Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Yang, Jin, Pan, Zhenyu, Zhao, Fanfan, Feng, Xiaojie, Liu, Qingqing, Li, Yuanjie, Lyu, Jun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer Health 2019
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
_version_ 1783429109839298560
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
work_keys_str_mv AT yangjin anomogramforpredictingsurvivalinpatientswithnodularmelanomaapopulationbasedstudy
AT panzhenyu anomogramforpredictingsurvivalinpatientswithnodularmelanomaapopulationbasedstudy
AT zhaofanfan anomogramforpredictingsurvivalinpatientswithnodularmelanomaapopulationbasedstudy
AT fengxiaojie anomogramforpredictingsurvivalinpatientswithnodularmelanomaapopulationbasedstudy
AT liuqingqing anomogramforpredictingsurvivalinpatientswithnodularmelanomaapopulationbasedstudy
AT liyuanjie anomogramforpredictingsurvivalinpatientswithnodularmelanomaapopulationbasedstudy
AT lyujun anomogramforpredictingsurvivalinpatientswithnodularmelanomaapopulationbasedstudy
AT yangjin nomogramforpredictingsurvivalinpatientswithnodularmelanomaapopulationbasedstudy
AT panzhenyu nomogramforpredictingsurvivalinpatientswithnodularmelanomaapopulationbasedstudy
AT zhaofanfan nomogramforpredictingsurvivalinpatientswithnodularmelanomaapopulationbasedstudy
AT fengxiaojie nomogramforpredictingsurvivalinpatientswithnodularmelanomaapopulationbasedstudy
AT liuqingqing nomogramforpredictingsurvivalinpatientswithnodularmelanomaapopulationbasedstudy
AT liyuanjie nomogramforpredictingsurvivalinpatientswithnodularmelanomaapopulationbasedstudy
AT lyujun nomogramforpredictingsurvivalinpatientswithnodularmelanomaapopulationbasedstudy