Racial differences in the surgical care of Medicare beneficiaries with localized prostate cancer
Associated Data
Abstract
Importance
There is extensive evidence suggesting that Black men with localized prostate cancer (PCa) have worse cancer-specific mortality compared to their non-Hispanic White (nHW) counterparts.
Objective
To evaluate racial disparities in the use, quality of care, and outcomes of radical prostatectomy (RP) in elderly men with non-metastatic PCa.
Design
Inclusion of patients with localized PCa who underwent RP within the first year of PCa diagnosis in the Surveillance, Epidemiology, and End Results (SEER)-Medicare database between 1991 and 2009.
Setting
Retrospective analysis of outcomes stratified according to race (Black vs. nHW).
Participants
2,020 (7.6%) Black and 24,462 (92.4%) nHW elderly men with localized PCa who underwent RP.
Main Outcomes and Measures
Process of care (i.e. time to treatment, lymph node dissection), as well as outcome measures (i.e. complications, emergency department visits, readmissions, PCa-specific and all-cause mortality, costs) were evaluated using Cox proportional hazards regression. Multivariable conditional logistic regression and quantile regression were used to study the association of racial disparities with process of care and outcome measures.
Results
59.4% of Blacks vs. 69.5% of nHWs underwent RP within 90 days (p<.001); the top 50% of Blacks had an 8-day treatment delay compared to nHW (p<.001). Blacks were less likely to undergo lymph node dissection and to receive blood transfusions, but more likely to experience postoperative complications, subsequent emergency department visits, and readmissions (all p<.05). The surgical treatment of Black patients was associated with a higher incremental annual cost (top 50% spent $1185.5 more). There was no difference in PCa-specific mortality (p=.16) or all-cause mortality (p=.64) between Black and nHW men.
Conclusions and Relevance
Blacks treated with RP for localized PCa are more likely to experience adverse events and incur higher costs compared to nHW men, however this does not translate into a difference in PCa-specific or all-cause mortality.
INTRODUCTION
Prostate cancer (PCa) is the most frequently diagnosed non-cutaneous cancer in the male US population, with an estimated 233,000 new cases in 2014.1 The management of PCa is driven by many factors including the severity of disease at presentation. Definitive therapy for localized PCa with curative intent is performed with radical prostatectomy (RP), radiotherapy (RT), or combinations thereof, and has shown to decrease PCa-specific mortality and improve overall survival, especially in patients with intermediate to high-risk disease.2–6
Compelling data suggest that race and ethnicity strongly correlate with survival following a PCa diagnosis.7–12 Godley et al found that Blacks suffer from higher PCa-specific mortality compared to Whites,11 and this gap may be widening.13 The underlying reasons are unclear, but likely result from complex biological, cultural and sociodemographic differences. Nonetheless, there is evidence for a substantial disparity in the quality of received care. Some studies demonstrated substantial variability in treatment selection of racial and ethnic minorities, as well as inconsistency in outcomes of treatment.11,14–16 Underwood et al showed that Black and Hispanics were less likely to receive definitive therapy than Whites,10 which has prompted investigators to hypothesize that a large part of care disparities stem from lower rates of definitive treatment for Blacks.
Based on these considerations, we assessed the effect of race on quality of care and survival of men receiving RP as definitive treatment of localized PCa. By restricting our cohort to a more homogeneous group of surgical candidates enrolled in Medicare, we sought to attenuate the effect of unmeasured confounders on the outcomes of treatment for PCa.
MATERIALS AND METHODS
Population source
The current study used the most recent version of the Surveillance, Epidemiology, and End Results (SEER)-Medicare linked database. The SEER-Program provides information on cancer statistics in an effort to reduce the burden of cancer among the US population. The SEER collects incidence and population data associated by age, sex, race, clinical demographics, tumor characteristics, primary treatment and cause of death from cancer registries. A signed research data agreement is required to access these data. Linkage with Medicare claims for covered health care services provides data from the time of a person’s Medicare eligibility until death. The SEER database covers approximately 28% of the US population. For linkage, approximately 93% of men aged ≥65 years in the SEER files were matched to the Medicare enrollment file.17
Study cohort
The exclusion process for our cohort is illustrated in Figure 1. After selection, 26,482 men with localized PCa who underwent RP within the first year of PCa diagnosis remained for final analyses.
