Evidence map›Paper›PMID 40048083›Full record

ArticleJournal of racial and ethnic health disparities2026

Utilization and Cancer Control Outcomes of Active Surveillance Amongst Black and White Men with Intermediate Risk Prostate Cancer in a Population-Based Analysis.

Shane A Tinsley, Alex Stephens, Chase Morrison, Caleb Richard, Keinnan Hares, Jonathan Lutchka, Craig Rogers, Firas Abdollah

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Article in Journal of racial and ethnic health disparities, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Shane A TinsleyVattikuti Urology Institute, Henry Ford Health, 2799 W Grand Blvd, Detroit, MI, 48202, USA.
Alex StephensPublic Health Sciences, Henry Ford Health, Detroit, MI, USA.
Chase MorrisonWayne State University School of Medicine, Detroit, MI, USA.
Caleb RichardWayne State University School of Medicine, Detroit, MI, USA.
Keinnan HaresWayne State University School of Medicine, Detroit, MI, USA.
Jonathan LutchkaWayne State University School of Medicine, Detroit, MI, USA.
Craig RogersVattikuti Urology Institute, Henry Ford Health, 2799 W Grand Blvd, Detroit, MI, 48202, USA.
Firas AbdollahVattikuti Urology Institute, Henry Ford Health, 2799 W Grand Blvd, Detroit, MI, 48202, USA. fabdoll1@hfhs.org.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionTo assess the utilization and prostate cancer (PCa)-specific mortality (PCSM) between non-Hispanic Black (NHB) and non-Hispanic White (NHW) on active surveillance (AS) with intermediate risk PCa (iPCa).

methodsThe Surveillance, Epidemiology, and End Results database was queried between 2010-2016. The rate of AS was calculated per year between NHB and NHW using univariable logistic analysis (UVA) and multivariable logistic analysis (MVA). Next, inverse probability of treatment weighting was performed on those that underwent watchful waiting (WW) and competing-risks cumulative incidence function (CIF) and MVA were used to assess the impact of race on other-cause mortality (OCM) and PCSM. Statistical significance defined as p < 0.05, but some observations were deemed non-statistically significant per our Benjamini-Hochberg procedures,

results50,315 patients had iPCa, and 3,310 underwent AS/WW. The rate of AS increased amongst NHB (+ 3.1%) and NHW (+ 5.7%) from 2010 - 2016. UVA did not show an association with race, but MVA showed a negative association, based on our Benjamini-Hochberg correction, between NHB and AS [OR 0.68 (95% CI: 5.4-0.87; p = 0.002)]. On CIF, NHB and NHW had non-significant differences in OCM in the weighted cohort (p = 0.03), due to the Benjamini-Hochberg correction, and that was confirmed with MVA with a HR of 1.23 (95% CI: 1.02-1.49; p = 0.03). However, the CIF on PCSM showed NHB had a higher risk of PCSM (p < 0.0001), and that was confirmed with MVA with a HR of 3.01 (95% CI: 2.00-4.53; p < 0.001).

conclusionThe utilization of AS for iPCa increased amongst NHB and NHW patients. Unfortunately, NHB race was associated with increased risk of PCSM from one year to the next compared to NHW patients.

Indexed as

Black or African AmericanProstatic NeoplasmsWatchful WaitingWhite PeopleAgedHumansMaleMiddle AgedSEER ProgramUnited StatesWhiteActive surveillanceNon-hispanic black menNon-hispanic white menProstate cancer-specific mortalityWatchful waiting

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.