A Competing Risk-based Prognostic Model to Predict Cancer-specific Death of Patients with Spinal and Pelvic Chondrosarcoma
| Autor: | Qian Guo, Feng Li, Zhong Fang, Renpeng Peng, Yimin Dong, Jai Wang, Hanfeng Guan, Kehan Song, Honglei Kang, Linka Xie |
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| Rok vydání: | 2021 |
| Předmět: |
Oncology
medicine.medical_specialty business.industry Incidence (epidemiology) Hazard ratio Chondrosarcoma Cancer Context (language use) Nomogram medicine.disease Prognosis Confidence interval Nomograms Internal medicine medicine Humans Orthopedics and Sports Medicine Neurology (clinical) business Survival analysis Aged Retrospective Studies SEER Program |
| Zdroj: | Spine. 46(22) |
| ISSN: | 1528-1159 |
| Popis: | STUDY DESIGN Retrospective analysis. OBJECTIVE The aim of this study was to develop and validate a competing-risk-based prognostic model and a nomogram for predicting the three- and five-year probability of cancer-specific death (CSD) in patients with spinal and pelvic chondrosarcoma. SUMMARY OF BACKGROUND DATA The issue of competing risk has rarely been addressed and discussed in survival analysis of bone sarcoma. In addition, the Fine and Gray model, a more accurate method for survival analysis in the context of competing risk, has also been less reported in prognostic study of chondrosarcoma. METHODS A total of 623 patients with spinal or pelvic chondrosarcoma were identified from the SEER database and were divided into a training and a validation cohort. These two cohorts were used to develop and validate a prognostic model to predict the 3- and 5-year probability of CSD, considering non-CSD as competing risk. The C-index, calibration plot, and decision curve analysis were used to assess the predictive performance and clinical utility of the model. RESULTS Older age (subdistribution hazards ratio [SHR]: 1.02, 95% confidence interval [CI]: 1.01∼1.03; P = 0.013), high grade (SHR: 2.68, 95% CI: 1.80∼3.99; P |
| Databáze: | OpenAIRE |
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