Depiction of inclusion and exclusion criteria for the cohort of 26,482 men undergoing radical prostatectomy for localized prostate cancer. AJCC = American Joint Committee on Cancer, PCa = Prostate Cancer
Definitive treatment within 12 months of diagnosis was assessed by searching inpatient claims from the Medicare Provider Analysis and Review file, based on ICD 9th Edition Clinical Modification (ICD-9-CM) codes, and physician claims in the Carrier Claims file, based on American Medical Association Current Procedural Terminology and ICD-9-CM codes for PCa diagnosis and procedure codes.
Covariates
For each patient, age, year of diagnosis, population density, marital status, 2000 census tract percent with 4-year college education, 2000 census tract annual median income and region, were assigned.18 Age was categorized into four groupings (<75, 75–79, 80–85, >85 years). The Charlson comorbidity index (CCI) was derived from the Medicare claims one year prior to PCa diagnosis, using a previously validated algorithm.19 Additionally, Gleason score and American Joint Committee on Cancer (AJCC) clinical stage were available. Prior to 2003, Gleason grade of 2–4, 5–7, and 8–10 corresponded to well, moderately, and poorly differentiated disease, respectively, whereas thereafter a Gleason grade of 2–4, 5–6, and 7–10 corresponded to well, moderately, and poorly differentiated PCa, respectively. Clinical extension information provided by SEER was used to determine cancer stage (T1, T2, T3). Finally, patients were stratified into three risk groups for sensitivity analyses. Risk group 1 consisted of localized (T1/T2) low-risk disease (well and moderately differentiated); risk group 2 consisted of localized (T1/T2) high-risk disease (poorly differentiated); and risk group 3 consisted of locally advanced (T3) disease of any grade
Process of care and outcome measures
Relying on previous methodology,20 process of care measures included treatment type and time to treatment, as well as the use of additional cancer therapies (RT, androgen deprivation therapy [ADT]).16 Delayed treatment was defined as RP >3 month from PCa diagnosis to treatment.21 Furthermore, we included lymph node dissection (LND) as a quality of care measure.22 Sensitivity analyses restricted to individuals with intermediate and high-risk disease were also performed. Outcome measures consisted of complications, emergency department (ED) visits, readmissions, mortality within 30 days of surgery and thereafter (>30 days). We identified the following groups of complications: cardiac, respiratory, vascular, wound/bleeding, genitourinary, bowel, miscellaneous medical, and miscellaneous surgical.23
Long-term outcome measures consisted of PCa-specific- and all-cause mortality. Survival was determined by Medicare vital statistics as well as SEER linkage to death certificates (National Death Index). The effect of comorbidities on survival was estimated with Cox proportional hazards modeling and the weights for the individual comorbid conditions were comprised by coefficient estimates of the condition indicators.
Statistical analyses
The primary variable of interest in all models was race (Black vs. nHW). First, we analyzed the association between race and outcomes (complications, short-term mortality, number of readmissions and ED visits, PCa-specific mortality, and all-cause mortality). Summary statistics were constructed using frequencies and proportions for categorical variables, as well as medians and interquartile ranges for continuous variables. Categorical values were compared using chi-square, and continuous variables were compared with the Wilcoxon Rank sum test.
Cox proportional hazard models were used to assess PCa-specific mortality and all-cause mortality outcomes. Models were adjusted for age, martial, status, TNM stage, grade, CCI, census tract income and education quartile and urban vs. rural region of residence. Additional sensitivity analyses restricted to the first half of the study (1992–2000) were conducted to rule out that a lack of difference in survival was not simply a function of short follow-up.
To account for variation in treatment patterns between local treatment areas, we adjusted for health service areas (HSA). In particular, we assumed that the baseline hazard could be different across HSA and fitted a Cox model stratified by HSA (equivalent to treating HSA as a fixed effects).24 Similarly, logistic regression models accounted for HSA as a stratification variable and adjusted for all Table 1 covariates were used to model if race was a predictor for delayed treatment, additional cancer therapy, LND, any complications, readmission, or ED visits. Conditional logistic regression was used to eliminate the HSA stratification effect in the model. The parameters from the stratified Cox model and the conditional logistic regression model can be considered subject-specific parameters; as such, the estimates presented can be interpreted as hazard ratios (or odds ratios) of a patient dying, for a person of one race compared to a person identical on all other possible covariates except for race.
