Abstract

You have accessJournal of UrologyCME1 Apr 2023PD20-06 RACE-BASED TRENDS IN THE PROPORTION OF METASTATIC PROSTATE CANCER AT DIAGNOSIS BETWEEN 2005 AND 2020: FINDINGS FROM THE NATIONAL CANCER DATABASE Muhieddine Labban, Brittany D. Berk, Benjamin V. Stone, David-Dan Nguyen, Dejan K. Filipas, Edoardo Beatrici, Sandeep S. Voleti, Firas Abdollah, Adam S. Kibel, and Quoc-Dien Trinh Muhieddine LabbanMuhieddine Labban More articles by this author , Brittany D. BerkBrittany D. Berk More articles by this author , Benjamin V. StoneBenjamin V. Stone More articles by this author , David-Dan NguyenDavid-Dan Nguyen More articles by this author , Dejan K. FilipasDejan K. Filipas More articles by this author , Edoardo BeatriciEdoardo Beatrici More articles by this author , Sandeep S. VoletiSandeep S. Voleti More articles by this author , Firas AbdollahFiras Abdollah More articles by this author , Adam S. KibelAdam S. Kibel More articles by this author , and Quoc-Dien TrinhQuoc-Dien Trinh More articles by this author View All Author Informationhttps://doi.org/10.1097/JU.0000000000003286.06AboutPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookLinked InTwitterEmail Abstract INTRODUCTION AND OBJECTIVE: Inequity in access to prostate cancer screening, diagnosis, and definitive treatment is widely described. Herein, we sought to evaluate the Black-White differences in the proportion of metastatic status at diagnosis between 2005 and 2020. METHODS: We retrospectively queried the National Cancer Database between 2005 and 2020 to identify non-Hispanic Black (NHB) and non-Hispanic White (NHW) men who received a clinical or pathologic diagnosis of metastatic prostatic cancer across four time periods (2005-2008; 2009-2012; 2013-2016; and 2017-2020). For NHB and NHW men, we compared patient sociodemographics, rural/urban residence, and the region and type of facility where care was sought. Then, we fitted a logistic regression adjusting for covariates to predict metastatic status at diagnosis with an interaction term for race and period of diagnosis. Interaction analysis was used to predict the odds of metastatic status at diagnosis for NHB compared to NHW men across periods. RESULTS: The cohort included 1,838,368 men of which 287,395 (15.6%) were NHB. NHB men were more likely to have Medicaid insurance or to be uninsured and to seek care at non-academic institutions (p<0.001). After adjusting for covariates, NHB men had a higher proportion of metastatic prostate cancer at diagnosis (aOR 1.37; 95%CI 1.34-1.40). We found an interaction between race and time periods (p<0.001) suggesting a statistically significant difference in trends over time by race. In margin analysis, the odds in the proportion of metastatic status at diagnosis among NHB compared to NHW were highest for the 2005-2008 period, narrowed for the 2009-2012 period, and were stable over the last decade (Figure 1). CONCLUSIONS: Although Black-White disparities in the proportion of metastatic prostate cancer at diagnosis narrowed between 2005-2012, they remained stable between 2013-2020. Since the dataset is not a population-based registry, these results cannot be used to determine the incidence or prevalence of metastatic disease. In addition, trends in the proportion of metastatic disease might also be influenced by changes in the definition of low-risk disease. Nevertheless, our findings suggest that there remain significant structural barriers to achieving equity. Source of Funding: None © 2023 by American Urological Association Education and Research, Inc.FiguresReferencesRelatedDetails Volume 209Issue Supplement 4April 2023Page: e585 Advertisement Copyright & Permissions© 2023 by American Urological Association Education and Research, Inc.MetricsAuthor Information Muhieddine Labban More articles by this author Brittany D. Berk More articles by this author Benjamin V. Stone More articles by this author David-Dan Nguyen More articles by this author Dejan K. Filipas More articles by this author Edoardo Beatrici More articles by this author Sandeep S. Voleti More articles by this author Firas Abdollah More articles by this author Adam S. Kibel More articles by this author Quoc-Dien Trinh More articles by this author Expand All Advertisement PDF downloadLoading ...

Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call