systems. Electronic health records containing uniform modules for functional status reporting may have better documentation. 5 We could not assess functional status documentation relating to clinical trial participation. We also could not determine whether PS documentation was ascertained at each clinical encounter or whether text was cut and pasted from previous EHRs. Future research should investigate approaches to improve documentation of functional status among patients with cancer.

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ObjectiveTo estimate contemporary population‐based patterns of the relative burden of prostate cancer‐specific mortality (PCSM) attributable to each N0M0 prostate cancer risk‐group, that may guide prioritization in research, trial design, and clinical practice.MethodsWe categorized 2004‐2015 Surveillance, Epidemiology, and End Results database patients by risk group (low, favorable intermediate, unfavorable intermediate, high, and very highrisk). Using the Fine‐Gray method, we calculated the relative burden of 10‐year PCSM attributable to each risk group.ResultsAmong N = 337 162 men (6.8‐year median follow‐up; median age 65 years), the relative proportion of low‐, favorable intermediate‐, unfavorable intermediate‐, high‐, and very high‐risk diagnoses were 29.9% (N = 100 969), 31.1% (N = 104 696), 17.9% (N = 60 360), 18.1% (N = 61 023), and 3.0% (N = 10 114). Within 10 years of diagnosis, among patients who died of prostate cancer (N = 15 064), 5.0% (N = 746) had low‐risk, 13.7% (N = 2060) had favorable intermediate‐risk, 16.1% (N = 2429) had unfavorable intermediate‐risk, 47.8% (N = 7196) had high‐risk, and 17.5% (N = 2633) had very high‐risk disease at diagnosis. Patients aged 65 and older accounted for 51.9% of all diagnoses and 72.3% of 10‐year PCSM. Although black patients accounted for 15.0% of low‐risk diagnoses, they accounted for 20.6% of 10‐year PCSM. White patients accounted for 80.3% of low‐risk diagnoses and 75.7% of 10‐year PCSM.ConclusionAlthough high‐risk and very high‐risk disease account for one‐fifth of diagnoses, they account for two‐thirds of 10‐year PCSM. Older patients and black patients with low‐risk disease accounted for a disproportionately large proportion of deaths. These findings support targeting research toward high‐risk disease and ensuring adequate representation of older and black men in clinical trials.

PURPOSE: We assessed sociodemographic factors associated with and survival implications of refusal of potentially survival-prolonging locoregional treatment (LT, including radiotherapy and surgery) despite provider recommendation among men with localized prostate adenocarcinoma. METHODS: The National Cancer Database (2004-2015) identified men with TxN0M0 prostate cancer who either received or refused LT despite provider recommendation. Multivariable logistic regression defined adjusted odds ratios (AORs) with 95% CI of refusing LT, with sociodemographic and clinical covariates. Models were stratified by low-risk and intermediate- or high-risk (IR or HR) disease, with a separate interaction analysis between race and risk group. Multivariable Cox proportional hazard ratios compared overall survival (OS) among men who received versus refused LT. RESULTS: Of 887,839 men (median age 64 years, median follow-up 6.14 years), 2,487 (0.28%) refused LT. Among men with IR or HR disease (n = 651,345), Black and Asian patients were more likely to refuse LT than White patients (0.35% v 0.29% v 0.17%; Black v White AOR, 1.75; 95% CI, 1.52 to 2.01; P < .001; Asian v White AOR, 1.47; 95% CI, 1.05 to 2.06; P = .027, race * risk group interaction P < .001). Later year of diagnosis, community facility type, noninsurance or Medicaid, and older age were also associated with increased odds of LT refusal, overall and when stratifying by risk group. For men with IR or HR disease, LT refusal was associated with worse OS (5-year OS 80.1% v 91.5%, HR, 1.65, P < .001). CONCLUSION: LT refusal has increased over time; racial disparities were greater in higher-risk disease. Refusal despite provider recommendation highlights populations that may benefit from efforts to assess and reduce barriers to care.