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Rich NE, Jones PD, Zhu H, Prasad T, Hughes A, Pruitt S, Murphy CC, Seif-El-Dahan K, Daher D, Figueroa G, Castaneda S, Quirk L, Gonzales M, Carranza O, Bourque S, Baset N, Yopp AC, Singal AG. Impact of racial, ethnic, and socioeconomic disparities on presentation and survival of HCC: A multicenter study. Hepatol Commun 2024; 8:e0477. [PMID: 39666898 PMCID: PMC11469814 DOI: 10.1097/hc9.0000000000000477] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/29/2023] [Accepted: 03/03/2024] [Indexed: 12/14/2024] Open
Abstract
BACKGROUND Racial and ethnic disparities have been reported for HCC prognosis, although few studies fully account for clinically important factors and social determinants of health, including neighborhood socioeconomic status. METHODS We conducted a retrospective multicenter cohort study of patients newly diagnosed with HCC from January 2010 through August 2018 at 4 large health systems in the United States. We used multivariable logistic regression and cause-specific Cox proportional hazard models to identify factors associated with early-stage HCC presentation and overall survival. RESULTS Of 2263 patients with HCC (37.6% non-Hispanic White, 23.5% non-Hispanic Black, 32.6% Hispanic, and 6.4% Asian/other), 42.0% of patients presented at an early stage (Barcelona Clinic Liver Cancer stage 0/A). In fully adjusted models, there were persistent Black-White disparities in early-stage presentation (OR: 0.63, 95% CI: 0.45-0.89) but not Hispanic-White disparities (OR: 0.93, 95% CI: 0.70-1.24). Median survival was 16.2 (IQR: 5.8-36.8) months for White patients compared to 15.7 (IQR: 4.6-34.4) months for Hispanic, 10.0 (IQR: 2.9-29.0) months for Black, and 9.5 (IQR: 3.4-31.9) months for Asian/other patients. Black-White disparities in survival persisted after adjusting for individual demographics and clinical factors (HR: 1.30, 95% CI: 1.09-1.53) but were no longer observed after adding HCC stage and treatment (HR: 1.05, 95% CI: 0.88-1.24), or in fully adjusted models (HR: 0.97, 95% CI: 0.79-1.18). In fully adjusted models, Hispanic-White (HR: 0.87, 95% CI: 0.73-1.03) and Asian/other-White (HR: 0.85, 95% CI: 0.63-1.15) differences in survival were not statistically significant, although patients in high-SES neighborhoods had lower mortality (HR: 0.69, 95% CI: 0.48-0.99). CONCLUSIONS In a multicenter cohort of patients with HCC, racial and ethnic differences in HCC prognosis were explained in part by differences in tumor stage at diagnosis and neighborhood SES. These data inform targets to intervene and reduce disparities.
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Affiliation(s)
- Nicole E. Rich
- Department of Internal Medicine, UT Southwestern Medical Center, Dallas, Texas, USA
- Harold C. Simmons Comprehensive Cancer Center, UT Southwestern Medical Center, Dallas, Texas, USA
- Department of Internal Medicine, Parkland Health, Dallas, Texas, USA
| | - Patricia D. Jones
- Department of Internal Medicine, Division of Digestive Health and Liver Diseases, University of Miami Miller School of Medicine, Miami, Florida, USA
- Sylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, Miami, Florida, USA
| | - Hong Zhu
- Department of Public Health Sciences, Division of Biostatistics, University of Virginia School of Medicine, Charlottesville, Virginia, USA
| | - Tanushree Prasad
- Peter O’Donnell Jr. School of Public Health, UT Southwestern Medical Center, Dallas, Texas, USA
| | - Amy Hughes
- Harold C. Simmons Comprehensive Cancer Center, UT Southwestern Medical Center, Dallas, Texas, USA
- Peter O’Donnell Jr. School of Public Health, UT Southwestern Medical Center, Dallas, Texas, USA
| | - Sandi Pruitt
- Harold C. Simmons Comprehensive Cancer Center, UT Southwestern Medical Center, Dallas, Texas, USA
- Peter O’Donnell Jr. School of Public Health, UT Southwestern Medical Center, Dallas, Texas, USA
| | - Caitlin C. Murphy
- Department of Health Promotion and Behavioral Sciences, University of Texas Health Science Center at Houston School of Public Health, Houston, Texas, USA
| | - Karim Seif-El-Dahan
- Department of Internal Medicine, UT Southwestern Medical Center, Dallas, Texas, USA
| | - Darine Daher
- Department of Internal Medicine, UT Southwestern Medical Center, Dallas, Texas, USA
| | - Gloria Figueroa
- Department of Internal Medicine, Division of Digestive Health and Liver Diseases, University of Miami Miller School of Medicine, Miami, Florida, USA
- Sylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, Miami, Florida, USA
| | - Stephanie Castaneda
- Department of Internal Medicine, Division of Digestive Health and Liver Diseases, University of Miami Miller School of Medicine, Miami, Florida, USA
- Sylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, Miami, Florida, USA
| | - Lisa Quirk
- Department of Internal Medicine, UT Southwestern Medical Center, Dallas, Texas, USA
| | - Michael Gonzales
- Department of Internal Medicine, UT Southwestern Medical Center, Dallas, Texas, USA
| | - Osiris Carranza
- Department of Internal Medicine, UT Southwestern Medical Center, Dallas, Texas, USA
| | - Samantha Bourque
- Department of Internal Medicine, UT Southwestern Medical Center, Dallas, Texas, USA
| | - Nargis Baset
- Department of Internal Medicine, UT Southwestern Medical Center, Dallas, Texas, USA
| | - Adam C. Yopp
- Harold C. Simmons Comprehensive Cancer Center, UT Southwestern Medical Center, Dallas, Texas, USA
- Department of Internal Medicine, Parkland Health, Dallas, Texas, USA
- Department of Surgery, UT Southwestern Medical Center, Dallas, Texas, USA
| | - Amit G. Singal
- Department of Internal Medicine, UT Southwestern Medical Center, Dallas, Texas, USA
- Harold C. Simmons Comprehensive Cancer Center, UT Southwestern Medical Center, Dallas, Texas, USA
- Department of Internal Medicine, Parkland Health, Dallas, Texas, USA
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Beal EW, Owen M, McNamara M, McAlearney AS, Tsung A. Patient-, Provider-, and System-Level Barriers to Surveillance for Hepatocellular Carcinoma in High-Risk Patients in the USA: a Scoping Review. J Gastrointest Cancer 2023; 54:332-356. [PMID: 35879510 DOI: 10.1007/s12029-022-00851-x] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/17/2022] [Indexed: 12/12/2022]
Abstract
PURPOSE Hepatocellular carcinoma has a dismal prognosis, except in patients diagnosed early who are candidates for potentially curative therapies. Most HCC cases develop in patients with chronic liver disease. Therefore, expert society guidelines recommend surveillance every 6 months with ultrasound with or without serum alpha-fetoprotein for high-risk patients. However, fewer than 20% of patients in the USA undergo appropriate surveillance. METHODS A systematic scoping review was performed with the objective of identifying barriers to screening among high-risk patients in the USA including mapping key concepts in the relevant literature, identifying the main sources and types of evidence available, and identifying gaps in the literature. A total of 43 studies published from 2007 to 2021 were included. Data were extracted and a conceptual framework was created. RESULTS Assessment of quantitative studies revealed poor surveillance rates, often below 50%. Three categories of barriers to surveillance were identified: patient-level, provider-level, and system-level barriers. Prevalent patient-level barriers included financial constraints, lack of awareness of surveillance recommendations, and scheduling difficulties. Common provider-level barriers were lack of provider awareness of guidelines for surveillance, difficulty accessing specialty resources, and time constraints in the clinic. System-level barriers included fewer clinic visits and rural/safety-net settings. Proposed interventions include improved patient/provider education, patient navigators, increased community/academic collaboration, and EMR-based reminders. CONCLUSION Based on these findings, there is a crucial need to implement and evaluate proposed interventions to improve HCC surveillance.
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Affiliation(s)
- Eliza W Beal
- The Ohio State University Comprehensive Cancer Center, Columbus, OH, 43210, USA.
- The Center for the Advancement of Team Science, Systems Thinking in Health Services and Implementation Science Research (CATALYST, The Ohio State University College of Medicine, AnalyticsColumbus, OH, 43210, USA.
| | - Mackenzie Owen
- The Ohio State University College of Medicine, Columbus, OH, 43210, USA
| | - Molly McNamara
- The Ohio State University College of Medicine, Columbus, OH, 43210, USA
| | - Ann Scheck McAlearney
- The Ohio State University Comprehensive Cancer Center, Columbus, OH, 43210, USA
- The Center for the Advancement of Team Science, Systems Thinking in Health Services and Implementation Science Research (CATALYST, The Ohio State University College of Medicine, AnalyticsColumbus, OH, 43210, USA
- The Department of Family and Community Medicine, The Ohio State University College of Medicine, Columbus, OH, 43210, USA
| | - Allan Tsung
- The Ohio State University Comprehensive Cancer Center, Columbus, OH, 43210, USA
- The Center for the Advancement of Team Science, Systems Thinking in Health Services and Implementation Science Research (CATALYST, The Ohio State University College of Medicine, AnalyticsColumbus, OH, 43210, USA
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