Effect of marital status on treatment and survival of extremity soft tissue sarcoma.

Abstract

Spousal support has been hypothesized as providing important psychosocial support for patients and as such has been noted to provide a survival advantage in a number of chronic diseases and cancers. However, the specific effect of marital status on survival in soft tissue sarcomas (STSs) of the extremity has not been explored in detail. A total of 7384 patients were evaluated for this study using a Surveillance, Epidemiology, and End Results (SEER) registry query for patients over 20 years old with extremity STS diagnosed between 2004 and 2009. Survival outcomes were analyzed using Gray's test after patients were stratified by marital status. The Fine and Gray model, a multivariable regression model, was used to assess whether marital status was an independent predictor of sarcoma specific death. Statistical significance was maintained at P < 0.05. Analysis of the SEER database showed that single patients were more likely to die of their STS and at a faster rate than married patients. No differences were noted in tumor size and tumor site on presentation between married and single patients. However, single patients presented with higher grade tumors more frequently (P = 0.013), received less radiotherapy (P < 0.001), and had less surgery carried out (P < 0.001), compared with their married peers. Regression analysis showed that after accounting for tumor size, grade, site, histology, use of radiotherapy, age, gender, region where the patients were from, and income, being single continued to serve as an independent predictor of sarcoma-specific death; P < 0.0001. Overall survival is worse for single patients, when compared with married patients, with STS. Single patients do not undergo surgical resection or receive radiation therapy as frequently as their married counterparts. Social support systems and barriers to care should be evaluated at time of diagnosis and addressed in single patients to potentially improve survival outcomes.