title_short Construction of a survival prediction model for high-and low -grade UTUC after tumor resection based on “SEER database”: a multicenter study
title_sort construction of a survival prediction model for high-and low -grade utuc after tumor resection based on “seer database”: a multicenter study
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8424798/
https://www.ncbi.nlm.nih.gov/pubmed/34493229
http://dx.doi.org/10.1186/s12885-021-08742-3
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