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Development and validation of a nomogram to predict the overall survival of patients with neuroblastoma

Neuroblastoma is the most prevalent malignancy in infants characterized by heterogeneous prognosis. It is critical to stratify the risks for patients with neuroblastoma. To stratify the risks for neuroblastoma, clinical characteristics of neuroblastoma patients were retrieved from the Therapeuticall...

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Autores principales: Liu, Qinglin, Feng, Lei, Xue, Hao, Su, Wandong, Li, Gang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer Health 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7478547/
https://www.ncbi.nlm.nih.gov/pubmed/32150058
http://dx.doi.org/10.1097/MD.0000000000019199
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author Liu, Qinglin
Feng, Lei
Xue, Hao
Su, Wandong
Li, Gang
author_facet Liu, Qinglin
Feng, Lei
Xue, Hao
Su, Wandong
Li, Gang
author_sort Liu, Qinglin
collection PubMed
description Neuroblastoma is the most prevalent malignancy in infants characterized by heterogeneous prognosis. It is critical to stratify the risks for patients with neuroblastoma. To stratify the risks for neuroblastoma, clinical characteristics of neuroblastoma patients were retrieved from the Therapeutically Applicable Research to Generate Effective Treatment program. All patients were randomly sampled into the development and validation sets. Cox regression was used to construct a prediction nomogram. The discrimination and calibration capacity of the nomogram was assessed. Prognostic index (PI) was calculated and tested to evaluate the performance of the nomogram. This nomogram demonstrated reasonable discrimination and calibration capacity. The nomogram derived PI exhibited acceptable accuracy in predicting the prognosis for neuroblastoma patients. The overall survival rate was significantly different between the PI discriminated high and low-risk patient subgroups. In conclusion, besides traditional staging systems, some newly defined risk factors could be involved in risk stratification for patients with neuroblastoma. Our nomogram may aid the risk stratification for neuroblastoma patients.
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spelling pubmed-74785472020-09-16 Development and validation of a nomogram to predict the overall survival of patients with neuroblastoma Liu, Qinglin Feng, Lei Xue, Hao Su, Wandong Li, Gang Medicine (Baltimore) 6200 Neuroblastoma is the most prevalent malignancy in infants characterized by heterogeneous prognosis. It is critical to stratify the risks for patients with neuroblastoma. To stratify the risks for neuroblastoma, clinical characteristics of neuroblastoma patients were retrieved from the Therapeutically Applicable Research to Generate Effective Treatment program. All patients were randomly sampled into the development and validation sets. Cox regression was used to construct a prediction nomogram. The discrimination and calibration capacity of the nomogram was assessed. Prognostic index (PI) was calculated and tested to evaluate the performance of the nomogram. This nomogram demonstrated reasonable discrimination and calibration capacity. The nomogram derived PI exhibited acceptable accuracy in predicting the prognosis for neuroblastoma patients. The overall survival rate was significantly different between the PI discriminated high and low-risk patient subgroups. In conclusion, besides traditional staging systems, some newly defined risk factors could be involved in risk stratification for patients with neuroblastoma. Our nomogram may aid the risk stratification for neuroblastoma patients. Wolters Kluwer Health 2020-03-06 /pmc/articles/PMC7478547/ /pubmed/32150058 http://dx.doi.org/10.1097/MD.0000000000019199 Text en Copyright © 2020 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 6200
Liu, Qinglin
Feng, Lei
Xue, Hao
Su, Wandong
Li, Gang
Development and validation of a nomogram to predict the overall survival of patients with neuroblastoma
title Development and validation of a nomogram to predict the overall survival of patients with neuroblastoma
title_full Development and validation of a nomogram to predict the overall survival of patients with neuroblastoma
title_fullStr Development and validation of a nomogram to predict the overall survival of patients with neuroblastoma
title_full_unstemmed Development and validation of a nomogram to predict the overall survival of patients with neuroblastoma
title_short Development and validation of a nomogram to predict the overall survival of patients with neuroblastoma
title_sort development and validation of a nomogram to predict the overall survival of patients with neuroblastoma
topic 6200
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7478547/
https://www.ncbi.nlm.nih.gov/pubmed/32150058
http://dx.doi.org/10.1097/MD.0000000000019199
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