Table 1
Descriptive characteristics of 26,482 men undergoing radical prostatectomy for localized prostate cancer within the first year after diagnosis.
| Total | Blacks | Non-Hispanic Whites | p | |
|---|---|---|---|---|
| Patients; n (%) | 26,482 (100.0) | 2,020 (7.6) | 24,462 (92.4) | - |
| Year | ||||
| 1992–1999 | 7,709 (29.1) | 466 (23.1) | 7,243 (29.6) | <.001 |
| 2000–2009 | 18,773 (70.9) | 1,554 (76.9) | 17,219 (70.4) | |
| Age at Diagnosis; median (IQR) | - | 69.6 (67.7–72.7) | 70.0 (67.9–72.8) | .001 |
| Age at Diagnosis; n (%) | ||||
| <75.0 | 22,980 (86.8) | 1,785 (87.0) | 21,222 (86.8) | |
| 75.0 – 79.9 | 2,632 (9.9) | 185 (9.2) | 2,447 (10.0) | .29 |
| 80.0 – 85.0 | 637 (2.4) | 54 (2.7) | 583 (2.4) | |
| >85.0 | 233 (0.9) | 23 (1.1) | 210 (0.8) | |
| CCI; n (%) | ||||
| 0 | 21,048 (79.5) | 1,329 (65.8) | 19,719 (80.1) | |
| 1 | 4,013 (15.2) | 448 (22.2) | 3,565 (14.6) | <.001 |
| ≥2 | 1,421 (5.3) | 243 (12.0) | 1,178 (4.8) | |
| Region; n (%) | ||||
| Midwest | 4,387 (16.6) | 431 (21.3) | 3,956 (16.1) | |
| Northeast | 3,297 (12.5) | 249 (12.3) | 3,048 (12.5) | <.001 |
| South | 5,094 (19.2) | 785 (38.9) | 4,309 (17.6) | |
| West | 13,704 (51.7) | 555 (27.5) | 13,149 (53.8) | |
| Population Density; n (%) | ||||
| Metropolitan | 21,948 (82.9) | 1,819 (90.1) | 20,129 (82.3) | |
| Non-Metropolitan | 4,534 (17.1) | 201 (9.9) | 4,333 (17.7) | |
| Tumor stage; n (%) | ||||
| 1 | 3,295 (12.4) | 277 (13.7) | 3,018 (12.3) | |
| 2 | 14,880 (56.2) | 1,241 (61.4) | 13,639 (55.8) | <.001 |
| 3 | 8,307 (31.4) | 502 (24.9) | 7,805 (31.9) | |
| Tumor grade; n (%) | ||||
| 1 | 432 (1.6) | 26 (1.3) | 406 (1.7) | |
| 2 | 14,091 (53.2) | 1,044 (51.7) | 13,047 (53.3) | .12 |
| 3 | 11,959 (45.2) | 950 (47.0) | 11,009 (45.0) | |
| Risk Group; n (%)# | ||||
| Low Risk | 14,523 (54.8) | 1,070 (53.0) | 13,453 (55.0) | .08 |
| High Risk | 11,959 (45.2) | 950 (47.0) | 11,009 (45.0) | |
| Marital Status; n (%) | ||||
| Married | 21,320 (80.5) | 1,282 (63.5) | 20,038 (81.9) | |
| Unmarried | 3,930 (14.8) | 619 (30.6) | 3,311 (13.5) | <.001 |
| Unknown | 1,232 (4.7) | 119 (5.9) | 1,113 (4.6) | |
| % College Education; median (IQR) | - | 12.8 8.0–24.0) | 26.8 (15.3–44.4) | <.001 |
| Household Income; USD* median (IQR) | - | 34,884 (25,709–46,934) | 50,662 (38,364–68,833) | <.001 |
Abbreviations: AJCC, American Joint Commitée on Cancer; IQR, interquartile range.
