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A novel nomogram to predict the overall survival in esthesinoeroblastoma

BACKGROUND: Increasing evidence indicates that the pathology and the modified Kadish system have some influence on the prognosis of esthesioneuroblastoma (ENB). However, an accurate system to combine pathology with a modified Kadish system has not been established. METHODS: This study aimed to set u...

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Autores principales: Jiang, Lijie, Lin, Tengjiao, Zhang, Yu, Gao, Wenxiang, Deng, Jie, Xu, Zhaofeng, Luo, Xin, Huang, Zhaoqi, Chen, Fenghong, Shi, Jianbo, Lai, Yinyan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7556920/
https://www.ncbi.nlm.nih.gov/pubmed/33054751
http://dx.doi.org/10.1186/s12885-020-07435-7
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author Jiang, Lijie
Lin, Tengjiao
Zhang, Yu
Gao, Wenxiang
Deng, Jie
Xu, Zhaofeng
Luo, Xin
Huang, Zhaoqi
Chen, Fenghong
Shi, Jianbo
Lai, Yinyan
author_facet Jiang, Lijie
Lin, Tengjiao
Zhang, Yu
Gao, Wenxiang
Deng, Jie
Xu, Zhaofeng
Luo, Xin
Huang, Zhaoqi
Chen, Fenghong
Shi, Jianbo
Lai, Yinyan
author_sort Jiang, Lijie
collection PubMed
description BACKGROUND: Increasing evidence indicates that the pathology and the modified Kadish system have some influence on the prognosis of esthesioneuroblastoma (ENB). However, an accurate system to combine pathology with a modified Kadish system has not been established. METHODS: This study aimed to set up and evaluate a model to predict overall survival (OS) accurately in ENB, including clinical characteristics, treatment and pathological variables. We screened the information of patients with ENB between January 1, 1976, and December 30, 2016 from the National Cancer Institute Surveillance, Epidemiology, and End Results (SEER) program as a training cohort. The validation cohort consisted of patients with ENB at Sun Yat-sen University Cancer Center and The First Affiliated Hospital of Sun Yat-sen University in the same period, and 87 patients were included. The Pearson’s chi-squared test was used to assess significance of clinicopathological and demographic characteristics. We used the Cox proportional hazards model to examine univariate and multivariate analyses. The model coefficients were used to calculate the Hazard ratios (HR) with 95% confidence intervals (CI). Prognostic factors with a p-value < 0.05 in multivariate analysis were included in the nomogram. The concordance index (c-index) and calibration curve were used to evaluate the predictive power of the nomogram. RESULTS: The c-index of training cohort and validation cohort are 0.737 (95% CI, 0.709 to 0.765) and 0.791 (95% CI, 0.767 to 0.815) respectively. The calibration curves revealed a good agreement between the nomogram prediction and actual observation regarding the probability of 3-year and 5-year survival. We used a nomogram to calculate the 3-year and 5-year growth probability and stratified patients into three risk groups. CONCLUSIONS: The nomogram provided the risk group information and identified mortality risk and can serve as a reference for designing a reasonable follow-up plan.
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spelling pubmed-75569202020-10-15 A novel nomogram to predict the overall survival in esthesinoeroblastoma Jiang, Lijie Lin, Tengjiao Zhang, Yu Gao, Wenxiang Deng, Jie Xu, Zhaofeng Luo, Xin Huang, Zhaoqi Chen, Fenghong Shi, Jianbo Lai, Yinyan BMC Cancer Research Article BACKGROUND: Increasing evidence indicates that the pathology and the modified Kadish system have some influence on the prognosis of esthesioneuroblastoma (ENB). However, an accurate system to combine pathology with a modified Kadish system has not been established. METHODS: This study aimed to set up and evaluate a model to predict overall survival (OS) accurately in ENB, including clinical characteristics, treatment and pathological variables. We screened the information of patients with ENB between January 1, 1976, and December 30, 2016 from the National Cancer Institute Surveillance, Epidemiology, and End Results (SEER) program as a training cohort. The validation cohort consisted of patients with ENB at Sun Yat-sen University Cancer Center and The First Affiliated Hospital of Sun Yat-sen University in the same period, and 87 patients were included. The Pearson’s chi-squared test was used to assess significance of clinicopathological and demographic characteristics. We used the Cox proportional hazards model to examine univariate and multivariate analyses. The model coefficients were used to calculate the Hazard ratios (HR) with 95% confidence intervals (CI). Prognostic factors with a p-value < 0.05 in multivariate analysis were included in the nomogram. The concordance index (c-index) and calibration curve were used to evaluate the predictive power of the nomogram. RESULTS: The c-index of training cohort and validation cohort are 0.737 (95% CI, 0.709 to 0.765) and 0.791 (95% CI, 0.767 to 0.815) respectively. The calibration curves revealed a good agreement between the nomogram prediction and actual observation regarding the probability of 3-year and 5-year survival. We used a nomogram to calculate the 3-year and 5-year growth probability and stratified patients into three risk groups. CONCLUSIONS: The nomogram provided the risk group information and identified mortality risk and can serve as a reference for designing a reasonable follow-up plan. BioMed Central 2020-10-14 /pmc/articles/PMC7556920/ /pubmed/33054751 http://dx.doi.org/10.1186/s12885-020-07435-7 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research Article
Jiang, Lijie
Lin, Tengjiao
Zhang, Yu
Gao, Wenxiang
Deng, Jie
Xu, Zhaofeng
Luo, Xin
Huang, Zhaoqi
Chen, Fenghong
Shi, Jianbo
Lai, Yinyan
A novel nomogram to predict the overall survival in esthesinoeroblastoma
title A novel nomogram to predict the overall survival in esthesinoeroblastoma
title_full A novel nomogram to predict the overall survival in esthesinoeroblastoma
title_fullStr A novel nomogram to predict the overall survival in esthesinoeroblastoma
title_full_unstemmed A novel nomogram to predict the overall survival in esthesinoeroblastoma
title_short A novel nomogram to predict the overall survival in esthesinoeroblastoma
title_sort novel nomogram to predict the overall survival in esthesinoeroblastoma
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7556920/
https://www.ncbi.nlm.nih.gov/pubmed/33054751
http://dx.doi.org/10.1186/s12885-020-07435-7
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