ArticleProstate cancer and prostatic diseases2023
Intensity of observation with active surveillance or watchful waiting in men with prostate cancer in the United States.
Article in Prostate cancer and prostatic diseases, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Trends in the Adoption of MRI Associated Biopsy for Active Surveillance Within the First Year After Localized Prostate Cancer Diagnosis: A SEER-Medicare Cohort Study.Cancer medicine · 2026Article
- Components of the Endosome-Lysosome Vesicular Machinery as Drivers of the Metastatic Cascade in Prostate Cancer.Cancers · 2024Review
- Concerns regarding prostate cancer screening guidelines in minority populations.Prostate cancer and prostatic diseases · 2024Article
- The Impact of Physical Activity on the Outcomes of Active Surveillance in Prostate Cancer Patients: A Scoping Review.Cancers · 2024Article
- Prostate cancer screening in African American men: a review of the evidence.Journal of the National Cancer Institute · 2024Review
- Patient and physician perspectives on treatments for low-risk prostate cancer: a qualitative study.BMC cancer · 2023Article
- Comparing Active Surveillance and Watchful Waiting With Radical Treatment Using Machine Learning Models Among Patients With Prostate Cancer.JCO clinical cancer informatics · 2023Article
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Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundPopulation-based studies assessing various active surveillance (AS) protocols for prostate cancer, to date, have inferred AS participation by the lack of definitive treatment and use of post-diagnostic testing. This is problematic as evidence suggests that most men do not adhere to AS protocols. We sought to develop a novel method of identifying men on AS or watchful waiting (WW) independent of post-diagnostic testing and aimed to identify possible predictors of follow-up intensity in men on AS/WW.
methodsA predictive model was developed using SEER watchful waiting data to identify men ≥66 years on AS between 2010-2015, irrespective of post-diagnostic testing, and applied to SEER-Medicare database. AS intensity among different variables including age, prostate-specific antigen (PSA) level, number of total and positive biopsy cores, Charlson comorbidity index, race (Black vs. non-Black), US census region, and county poverty, income, and education levels were compared using multivariable regression analyses for PSA testing, surveillance biopsy, and magnetic resonance imaging (MRI).
resultsA total of 2238 men were identified as being on AS. Of which, 81%, 33%, and 10% had a PSA test, surveillance biopsy, and MRI scan within 1-2 years, respectively. On multivariable analyses, Black men were less likely to have a PSA test (adjusted rate ratio [ARR] 0.60, 95% CI: 0.53-0.69), MRI scan (ARR 0.40, 95% CI: 0.24-0.68), and surveillance biopsy (ARR 0.71, 95% CI: 0.55-0.92) than non-Black men. Men within the highest income quintile were more likely to undergo PSA test (ARR 1.16, 95% CI: 1.05-1.27) and MRI scan (ARR 1.60, 95% CI 1.15-2.27) compared to men with the lowest income.
conclusionsBlack men and men with lower incomes on AS underwent less rigorous monitoring. Further study is needed to understand and ameliorate differences in AS rigor stemming from sociodemographic differences.
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