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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...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
AME Publishing Company
2022
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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. |
format | Online Article Text |
id | pubmed-9547153 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | AME Publishing Company |
record_format | MEDLINE/PubMed |
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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