To ensure that the disparities in outcomes were not readily explained by surgeon characteristics, we compared surgeon caseload, experience and training between Blacks and nHWs. Physicians were identified in the Medicare Outpatient Statistical Analytical File and National Claims History claims using unique physician identifier numbers as previously described.25,26
Finally, quantile regression was used to determine the effect of race on conditional means of continuous outcomes. Outcomes of interest were: time from diagnosis to surgery (in days), time to RT, and annual incremental cost (determined by total healthcare spending the year after PCa diagnosis minus total healthcare spending in the year before diagnosis). We conducted sensitivity analyses by constructing weighted Cox proportional hazard models using inverse probabilities of race weights, which give additional weight to minority patients, derived from propensity scores based on the patient, hospital, and surgical characteristics mentioned above and found our Cox model results to be consistent.27
All statistical testing was two-sided with a level of significance set at 0.05. Analyses were performed using SAS, version 9.3 (SAS Institute, Cary, North Carolina). An institutional review board waiver was obtained prior to conducting this study, in accordance with institutional regulation when dealing with de-identified administrative data.
RESULTS
Study cohort characteristics
Between January 1992 and December 2009, 26,482 patients who underwent RP for localized PCa and met the inclusion criteria were recorded in SEER. Of these, 2,020 (7.6%) were Blacks and 24,462 (92.4%) were nHWs. Baseline characteristics are listed in Table 1. The proportion of Blacks undergoing surgery increased from 6.0 to 8.3% between 1992–1999 and 2000–2009. Blacks were more likely to have more comorbidities (CCI ≥2, p<.001), to reside in metropolitan areas (90.1 vs. 82.3%, p<.001), to reside in the south (38.9%), to be single (30.6 vs. 13.5%, p<.001), to not hold college education (12.8 vs. 26.8%, p<.001), and to have a lower household income (34,884 vs. 50,662 USD, p<.001) than nHWs. Lower tumor stage (AJCC Stage I–II) was more prevalent in Blacks (75.1 vs. 68.1%), whereas nHWs had a higher percentage of Stage III disease (31.9 vs. 24.9%, p<.001). There was no significant difference in surgeon characteristics between the two groups.
Treatment and quality of care
On average, Blacks experienced a longer treatment delay than nHW men (mean 79 vs. 71 days, p=.001; eTable1). In multivariate analyses, Blacks were less likely to receive RP within 3 months of diagnosis (Odds ratio [OR] (95% Confidence interval [CI]: 0.65 (0.59–0.71), p<.001; Table 2) and the top 50% had an absolute treatment delay of 7 days (95% Confidence Limit [CL] 3.64–10.13, eTable 2). This difference persisted at 6 and 9 months, where 18.0 and 12.3% of Blacks vs. 11.0 and 7.0% of nHWs have not had surgery, respectively (p<.001). Overall, 57.7% of Blacks underwent surgery without further adjuvant therapy as compared to 61.3% nHWs (p=.001). In trend analyses of all patients undergoing RP from 1992–2009, this gap has prevailed since the late 1990’s (eFigure 1). When surgery was performed, Blacks were less likely to undergo LND compared to nHWs (52.8 vs. 61.5%; OR: 0.76, 95% CI: 0.65–0.8, p<.001). This difference persisted in sensitivity analyses restricted to patients with intermediate and high-risk disease (OR: 0.96, 95% CI: 0.77–1.1, p=.33 and OR: 0.92, 95% CI: 0.67–1.05, p=.13, respectively; data not shown). In univariate analyses, Black race was correlated with more postoperative complications, ED visits, readmissions, mortality and less transfusions (all p<.05; eTable 1). In multivariable analyses, Blacks had increased odds of ED visits within 30 days and >30 days following RP (OR: 1.48, 95% CI: 1.18–1.86 and OR: 1.45, 95% CI: 1.19–1.8) and readmissions within 30 days and >30 days (OR: 1.28, 95% CI: 1.02–1.6 and OR: 1.27, 95% CI: 1.07–1.51) compared to nHWs (Table 2, Figure 2).
