Unknown

Dataset Information

0

Disparities in survival by insurance status in follicular lymphoma.


ABSTRACT: Follicular lymphoma (FL) is the second most common non-Hodgkin lymphoma and most common indolent non-Hodgkin lymphoma. Lower socioeconomic status is associated with poor outcomes in FL, suggesting that access to care is an important prognostic factor; however, the association between insurance status and FL survival has not been sufficiently examined. The National Cancer Database, a nationwide cancer registry, was used to evaluate 43 648 patients with FL diagnosed between 2004 and 2014. All analyses were performed on 2 cohorts segmented at age 65 years to account for changes in insurance status with Medicare eligibility. Cox proportional hazard models calculated hazard ratios (HRs) with confidence intervals (CIs) for the association between insurance status and overall survival (OS) controlling for the available sociodemographic and prognostic factors. Kaplan-Meier curves display outcomes by insurance status for patients covered by private insurance, no insurance, Medicaid, or Medicare. When compared with patients younger than age 65 years with private insurance, patients younger than age 65 years with no insurance (HR, 1.96; 95% CI, 1.69-2.28), with Medicaid (HR, 1.82; 95% CI, 1.57-2.12), and with Medicare (HR, 1.96; 95% CI, 1.71-2.24) had significantly worse OS after adjusting for sociodemographic and prognostic factors. Compared with patients age 65 years or older with private insurance, those with Medicare only (HR, 1.28; 95% CI, 1.17-1.4) had significantly worse OS. For adults with FL, expanding access to care through insurance has the potential to improve outcomes.

SUBMITTER: Goldstein JS 

PROVIDER: S-EPMC6137560 | BioStudies | 2018-01-01

REPOSITORIES: biostudies

Similar Datasets

2016-01-01 | S-EPMC5115635 | BioStudies
2019-01-01 | S-EPMC6797574 | BioStudies
2016-01-01 | S-EPMC5089078 | BioStudies
1000-01-01 | S-EPMC2754556 | BioStudies
2017-01-01 | S-EPMC5726977 | BioStudies
| S-EPMC6380174 | BioStudies
2017-01-01 | S-EPMC5710281 | BioStudies
2017-01-01 | S-EPMC5507267 | BioStudies
2011-01-01 | S-EPMC3217596 | BioStudies
2017-01-01 | S-EPMC5474167 | BioStudies