Prognostic nomogram for predicting 5-year overall survival in Chinese patients with high-grade osteosarcoma

Abstract This study aimed to construct a widely accepted prognostic nomogram in Chinese high-grade osteosarcoma (HOS) patients aged ≤ 30 years to provide insight into predicting 5-year overall survival (OS). Data from 503 consecutive HOS patients at our centre between 12/2012 and 05/2019 were retros...

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Autores principales:	Zhihong Yao, Zunxian Tan, Jifei Yang, Yihao Yang, Cao Wang, Jiaxiang Chen, Yanan Zhu, Tiying Wang, Lei Han, Lin Zhu, Zuozhang Yang
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/d9ae645b28024432ab23b3ba8e133f18
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spelling	oai:doaj.org-article:d9ae645b28024432ab23b3ba8e133f182021-12-02T17:41:18ZPrognostic nomogram for predicting 5-year overall survival in Chinese patients with high-grade osteosarcoma10.1038/s41598-021-97090-02045-2322https://doaj.org/article/d9ae645b28024432ab23b3ba8e133f182021-09-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-97090-0https://doaj.org/toc/2045-2322Abstract This study aimed to construct a widely accepted prognostic nomogram in Chinese high-grade osteosarcoma (HOS) patients aged ≤ 30 years to provide insight into predicting 5-year overall survival (OS). Data from 503 consecutive HOS patients at our centre between 12/2012 and 05/2019 were retrospectively collected. Eighty-four clinical features and routine laboratory haematological and biochemical testing indicators of each patient at the time of diagnosis were collected. A prognostic nomogram model for predicting OS was constructed based on the Cox proportional hazards model. The performance was assessed by the concordance index (C-index), receiver operating characteristic curve and calibration curve. The utility was evaluated by decision curve analysis. The 5-year OS was 52.1% and 2.6% for the nonmetastatic and metastatic patients, respectively. The nomogram included nine important variables based on a multivariate analysis: tumour stage, surgical type, metastasis, preoperative neoadjuvant chemotherapy cycle, postoperative metastasis time, mean corpuscular volume, tumour-specific growth factor, gamma-glutamyl transferase and creatinine. The calibration curve showed that the nomogram was able to predict 5-year OS accurately. The C-index of the nomogram for OS prediction was 0.795 (range, 0.703–0.887). Moreover, the decision curve analysis curve also demonstrated the clinical benefit of this model. The nomogram provides an individualized risk estimate of the 5-year OS in patients with HOS aged ≤ 30 years in a Chinese population-based cohort.Zhihong YaoZunxian TanJifei YangYihao YangCao WangJiaxiang ChenYanan ZhuTiying WangLei HanLin ZhuZuozhang YangNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-13 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Zhihong Yao Zunxian Tan Jifei Yang Yihao Yang Cao Wang Jiaxiang Chen Yanan Zhu Tiying Wang Lei Han Lin Zhu Zuozhang Yang Prognostic nomogram for predicting 5-year overall survival in Chinese patients with high-grade osteosarcoma
description	Abstract This study aimed to construct a widely accepted prognostic nomogram in Chinese high-grade osteosarcoma (HOS) patients aged ≤ 30 years to provide insight into predicting 5-year overall survival (OS). Data from 503 consecutive HOS patients at our centre between 12/2012 and 05/2019 were retrospectively collected. Eighty-four clinical features and routine laboratory haematological and biochemical testing indicators of each patient at the time of diagnosis were collected. A prognostic nomogram model for predicting OS was constructed based on the Cox proportional hazards model. The performance was assessed by the concordance index (C-index), receiver operating characteristic curve and calibration curve. The utility was evaluated by decision curve analysis. The 5-year OS was 52.1% and 2.6% for the nonmetastatic and metastatic patients, respectively. The nomogram included nine important variables based on a multivariate analysis: tumour stage, surgical type, metastasis, preoperative neoadjuvant chemotherapy cycle, postoperative metastasis time, mean corpuscular volume, tumour-specific growth factor, gamma-glutamyl transferase and creatinine. The calibration curve showed that the nomogram was able to predict 5-year OS accurately. The C-index of the nomogram for OS prediction was 0.795 (range, 0.703–0.887). Moreover, the decision curve analysis curve also demonstrated the clinical benefit of this model. The nomogram provides an individualized risk estimate of the 5-year OS in patients with HOS aged ≤ 30 years in a Chinese population-based cohort.
format	article
author	Zhihong Yao Zunxian Tan Jifei Yang Yihao Yang Cao Wang Jiaxiang Chen Yanan Zhu Tiying Wang Lei Han Lin Zhu Zuozhang Yang
author_facet	Zhihong Yao Zunxian Tan Jifei Yang Yihao Yang Cao Wang Jiaxiang Chen Yanan Zhu Tiying Wang Lei Han Lin Zhu Zuozhang Yang
author_sort	Zhihong Yao
title	Prognostic nomogram for predicting 5-year overall survival in Chinese patients with high-grade osteosarcoma
title_short	Prognostic nomogram for predicting 5-year overall survival in Chinese patients with high-grade osteosarcoma
title_full	Prognostic nomogram for predicting 5-year overall survival in Chinese patients with high-grade osteosarcoma
title_fullStr	Prognostic nomogram for predicting 5-year overall survival in Chinese patients with high-grade osteosarcoma
title_full_unstemmed	Prognostic nomogram for predicting 5-year overall survival in Chinese patients with high-grade osteosarcoma
title_sort	prognostic nomogram for predicting 5-year overall survival in chinese patients with high-grade osteosarcoma
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/d9ae645b28024432ab23b3ba8e133f18
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Prognostic nomogram for predicting 5-year overall survival in Chinese patients with high-grade osteosarcoma

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