Prognostic Factors for Survival in Patients with Malignant Giant Cell Tumor of Bone: A Risk Nomogram Analysis Based on the Population

Xiaolong Zhu; Runzhi Huang; Peng Hu; Penghui Yan; Suna Zhai; Jie Zhang; Junwei Zhuang; Huabin Yin; Tong Meng; Daoke Yang; Zongqiang Huang

doi:10.12659/MSM.929154

17 February 2021 : Database Analysis

Prognostic Factors for Survival in Patients with Malignant Giant Cell Tumor of Bone: A Risk Nomogram Analysis Based on the Population

Xiaolong Zhu^1BCDEF, Runzhi Huang^12ABCDEF, Peng Hu^1E, Penghui Yan^1ABCDEF, Suna Zhai^3D, Jie Zhang^2AE, Junwei Zhuang^1F, Huabin Yin^4E, Tong Meng^4AF*, Daoke Yang^3F, Zongqiang Huang^1AG

DOI: 10.12659/MSM.929154

Med Sci Monit 2021; 27:e929154

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Figure 3 The results of the Lasso regression (A–D) and the receiver operating characteristic (ROC) curves (E, F). Lasso regression results suggested including 6 variables when overall survival (OS) was the endpoint (A, B), and 10 variables when cause-specific survival (CSS) (C, D) was the endpoint.

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Prognostic Factors for Survival in Patients with Malignant Giant Cell Tumor of Bone: A Risk Nomogram Analysis Based on the Population

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