Comparing barriers to early stage diagnosis of hepatocellular carcinoma between safety net hospitals and academic medical centers: An analysis from the United States Safety-Net Collaborative.

HCC racial bias screening social determinants of health

Journal

Journal of surgical oncology
ISSN: 1096-9098
Titre abrégé: J Surg Oncol
Pays: United States
ID NLM: 0222643

Informations de publication

Date de publication:
01 Aug 2024
Historique:
revised: 15 05 2024
received: 07 11 2023
accepted: 20 07 2024
medline: 1 8 2024
pubmed: 1 8 2024
entrez: 1 8 2024
Statut: aheadofprint

Résumé

Early detection of hepatocellular carcinoma (HCC) is associated with improved survival. However, a greater proportion of patients treated at safety net hospitals (SNHs) present with late-stage disease compared to those at academic medical centers (AMCs). This study aims to identify barriers to diagnosis of HCC, highlighting differences between SNHs and AMCs. The US Safety Net Collaborative-HCC database was queried. Patients were stratified by facility of diagnosis (SNH or AMC). Patient demographics and HCC screening rates were examined. The primary outcome was stage at diagnosis (AJCC I/II-"early"; AJCC III/IV-"late"). 1290 patients were included; 50.2% diagnosed at SNHs and 49.8% at AMCs. At SNHs, 44.4% of patients were diagnosed late, compared to 27.6% at AMCs. On multivariable regression, Black race was associated with late diagnosis in both facilities (SNH: odds ratio 1.96, p = 0.03; AMC: 2.27, <0.01). Screening was associated with decreased odds of late diagnosis (SNH: 0.46, p = 0.04; AMC: 0.37, p < 0.01). Black race was associated with late diagnosis of HCC, while screening was associated with early diagnosis across institutional types. These results suggest socially constructed racial bias in screening and diagnosis of HCC. Screening efforts targeting SNH patients and Black patients at all facilities are essential to reduce disparities.

Sections du résumé

BACKGROUND AND OBJECTIVES OBJECTIVE
Early detection of hepatocellular carcinoma (HCC) is associated with improved survival. However, a greater proportion of patients treated at safety net hospitals (SNHs) present with late-stage disease compared to those at academic medical centers (AMCs). This study aims to identify barriers to diagnosis of HCC, highlighting differences between SNHs and AMCs.
METHODS METHODS
The US Safety Net Collaborative-HCC database was queried. Patients were stratified by facility of diagnosis (SNH or AMC). Patient demographics and HCC screening rates were examined. The primary outcome was stage at diagnosis (AJCC I/II-"early"; AJCC III/IV-"late").
RESULTS RESULTS
1290 patients were included; 50.2% diagnosed at SNHs and 49.8% at AMCs. At SNHs, 44.4% of patients were diagnosed late, compared to 27.6% at AMCs. On multivariable regression, Black race was associated with late diagnosis in both facilities (SNH: odds ratio 1.96, p = 0.03; AMC: 2.27, <0.01). Screening was associated with decreased odds of late diagnosis (SNH: 0.46, p = 0.04; AMC: 0.37, p < 0.01).
CONCLUSIONS CONCLUSIONS
Black race was associated with late diagnosis of HCC, while screening was associated with early diagnosis across institutional types. These results suggest socially constructed racial bias in screening and diagnosis of HCC. Screening efforts targeting SNH patients and Black patients at all facilities are essential to reduce disparities.

Identifiants

pubmed: 39087490
doi: 10.1002/jso.27787
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

© 2024 Wiley Periodicals LLC.

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Auteurs

Sophia L Stylianos (SL)

Division of Surgical Oncology, Department of Surgery, Winship Cancer Institute, Emory University, Atlanta, Georgia, USA.

Caroline R Goel (CR)

Division of Surgical Oncology, Department of Surgery, Winship Cancer Institute, Emory University, Atlanta, Georgia, USA.

Rachel M Lee (RM)

Division of Surgical Oncology, Department of Surgery, Winship Cancer Institute, Emory University, Atlanta, Georgia, USA.

Adam Yopp (A)

Division of Surgical Oncology, Department of Surgery, University of Texas Southwestern Medical School, Dallas, Texas, USA.

Joshua Kronenfeld (J)

Division of Surgical Oncology, Department of Surgery, University of Miami Medical School, Miami, Florida, USA.

Neha Goel (N)

Division of Surgical Oncology, Department of Surgery, University of Miami Medical School, Miami, Florida, USA.

Jashodeep Datta (J)

Division of Surgical Oncology, Department of Surgery, University of Miami Medical School, Miami, Florida, USA.

Ann Lee (A)

Division of Surgical Oncology, Department of Surgery, New York University Medical School, New York, New York, USA.

Eric Silberfein (E)

Division of Surgical Oncology, Department of Surgery, Baylor College of Medicine, Houston, Texas, USA.

Maria C Russell (MC)

Division of Surgical Oncology, Department of Surgery, Winship Cancer Institute, Emory University, Atlanta, Georgia, USA.

Classifications MeSH