Socioeconomic Disparities in Prostate Cancer Treatment: The Impact of Area Deprivation Index on Initial Treatment Type for Localized PCa in a North-American Cohort.
By: Silvia Viganò, Marco Finati, Alex Stephens, Alessandro Bertini, Alessio Finocchiaro, Giovanni Lughezzani, Nicolò Buffi, Andrea Salonia, Alberto Briganti, Francesco Montorsi, Marta Rossanese, Ettore Di Trapani, Vincenzo Ficarra, Akshay Sood, Craig Rogers, Firas Abdollah

VUI Center for Outcomes Research, Analysis, and Evaluation, Henry Ford Health System, Detroit, Michigan, USA.
2025-1-9; doi: 10.1002/pros.24882
Abstract

Background

Socioeconomic status and geographical location contribute to disparities in localized prostate cancer (PCa) treatment. We examined the impact of area of deprivation index (ADI) on initial treatment type for localized PCa in a North-American cohort.

Methods

We performed a retrospective analysis of patients diagnosed with localized PCa, treated within Henry Ford Health (HFH), between 1995 and 2022, with available ADI-data. ADI was assigned based on residential census block group, ranked as a national deprivation percentile. Patients were categorized into three treatment-groups: radical prostatectomy (RP), radiation therapy (RT) and "other" treatment. Using multinomial logistic regression, we assessed ADI impact on treatment choice. After excluding patients without cT, ISUP-grade and/or PSA, we stratified by D'Amico risk-classification and repeated the regression analysis in each subgroup.

Results

Among 14,204 patients, 28.4% were NHB. Median (IQR) age at diagnosis was 65 (59-71) years. Median (IQR) ADI was 58 (36-83) for overall cohort and 51 (30-74), 66 (45-91), and 62 (39-88) for RP, RT, and "other" groups, respectively (p < 0.0001). Multivariable analysis showed ADI as an independent predictor of treatment choice (p = 0.01): for each 10-unit increase in ADI, patients were 3% more likely to receive RT and 10% less likely to receive RP. High ADI predicted a lower likelihood of receiving initial surgery across all risk-groups (p < 0.001).

Conclusions

Patients in more advantaged areas were more likely to receive RP, while those in disadvantaged areas received more RT. Recognizing how neighborhood factors affect treatment choices is crucial for improving health equity and reducing disparities in PCa outcomes.



© 2025 Wiley Periodicals LLC.

PMID:40066656






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