Socioeconomic measures influence survival in osteosarcoma: an analysis of the National Cancer Data Base

Publication date: August 2017
Source:Cancer Epidemiology, Volume 49
Author(s): Benjamin J. Miller, Yubo Gao, Kyle R. Duchman
BackgroundWhile previous studies have identified low socioeconomic status as a risk factor for metastatic disease in patients with high-grade osteosarcoma, the influence of socioeconomic status on overall survival remains unclear. The present study aims to investigate the relationship between survival and socioeconomic status in patients with high-grade conventional osteosarcoma.MethodsThe National Cancer Data Base (NCDB) was queried from 1998-2012 to identify all patients <40years of age with a diagnosis of high-grade conventional osteosarcoma. A total of 3,503 patients were identified that met inclusion and exclusion criteria. Univariate relationships were investigated using Kaplan-Meier survival analysis and associated log-rank tests in order to determine patient, socioeconomic, tumor, and treatment variables associated with overall survival. Multivariate analysis was performed to determine independent predictors of survival.ResultsIn order of decreasing magnitude, metastatic disease (Hazard Ratio [HR] 3.28, 95% Confidence Interval [CI] 2.82-3.82), primary site in the pelvis or spine (HR 2.15, 95% CI 1.79-2.59), positive surgical margins (HR 1.82, 95% CI 1.46-2.27), tumor size >8cm (HR 1.47, 95% CI 1.24-1.74), age ≥18 years (HR 1.30, 95% CI 1.14-1.48), lowest quartile of composite socioeconomic status (HR 1.23, 95% CI 1.02-1.51), and Medicaid insurance (HR 1.18, 95% CI 1.02-1.38) were predictors of decreased survival at 5 years.ConclusionTreating providers should be aware that some of their patients may have challenges unrelated to their diagnosis that make timely presentation, adherence to treatment, and continued close surveillance difficult. This investigation suggests that socioeconomic variables influence overall survival for osteosarcoma in the United States, although not as dramatically as established tumor- and treatment-related risk factors.



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