Odd’s ratios (OR) and Hazard ratios (HR) of outcome measures and mortality for Blacks (vs. non-Hispanic Whites) after radical prostatectomy (RP) for localized prostate cancer (PCa). ED = Emergency department
Table 2
Adjusted multivariable conditional logistic regression analyses testing quality of care measures in 26,482 men undergoing radical prostatectomy for localized prostate cancer within the first year after diagnosis stratified according to ethnicity, SEER-Medicare 1992–2009.
| Blacks vs. Non-Hispanic Whites | ||
|---|---|---|
| OR (95% CI) | p-value | |
| Surgery within 3 month of PCa Diagnosis | ||
| Non-Hispanic Whites | 1 (Ref.) | |
| African Americans | 0.65 (0.59–0.71) | <.001 |
| Any radiotherapy | ||
| Non-Hispanic Whites | 1 (Ref.) | |
| African Americans | 0.89 (0.80–1.0) | .05 |
| Adjuvant Radiotherapy* | ||
| Non-Hispanic Whites | 1 (Ref.) | |
| African Americans | 1.17 (1.00–1.38) | .05 |
| Lymph node dissection | ||
| Non-Hispanic Whites | 1 (Ref.) | |
| African Americans | 0.76 (0.656–0.80) | <.001 |
| Transfusion at 30 days | ||
| Non-Hispanic Whites | 1 (Ref.) | |
| African Americans | 0.84 (0.62–1.15) | .27 |
| Any 30-day complications | ||
| Non-Hispanic Whites | 1 (Ref.) | |
| African Americans | 1.01 (0.90–1.13) | .88 |
| ED visits within 30 days of treatment | ||
| Non-Hispanic Whites | 1 (Ref.) | |
| African Americans | 1.48 (1.18–1.86) | <.001 |
| Readmission within 30 days | ||
| Non-Hispanic Whites | 1 (Ref.) | |
| African Americans | 1.28 (1.02–1.61) | .04 |
| Transfusion >30 days | ||
| Non-Hispanic Whites | 1 (Ref.) | |
| African Americans | 0.98 (0.61–1.13) | .24 |
| Any complications >30 days | ||
| Non-Hispanic Whites | 1 (Ref.) | |
| African Americans | 1.0 (0.88–1.09) | .64 |
| ED visits >30 days of treatment | ||
| Non-Hispanic Whites | 1 (Ref.) | |
| African Americans | 1.45 (1.19–1.76) | <.001 |
| Readmission >30 days | ||
| Non-Hispanic Whites | 1 (Ref.) | |
| African Americans | 1.27 (1.07–1.51) | .006 |
Models adjusted for all Table 1 covariates and HSA
Abbreviations: Ref. = Referent (variable)
With regard to additional cancer therapies, we recorded a significantly shorter period from PCa diagnosis to RT after RP for Black men in the top 50% of our cohort. Specifically, Blacks experienced RT about 95 days earlier compared to nHWs (CL: −149 to −42 days, p=.001; eTable 2). They were also more likely to receive ADT (p=0.001). Additionally, once secondary cancer treatment (ADT, RT) was administered, time to treatment was significantly shorter than in nHW (eTable 1).
Median total calculated costs were 13,015 USD (IQR: 8,279–19,314) for Blacks compared with 15,758 USD (IQR: 8,439–17,080) for nHWs. The surgical management of Blacks was associated with higher incremental annual cost with the top 50% spending 1,186 USD more compared to nHWs (95% CI: 805–1,566; p<.001; eTable 2).
Overall and prostate cancer-specific mortality
With a mean follow-up of 81.4 months (IQR: 43.1–106) compared to 93.3 (IQR: 49.2–127.4), unadjusted all-cause mortality, but not PCa-specific mortality, was significantly higher for Blacks compared to nHWs (HR: 1.097, 95% CI: 1.02–1.18, p=.02; data not shown), respectively. However, with adjustment for HSA, there was no difference in all-cause (HR: 1.07, 95% CI: 0.97–1.17, p=.16) and PCa-specific mortality (HR: 1.07, 95% CI: 0.8–1.4, p=.64; Table 3). In sensitivity analyses restricting the cohort to patients treated between 1992 and 1999, with a median follow-up of 150 months, race was not an independent predictor for all-cause (HR: 1.02, 95% CI: 0.9–1.15, p=.78) and PCa-specific mortality (HR: 0.95, 95% CI: 0.65–1.38, p=.77; data not shown).
Table 3
Multivariable Cox regression analyses testing overall and cancer specific survival in 26,482 men undergoing radical prostatectomy for localized prostate cancer within the first year of diagnosis
| Blacks vs. Non-Hispanic Whites | ||
|---|---|---|
| HR (95% CI) | p-value | |
| Overall mortality | ||
| Non-Hispanic Whites | 1 (Ref.) | .16 |
| Blacks | 1.07 (0.97–1.17) | |
| PCa-specific mortality | ||
| Non-Hispanic Whites | 1 (Ref.) | .64 |
| Blacks | 1.07 (0.80–1.42) | |
Models adjusted for age, martial, status, TNM stage, grade, CCI, census tract income and education quartile and urban vs. rural region of residence.
