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Updated: Feb 28, 2026

Three-Dimensional Bone Extracellular Matrix Model for Osteosarcoma
Published on: April 12, 2019
Socioeconomic measures influence survival in osteosarcoma: an analysis of the National Cancer Data Base
Benjamin J Miller1, Yubo Gao1, Kyle R Duchman1
1Department of Orthopaedics and Rehabilitation, University of Iowa Hospitals and Clinics, 200 Hawkins Drive, 01008 JPP, Iowa City, IA 52242, USA.
Background:
While 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.
Methods:
The 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.
Results:
In 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.
Conclusion:
Treating 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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