Predictive factors of survival in a surgical series of metastatic epidural spinal cord compression and complete external validation of 8 multivariate models of survival in a prospective North American multicenter study
Autor: | Anick Nater, Lindsay A. Tetreault, Branko Kopjar, Paul M. Arnold, Mark B. Dekutoski, Joel A. Finkelstein, Charles G. Fisher, John C. France, Ziya L. Gokaslan, Laurence D. Rhines, Peter S. Rose, Arjun Sahgal, James M. Schuster, Alexander R. Vaccaro, Michael G. Fehlings |
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Rok vydání: | 2018 |
Předmět: |
Oncology
Cancer Research medicine.medical_specialty Univariate analysis Proportional hazards model business.industry Hazard ratio Stepwise regression medicine.disease Primary tumor 03 medical and health sciences 0302 clinical medicine Spinal cord compression Internal medicine medicine 030212 general & internal medicine Prospective cohort study business 030217 neurology & neurosurgery Cohort study |
Zdroj: | Cancer. 124:3536-3550 |
ISSN: | 0008-543X |
Popis: | BACKGROUND This study was designed to identify preoperative predictors of survival in surgically treated patients with metastatic epidural spinal cord compression (MESCC), to examine how these predictors are related to 8 prognostic models, and to perform the first full external validation of these models in accordance with the Transparent Reporting of a Multivariable Prediction Model for Individual Prognosis or Diagnosis (TRIPOD) statement. METHODS One hundred forty-two surgically treated patients with MESCC were enrolled in a prospective, multicenter North American cohort study and were followed for 12 months or until death. Cox regression was used. Noncollinear predictors with |
Databáze: | OpenAIRE |
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