The Influence of Disparities on Prostate Cancer at Diagnosis in the Charlotte Metropolitan Area

Introduction Prostate cancer (PCa) is the most diagnosed noncutaneous malignancy and second leading-cause of cancer death in men, yet screening is decreasing. As PCa screening has become controversial, socioeconomic disparities in PCa diagnosis and outcomes widen. This study was designed to determin...

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Bibliographic Details
Published in:Annals of surgical oncology 2024-11, Vol.31 (12), p.8394-8404
Main Authors: Holland, Alexis M., Wilson, Hadley H., Gambill, Benjamin C., Lorenz, William R., Salvino, Matthew J., Rose, Mikayla L., Brown, Kiara S., Tawkaliyar, Rahmatulla, Scarola, Gregory T., Patel, Vipul, Terejanu, Gabriel A., Matulay, Justin T.
Format: Article
Language:English
Subjects:
Aged
Artificial intelligence
Black or African American
Diagnosis
Early Detection of Cancer - statistics & numerical data
Follow-Up Studies
Healthcare Disparities - statistics & numerical data
Humans
Male
Malignancy
Medicine
Medicine & Public Health
Middle Aged
Oncology
Prediction models
Prognosis
Prostate cancer
Prostatic Neoplasms - diagnosis
Prostatic Neoplasms - epidemiology
Prostatic Neoplasms - pathology
Social Class
Socioeconomic Factors
Socioeconomic status
Surgery
Surgical Oncology
Urologic Oncology
White
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Summary:Introduction Prostate cancer (PCa) is the most diagnosed noncutaneous malignancy and second leading-cause of cancer death in men, yet screening is decreasing. As PCa screening has become controversial, socioeconomic disparities in PCa diagnosis and outcomes widen. This study was designed to determine the current disparities influencing PCa diagnosis in Charlotte, NC. Methods The Levine Cancer Institute database was queried for patients with PCa, living in metropolitan Charlotte. Socioeconomic status (SES) was determined by the Area Deprivation Index (ADI); higher ADI indicated lower SES. Patients were compared by their National Comprehensive Cancer Network risk stratification. Artificial intelligence predictive models were trained and heatmaps were created, demonstrating the geographic and socioeconomic disparities in late-stage PCa. Results Of the 802 patients assessed, 202 (25.2%) with high-risk PCa at diagnosis were compared with 198 (24.7%) with low-risk PCa. High-risk PCa patients were older (69.8 ± 9.0 vs. 64.0 ± 7.9 years; p  
ISSN:1068-9265
1534-4681
1534-4681
DOI:10.1245/s10434-024-15675-1