Cheung Min Rex, Kang Josephine, Ouyang Daniel, Yeung Vincent
FROS Radiation Oncology Cyberknife Center of New York, NY, USA E-mail :
Asian Pac J Cancer Prev. 2014;15(1):25-8. doi: 10.7314/apjcp.2014.15.1.25.
This study analyzed whether socio-economic factors affect the cause specific survival of soft tissue sarcoma (STS).
Surveillance, Epidemiology and End Results (SEER) soft tissue sarcoma (STS) data were used to identify potential socio-economic disparities in outcome. Time to cause specific death was computed with Kaplan-Meier analysis. Kolmogorov-Smirnov tests and Cox proportional hazard analysis were used for univariate and multivariate tests, respectively. The areas under the receiver operating curve were computed for predictors for comparison.
There were 42,016 patients diagnosed STS from 1973 to 2009. The mean follow up time (S.D.) was 66.6 (81.3) months. Stage, site, grade were significant predictors by univariate tests. Race and rural-urban residence were also important predictors of outcome. These five factors were all statistically significant with Cox analysis. Rural and African-American patients had a 3-4% disadvantage in cause specific survival.
Socio-economic factors influence cause specific survival of soft tissue sarcoma. Ensuring access to cancer care may eliminate the outcome disparities.
本研究分析了社会经济因素是否会影响软组织肉瘤（STS）特定病因的生存率。
利用监测、流行病学与最终结果（SEER）软组织肉瘤（STS）数据来确定结局方面潜在的社会经济差异。采用Kaplan-Meier分析计算特定病因死亡时间。分别使用Kolmogorov-Smirnov检验和Cox比例风险分析进行单变量和多变量检验。计算受试者工作特征曲线下面积以比较预测因子。
1973年至2009年期间，共有42016例患者被诊断为STS。平均随访时间（标准差）为66.6（81.3）个月。单变量检验显示，分期、部位、分级是显著的预测因子。种族和城乡居住地也是结局的重要预测因子。通过Cox分析，这五个因素均具有统计学意义。农村患者和非裔美国患者在特定病因生存率方面有3%-4%的劣势。
社会经济因素会影响软组织肉瘤特定病因的生存率。确保获得癌症治疗可能会消除结局差异。
