Disparities in outcomes and access to therapy options in hepatocellular carcinoma

Author:

Beltrán Ponce Sara1,Gokun Yevgeniya2,Douglass Francisca3,Dawson Laura4,Miller Eric5,Thomas Charles R6,Pitter Kenneth5,Conteh Lanla7,Diaz Dayssy A5ORCID

Affiliation:

1. Department of Radiation Oncology, Medical College of Wisconsin , Milwaukee, WI, USA

2. Secondary Data Core, Center for Biostatistics, The Ohio State University Wexner School of Medicine , Columbus, OH, USA

3. The Ohio State University College of Medicine , Columbus, OH, USA

4. Department of Radiation Oncology, Princess Margaret Cancer Centre, University of Toronto , Toronto, ON, Canada

5. Department of Radiation Oncology, The Ohio State University Wexner School of Medicine, The James Cancer Center , Columbus, OH, USA

6. Department of Radiation Oncology, Dartmouth Geisel School of Medicine , Hanover, NH, USA

7. Division of Hepatology, Department of Gastroenterology, The Ohio State University Wexner School of Medicine , Columbus, OH, USA

Abstract

Abstract Background Hepatocellular carcinoma (HCC) disproportionately impacts racial and ethnic minorities and patients with lower socioeconomic status. These social determinants of health (SDH) lead to disparities in access to care and outcomes. We aim to understand the relationship between SDH and survival and locoregional treatment options in HCC. Methods Using the National Cancer Database, we evaluated survival and access locoregional treatments including non-transplant surgery, liver transplant (LT), and liver-directed radiation therapy (LDRT) in patients with HCC diagnosed between 2004 and 2017. Variables including clinical stage, age, sex, race, income, rurality, year of diagnosis, facility type (FT), Charlson-Deyo score (CD), and insurance were evaluated. Cox proportional hazards multivariable regression and dominance analyses were used for analyses. Results In total, 140 340 patients were included. Worse survival was seen with advanced stage, older age, Black race, rurality, public insurance, treatment at a nonacademic center, and lower income. The top predictors for survival included stage, age, and income. Completion of non-transplant surgery was best predicted by stage, FT, and insurance type, whereas LT was predicted by age, year of diagnosis, and CD score. LDRT utilization was most associated with year of diagnosis, FT, and CD score. Conclusion For patients with HCC, survival was predicted primarily by stage, age, and income. The primary sociodemographic factors associated with access to surgical treatments, in addition to FT, were insurance and income, highlighting the financial burdens of health care. Work is needed to address disparities in access to care, including improved insurance access, addressing financial inequities and financial toxicities of treatments, and equalizing care opportunities in community centers.

Publisher

Oxford University Press (OUP)

Subject

Cancer Research,Oncology

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