Abbreviations: HR = Hazard Ratio, CI = Confidence Interval, PCa = Prostate Cancer, Ref. = Referent (variable)
COMMENT
There is abundant controversy vis-à-vis the gap in PCa outcomes between Blacks and nHWs. Whilst population-based data suggest higher PCa-specific mortality across all tumor stages for Blacks,28 reports originating from equal-access health care delivery systems have shown equivalent survival across all races after adjusting for stage at diagnosis and treatment.29 Consequently, Underwood et al speculated that the survival disparities originate from the receipt (or lack) of definitive treatment in Blacks and Hispanics.10 Over the past decade, disparities in definitive treatment decreased significantly in Hispanics, whereas they have persisted in Blacks.30 However, there is also biological evidence that PCa in Blacks is more aggressive than in nHWs, thus providing an alternate explanation for the differences. In the current article, we investigate disparities in elderly Black vs. nHW men who have chosen to undergo RP as definitive treatment for localized PCa.
Our study carries several major findings. First, we noticed a significant gap in of RP utilization between Blacks and nHWs. As postulated by Underwood and others10,31, this shortcoming is likely responsible for an important share of disparities in PCa survival between Blacks and nHWs. Most importantly, as derived from trend analyses, our findings suggest that this gap has not significantly improved over time, which raises concerns that this problem is not being adequately addressed.
Second, we identified significant differences in the quality of care received by Blacks relative to nHWs. For example, we found that Blacks were less likely to undergo pelvic LND at the time of surgery. Although LND may be safely avoided in the context of low-risk disease, there are clear recommendations mandating a template lymphadenectomy for patients with a predicted probability of lymph node invasion above 2%,32,33 which translates into the need for LND in most patients with intermediate and high-risk disease. In adjusted analyses of these subsets of patients, the disparities persisted. However, when we accounted for regional patterns of care by adjusting for HSA, Blacks with intermediate and high-risk disease were just as likely to undergo LND. Such findings emphasize that the geographic variation in quality of care is tightly linked to racial disparities, and may thus account for a significant proportion of the differences.34 Moreover, we found a difference in the time from diagnosis to treatment between Blacks and nHWs. While the difference was clinically small (8 days, p=.001), this may be most significant in those with locally advanced disease. Indeed, O’Brien et al demonstrated, that treatment delay >6 months led to pathological upgrading, worse RP outcomes and higher rate of biochemical recurrence (BCR) in localized PCa.35 Finally, we showed that racial disparities in pre- and perioperative care persist in surgical postoperative outcomes. In our study, Blacks had higher rates of ED visits and readmissions. The differences in comorbidities may ascertain for higher postoperative health care utilization rates among Blacks, as described previously.20,31,36 However, our findings are significant as they account for measured confounders with multivariable adjustment, as well as other unmeasured confounders, given that individuals deemed ‘unfit’ for surgery were excluded. In sensitivity analyses, we could not find significant differences in surgeon caseload, experience or training between Blacks and nHWs. Therefore, the gap in perioperative outcomes could not be attributed to differences in provider characteristics.
In addition to poorer quality of care and postoperative outcomes, our study finds that the cost of care for Blacks treated with RP is higher than in nHWs. As modest projections suggest that cost for PCa care will reach 18 billion USD by the end of this decade,37 important work needs to be done to optimize and improve the value of PCa treatment paradigms. Much of the burden in increased costs has been attributed to the adoption of new technologies like robotic surgery or proton-beam therapy.38 Although access to these technologies might be improving, the data is adamant that Blacks are in fact still discriminated from such new technologies.39 Therefore, it is unlikely that such phenomenon is responsible for the increased financial burden of RP in Blacks. A careful examination of the data would suggest that the more prevalent use of RT and ADT in Blacks may be partly responsible.40 Moreover, indicators of poorer quality of care like increased rates of ED visits and readmissions in Blacks may also ascertain for the increased expenditures.
