A Novel Prediction Tool for Overall Survival of Patients Living with Spinal Metastatic Disease.

He, Xin; Jiao, Yong-Qiang; Yang, Xiong-Gang; Hu, Yong-Cheng

He, Xin; Jiao, Yong-Qiang; Yang, Xiong-Gang; Hu, Yong-Cheng.

Affiliation

He X; Department of Bone Oncology, Tianjin Hospital, Tianjin, China.
Jiao YQ; Graduate School, Tianjin Medical University, Tianjin, China.
Yang XG; Department of Orthopedics, Huashan Hospital, Fudan University, Shanghai, China.
Hu YC; Department of Bone Oncology, Tianjin Hospital, Tianjin, China. Electronic address: 13820287567@163.com.

World Neurosurg ; 144: e824-e836, 2020 12.

Article in En | MEDLINE | ID: mdl-32956891

Subject(s)

Spinal Neoplasms/mortality; Spinal Neoplasms/secondary; Survival Analysis; Aged; Calibration; Female; Humans; Kaplan-Meier Estimate; Machine Learning; Male; Middle Aged; Multivariate Analysis; Nomograms; Patient Care Planning; Predictive Value of Tests; Prognosis; Reproducibility of Results; Retrospective Studies; Spinal Neoplasms/therapy

Key words

Overall survival; Prognostic factor; Shiny; Spinal metastasis

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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Spinal Neoplasms / Survival Analysis Type of study: Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Aged / Female / Humans / Male / Middle aged Language: En Journal: World Neurosurg Journal subject: NEUROCIRURGIA Year: 2020 Document type: Article Affiliation country: China Country of publication: United States

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