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Development and validation of a nomogram for predicting the overall survival of prostate cancer patients: a large population-based cohort study

BACKGROUND: Prostate cancer (PC) is the second most common malignant tumor, and its survival is of great concern. However, the assessment of survival risk in current studies is limited. This study is to develop and validate a nomogram for the prediction of survival in PC patients using data from the...

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Autores principales: Zhou, Zheng, Pu, Jinxian, Wei, Xuedong, Huang, Yuhua, Lin, Yuxin, Wang, Liangliang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AME Publishing Company 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9547153/
https://www.ncbi.nlm.nih.gov/pubmed/36217401
http://dx.doi.org/10.21037/tau-22-498
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author Zhou, Zheng
Pu, Jinxian
Wei, Xuedong
Huang, Yuhua
Lin, Yuxin
Wang, Liangliang
author_facet Zhou, Zheng
Pu, Jinxian
Wei, Xuedong
Huang, Yuhua
Lin, Yuxin
Wang, Liangliang
author_sort Zhou, Zheng
collection PubMed
description BACKGROUND: Prostate cancer (PC) is the second most common malignant tumor, and its survival is of great concern. However, the assessment of survival risk in current studies is limited. This study is to develop and validate a nomogram for the prediction of survival in PC patients using data from the Surveillance, Epidemiology, and End Results (SEER) database. METHODS: A total of 153,796 PC patients were included in this cohort study. Patients were divided into a training set (n=107,657) and a testing set (n=46,139). The 3-, 5- and 10-year survival of the PC patients were regarded as the outcomes. Predictors based on the demographic and pathological data for survival were identified by multivariate Cox regression analysis to develop the predictive nomogram. Internal and subgroup validations were performed to assess the predictive performance of the nomogram. The C-index, time-dependent receiver operating characteristic (ROC) curves, and corresponding areas under the ROC curves (AUCs) were used to estimate the predictive performance of the nomogram. RESULTS: Age at diagnosis, race, marital status, tumor node metastasis (TNM) stage, prostate specific antigen (PSA) status, Gleason score, and pathological stage were identified as significantly associated with the survival of PC patients (P<0.05). The C-index of the nomogram indicated a moderate predictive ability [training set: C-index =0.782, 95% confidence interval (CI): 0.779–0.785; testing set: C-index =0.782, 95% CI: 0.777–0.787]. The AUCs of this nomogram for the 3-, 5-, and 10-year survival were 0.757 (95% CI: 0.756–0.758), 0.741 (95% CI: 0.740–0.742), and 0.716 (95% CI: 0.715–0.717), respectively. The results of subgroup validation showed that all the AUCs for the nomogram at 3, 5, and 10 years were more than 0.70, regardless of marital status and race. CONCLUSIONS: We developed a nomogram with the moderate predictive ability for the long-term survival (3-, 5-, and 10-year survival) of patients with PC.
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spelling pubmed-95471532022-10-09 Development and validation of a nomogram for predicting the overall survival of prostate cancer patients: a large population-based cohort study Zhou, Zheng Pu, Jinxian Wei, Xuedong Huang, Yuhua Lin, Yuxin Wang, Liangliang Transl Androl Urol Original Article BACKGROUND: Prostate cancer (PC) is the second most common malignant tumor, and its survival is of great concern. However, the assessment of survival risk in current studies is limited. This study is to develop and validate a nomogram for the prediction of survival in PC patients using data from the Surveillance, Epidemiology, and End Results (SEER) database. METHODS: A total of 153,796 PC patients were included in this cohort study. Patients were divided into a training set (n=107,657) and a testing set (n=46,139). The 3-, 5- and 10-year survival of the PC patients were regarded as the outcomes. Predictors based on the demographic and pathological data for survival were identified by multivariate Cox regression analysis to develop the predictive nomogram. Internal and subgroup validations were performed to assess the predictive performance of the nomogram. The C-index, time-dependent receiver operating characteristic (ROC) curves, and corresponding areas under the ROC curves (AUCs) were used to estimate the predictive performance of the nomogram. RESULTS: Age at diagnosis, race, marital status, tumor node metastasis (TNM) stage, prostate specific antigen (PSA) status, Gleason score, and pathological stage were identified as significantly associated with the survival of PC patients (P<0.05). The C-index of the nomogram indicated a moderate predictive ability [training set: C-index =0.782, 95% confidence interval (CI): 0.779–0.785; testing set: C-index =0.782, 95% CI: 0.777–0.787]. The AUCs of this nomogram for the 3-, 5-, and 10-year survival were 0.757 (95% CI: 0.756–0.758), 0.741 (95% CI: 0.740–0.742), and 0.716 (95% CI: 0.715–0.717), respectively. The results of subgroup validation showed that all the AUCs for the nomogram at 3, 5, and 10 years were more than 0.70, regardless of marital status and race. CONCLUSIONS: We developed a nomogram with the moderate predictive ability for the long-term survival (3-, 5-, and 10-year survival) of patients with PC. AME Publishing Company 2022-09 /pmc/articles/PMC9547153/ /pubmed/36217401 http://dx.doi.org/10.21037/tau-22-498 Text en 2022 Translational Andrology and Urology. All rights reserved. https://creativecommons.org/licenses/by-nc-nd/4.0/Open Access Statement: This is an Open Access article distributed in accordance with the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License (CC BY-NC-ND 4.0), which permits the non-commercial replication and distribution of the article with the strict proviso that no changes or edits are made and the original work is properly cited (including links to both the formal publication through the relevant DOI and the license). See: https://creativecommons.org/licenses/by-nc-nd/4.0 (https://creativecommons.org/licenses/by-nc-nd/4.0/) .
spellingShingle Original Article
Zhou, Zheng
Pu, Jinxian
Wei, Xuedong
Huang, Yuhua
Lin, Yuxin
Wang, Liangliang
Development and validation of a nomogram for predicting the overall survival of prostate cancer patients: a large population-based cohort study
title Development and validation of a nomogram for predicting the overall survival of prostate cancer patients: a large population-based cohort study
title_full Development and validation of a nomogram for predicting the overall survival of prostate cancer patients: a large population-based cohort study
title_fullStr Development and validation of a nomogram for predicting the overall survival of prostate cancer patients: a large population-based cohort study
title_full_unstemmed Development and validation of a nomogram for predicting the overall survival of prostate cancer patients: a large population-based cohort study
title_short Development and validation of a nomogram for predicting the overall survival of prostate cancer patients: a large population-based cohort study
title_sort development and validation of a nomogram for predicting the overall survival of prostate cancer patients: a large population-based cohort study
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9547153/
https://www.ncbi.nlm.nih.gov/pubmed/36217401
http://dx.doi.org/10.21037/tau-22-498
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