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A nomogram for predicting survival in patients with nodular melanoma: A population-based study
The use of traditional American Joint Committee on Cancer (AJCC) staging alone has limitations in predicting patient survival with nodular melanoma (NM). We aimed to establish a comprehensive prognostic nomogram and compare its prognostic value with the AJCC staging system. A nomogram was constructe...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Wolters Kluwer Health
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6587643/ https://www.ncbi.nlm.nih.gov/pubmed/31192966 http://dx.doi.org/10.1097/MD.0000000000016059 |
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author | Yang, Jin Pan, Zhenyu Zhao, Fanfan Feng, Xiaojie Liu, Qingqing Li, Yuanjie Lyu, Jun |
author_facet | Yang, Jin Pan, Zhenyu Zhao, Fanfan Feng, Xiaojie Liu, Qingqing Li, Yuanjie Lyu, Jun |
author_sort | Yang, Jin |
collection | PubMed |
description | The use of traditional American Joint Committee on Cancer (AJCC) staging alone has limitations in predicting patient survival with nodular melanoma (NM). We aimed to establish a comprehensive prognostic nomogram and compare its prognostic value with the AJCC staging system. A nomogram was constructed to predict the 3-year and 5-year survival rates of NM patients by Cox regression. Several common model-validation parameters were used to evaluate the performance of our survival model. The multivariate analyses demonstrated that the age at diagnosis; being divorced, separated, or widowed; AJCC stages II, III, and IV; a regional SEER stage and the lymph-node density (LND) were risk factors for survival. The concordance index, the area under the time-dependent receiver operating characteristic curve, and calibration plots indicated that the nomogram performed well, while the net reclassification improvement and the integrated discrimination improvement showed that the nomogram performed better than the AJCC staging system. Finally, the decision curve analyses curves of the nomogram yielded net benefits that were higher than when using AJCC staging system with either the training or the validation cohort. The prognostic value of the nomogram is better than that of the AJCC staging system alone. In addition, we found that LND is an important risk factor for the survival of NM patients. The nomogram developed in this study may be a valuable tool for clinical practice when advising patients about their survival risk over the next 3 to 5 years. |
format | Online Article Text |
id | pubmed-6587643 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Wolters Kluwer Health |
record_format | MEDLINE/PubMed |
spelling | pubmed-65876432019-06-24 A nomogram for predicting survival in patients with nodular melanoma: A population-based study Yang, Jin Pan, Zhenyu Zhao, Fanfan Feng, Xiaojie Liu, Qingqing Li, Yuanjie Lyu, Jun Medicine (Baltimore) Research Article The use of traditional American Joint Committee on Cancer (AJCC) staging alone has limitations in predicting patient survival with nodular melanoma (NM). We aimed to establish a comprehensive prognostic nomogram and compare its prognostic value with the AJCC staging system. A nomogram was constructed to predict the 3-year and 5-year survival rates of NM patients by Cox regression. Several common model-validation parameters were used to evaluate the performance of our survival model. The multivariate analyses demonstrated that the age at diagnosis; being divorced, separated, or widowed; AJCC stages II, III, and IV; a regional SEER stage and the lymph-node density (LND) were risk factors for survival. The concordance index, the area under the time-dependent receiver operating characteristic curve, and calibration plots indicated that the nomogram performed well, while the net reclassification improvement and the integrated discrimination improvement showed that the nomogram performed better than the AJCC staging system. Finally, the decision curve analyses curves of the nomogram yielded net benefits that were higher than when using AJCC staging system with either the training or the validation cohort. The prognostic value of the nomogram is better than that of the AJCC staging system alone. In addition, we found that LND is an important risk factor for the survival of NM patients. The nomogram developed in this study may be a valuable tool for clinical practice when advising patients about their survival risk over the next 3 to 5 years. Wolters Kluwer Health 2019-06-14 /pmc/articles/PMC6587643/ /pubmed/31192966 http://dx.doi.org/10.1097/MD.0000000000016059 Text en Copyright © 2019 the Author(s). Published by Wolters Kluwer Health, Inc. http://creativecommons.org/licenses/by-nc/4.0 This is an open access article distributed under the terms of the Creative Commons Attribution-Non Commercial License 4.0 (CCBY-NC), where it is permissible to download, share, remix, transform, and buildup the work provided it is properly cited. The work cannot be used commercially without permission from the journal. http://creativecommons.org/licenses/by-nc/4.0 |
spellingShingle | Research Article Yang, Jin Pan, Zhenyu Zhao, Fanfan Feng, Xiaojie Liu, Qingqing Li, Yuanjie Lyu, Jun A nomogram for predicting survival in patients with nodular melanoma: A population-based study |
title | A nomogram for predicting survival in patients with nodular melanoma: A population-based study |
title_full | A nomogram for predicting survival in patients with nodular melanoma: A population-based study |
title_fullStr | A nomogram for predicting survival in patients with nodular melanoma: A population-based study |
title_full_unstemmed | A nomogram for predicting survival in patients with nodular melanoma: A population-based study |
title_short | A nomogram for predicting survival in patients with nodular melanoma: A population-based study |
title_sort | nomogram for predicting survival in patients with nodular melanoma: a population-based study |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6587643/ https://www.ncbi.nlm.nih.gov/pubmed/31192966 http://dx.doi.org/10.1097/MD.0000000000016059 |
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