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

Author:

Yao Zhihong,Tan Zunxian,Yang Jifei,Yang Yihao,Wang Cao,Chen Jiaxiang,Zhu Yanan,Wang Tiying,Han Lei,Zhu Lin,Yang Zuozhang

Abstract

AbstractThis 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.

Funder

the National Science Foundation of China

the Joint Special Funds for the Department of Science and Technology of Yunnan Province-Kunming Medical University

the Scientific Research Projects of Internal Research Institutions of Medicine

Training program for 100 Young and middle-aged Academic and technical backbones of Kunming Medical University

the Medical Reserve Talents of Yunnan Province

the Major Scientific and Technological Achievement Cultivation Project of Kunming Medical University

Publisher

Springer Science and Business Media LLC

Subject

Multidisciplinary

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