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Establishment and Validation of a Nomogram Prognostic Model for Epithelioid Hemangioendothelioma

BACKGROUND: Epithelioid hemangioendothelioma (EHE) is an ultrarare vascular sarcoma. At present, the epidemiological and clinical characteristics and prognostic factors are still unclear. Our study attempted to describe clinical features, investigate the prognostic indicators, and establish the nomo...

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Autores principales: Li, Yujun, Zhang, Zibo, Zhang, Chunxia, Li, Jia, Zhang, Bin, Dong, Yan, Cui, Xiaonan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9560816/
https://www.ncbi.nlm.nih.gov/pubmed/36245980
http://dx.doi.org/10.1155/2022/6254563
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author Li, Yujun
Zhang, Zibo
Zhang, Chunxia
Li, Jia
Zhang, Bin
Dong, Yan
Cui, Xiaonan
author_facet Li, Yujun
Zhang, Zibo
Zhang, Chunxia
Li, Jia
Zhang, Bin
Dong, Yan
Cui, Xiaonan
author_sort Li, Yujun
collection PubMed
description BACKGROUND: Epithelioid hemangioendothelioma (EHE) is an ultrarare vascular sarcoma. At present, the epidemiological and clinical characteristics and prognostic factors are still unclear. Our study attempted to describe clinical features, investigate the prognostic indicators, and establish the nomogram prediction model based on the Surveillance, Epidemiology, and End Results (SEER) database for EHE patients. METHODS: The patients diagnosed with EHE from 1986 to 2018 were collected from the SEER database and were randomly divided into a training group and a validation group at a ratio of 7 : 3. The Cox proportional hazard models were used to determine the independent factors affecting prognosis and establish a nomogram prognostic model to predict the survival rates for patients with EHE. The accuracy and discriminative ability of the model were measured using the concordance index, receiver operating characteristic curves, and calibration curves. The clinical applicability and application value of the model were evaluated by decision curve analysis. RESULTS: The overall age-adjusted incidence of EHE was 0.31 patients per 1,000,000 individuals, with a statistically significant difference per year. Overall survival at 1, 5, and 10 years for all patients was 76.5%, 57.4%, and 48.2%, respectively. Multivariate Cox regression analysis identified age, tumour stage, degree of tissue differentiation, surgical treatment, chemotherapy, and radiotherapy as independent factors affecting prognosis (P < 0.05). The C-index values for our nomogram model of training group and validation group were 0.752 and 0.753, respectively. The calibration curve was in good agreement with the actual observation results, suggesting that the prediction model has good accuracy. The decision curve analysis indicated a relatively large net benefit. CONCLUSIONS: The nomogram model may play an important role in predicting the survival rate for EHE patients, with good concordance and accuracy, and can be applied in clinical practice.
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spelling pubmed-95608162022-10-14 Establishment and Validation of a Nomogram Prognostic Model for Epithelioid Hemangioendothelioma Li, Yujun Zhang, Zibo Zhang, Chunxia Li, Jia Zhang, Bin Dong, Yan Cui, Xiaonan J Oncol Research Article BACKGROUND: Epithelioid hemangioendothelioma (EHE) is an ultrarare vascular sarcoma. At present, the epidemiological and clinical characteristics and prognostic factors are still unclear. Our study attempted to describe clinical features, investigate the prognostic indicators, and establish the nomogram prediction model based on the Surveillance, Epidemiology, and End Results (SEER) database for EHE patients. METHODS: The patients diagnosed with EHE from 1986 to 2018 were collected from the SEER database and were randomly divided into a training group and a validation group at a ratio of 7 : 3. The Cox proportional hazard models were used to determine the independent factors affecting prognosis and establish a nomogram prognostic model to predict the survival rates for patients with EHE. The accuracy and discriminative ability of the model were measured using the concordance index, receiver operating characteristic curves, and calibration curves. The clinical applicability and application value of the model were evaluated by decision curve analysis. RESULTS: The overall age-adjusted incidence of EHE was 0.31 patients per 1,000,000 individuals, with a statistically significant difference per year. Overall survival at 1, 5, and 10 years for all patients was 76.5%, 57.4%, and 48.2%, respectively. Multivariate Cox regression analysis identified age, tumour stage, degree of tissue differentiation, surgical treatment, chemotherapy, and radiotherapy as independent factors affecting prognosis (P < 0.05). The C-index values for our nomogram model of training group and validation group were 0.752 and 0.753, respectively. The calibration curve was in good agreement with the actual observation results, suggesting that the prediction model has good accuracy. The decision curve analysis indicated a relatively large net benefit. CONCLUSIONS: The nomogram model may play an important role in predicting the survival rate for EHE patients, with good concordance and accuracy, and can be applied in clinical practice. Hindawi 2022-10-06 /pmc/articles/PMC9560816/ /pubmed/36245980 http://dx.doi.org/10.1155/2022/6254563 Text en Copyright © 2022 Yujun Li et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Li, Yujun
Zhang, Zibo
Zhang, Chunxia
Li, Jia
Zhang, Bin
Dong, Yan
Cui, Xiaonan
Establishment and Validation of a Nomogram Prognostic Model for Epithelioid Hemangioendothelioma
title Establishment and Validation of a Nomogram Prognostic Model for Epithelioid Hemangioendothelioma
title_full Establishment and Validation of a Nomogram Prognostic Model for Epithelioid Hemangioendothelioma
title_fullStr Establishment and Validation of a Nomogram Prognostic Model for Epithelioid Hemangioendothelioma
title_full_unstemmed Establishment and Validation of a Nomogram Prognostic Model for Epithelioid Hemangioendothelioma
title_short Establishment and Validation of a Nomogram Prognostic Model for Epithelioid Hemangioendothelioma
title_sort establishment and validation of a nomogram prognostic model for epithelioid hemangioendothelioma
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9560816/
https://www.ncbi.nlm.nih.gov/pubmed/36245980
http://dx.doi.org/10.1155/2022/6254563
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