A Nomogram and a Risk Classification System Predicting the Cancer-Specific Survival of Patients With Initially-Diagnosed Osseous Spinal and Pelvic Tumors

• Published in: Spine (Philadelphia, Pa. 1976) Vol. 45; no. 12; p. E713
• Main Authors: Zhou, Qiang, Li, A-Bing, Lin, Zhong-Qin, Zhang, Hong-Zhen
• Format: Journal Article
• Language: English
• Published: United States 15.06.2020
• Subjects: Adult; Bone Neoplasms - diagnosis; Bone Neoplasms - mortality; Cohort Studies; Decision Support Techniques; Female; Humans; Male; Middle Aged; Neoplasm Staging - methods; Nomograms; Pelvic Neoplasms - diagnosis; Pelvic Neoplasms - mortality; Prognosis; Proportional Hazards Models; Retrospective Studies; Risk Factors; SEER Program

Retrospective analysis. Our goal was to provide a predictive model and a risk classification system that predicts cancer-specific survival (CSS) from spinal and pelvic tumors. Primary bone tumors of the spinal and pelvic are rare, thus limiting the understanding of the manifestations and survival fr...