The next major finding of our study shows that, despite important constellations of poor quality of care for Blacks undergoing RP, we did not detect significant differences in overall and cancer-specific survival. This is a remarkable shift from the generally accepted paradigm of worse PCa-survival in Blacks. However, most studies supporting these claims were unable to adjust for significant predictors of survival, and were subject to many unmeasured confounders which may have affected oncological outcomes.41,42 Indeed, by excluding men who refused/were not offered surgical treatment for PCa, we are selecting a cohort of individuals of Black men who may be more directly comparable to nHWs than in previous studies, as they were deemed ‘fit’ for surgery. In those who make it to the operating table, despite poorer surgical quality of care as elucidated above, their survival rates were equivalent. To account for the relatively short follow-up (7.6 years), we performed sensitivity analyses restricting the cohort to patients diagnosed between 1992–1999 (mean follow-up 12.5 years); our findings were similar with regards to overall (p=.78) and PCa-specific mortality (p=.77), which is quite significant: even in earlier years, no significant disparity in long-term oncological outcomes were detected in this subset of patients. Finally, we examined the regional variation in mortality within our cohort. Although worse overall survival for Blacks was recorded in the South (OR 1.26, 95% CI 1.06–1.5, data not shown), no difference was found between regions with regard to PCa-specific mortality. The difference in overall mortality shown here is consistent with previous evidence,43 however the lack of regional variation with regard to PCa-specific mortality further reinforces our findings. A possible interpretation of our findings is that the biological differences in tumor aggressiveness among Blacks may have been exaggerated, and that the perceived gap in survival is a result of lack of access or cultural perceptions with regard to surgical care for PCa or other factors that differentiate who makes it to the operating table.
Despite its strengths, our study has limitations, which are inherent to retrospective, observational studies relying on SEER-Medicare. Several key unmeasured confounders are not captured in administrative claims and may cause an underestimation of the severity of comorbidities.44,45 While Blacks had less severe disease characteristics than nHWs, the exclusion of patients who refused or were not offered treatment may have introduced a bias by selecting only the healthiest Blacks for surgery. Although evidence for provider-specific screening and treatment recommendation disparities exist in PCa46,47, this issue was outside the scope of this study. However, the contingent provider-specific selection bias would lead to selection of surgical patients with favorable unmeasured disease characteristics such as tumor volume, PSA, and number of positive cores. The lack of such preoperative characteristics may impede primary and secondary treatment choices after BCR. While our analyses adjusted for all available socioeconomic confounders, unmeasured sociodemographic variables other than race may explain the observed differences between Blacks and nHWs.48,49 It is important to consider that our study comprises only traditional Medicare enrollees >65 years, thus limiting the general application of our findings. Specifically, we acknowledge that most men undergoing RP are younger and hold private insurance. Thus, our findings may not be applicable to the general population of men undergoing RP
To summarize, we provide robust evidence for the existence of a substantial difference in the quality of surgical care of PCa in Blacks. As the unfavorable quality of care did not translate into worse overall and cancer-specific survival in our sample, the commonly perceived detrimental survival in Black PCa patients may be the sequelae of barriers and selection bias in definitive treatment. The public and professional awareness needs to be raised to address these concerning issues and identify their underlying causes.
Acknowledgments
Quoc-Dien Trinh is supported by an unrestricted educational grant from the Vattikuti Urology Institute and the Professor Walter Morris-Hale Distinguished Chair in Urologic Oncology at Brigham and Women’s Hospital. Marianne Schmid is supported by the Equal Opportunity Grant for Women of the Medical University Center Hamburg-Eppendorf.
Quoc-Dien Trinh has received honoraria from Surgical Intuitive.
Firas Abdollah is a consultant/advisor for GenomeDx Biosciences
Adam Kibel serves as an advisor for Sanofi-Aventis, Dendreon, MTG and Profound
Paul Nguyen is a consultant for Medivation and GenomeDx Biosciences.
Role of the funder/sponsor: The sponsors had no role in the design and conduct of the study; collection, management, analysis, and interpretation of the data; preparation, review, or approval of the manuscript; and decision to submit the manuscript for publication.
Footnotes
Author contributions: Quoc-Dien Trinh had full access to all of the data in the study and takes full responsibility for the integrity of the data and the accuracy of the data analysis.
Quoc-Dien Trinh, Gally Reznor, Marianne Schmid and Christian P. Meyer (all Division of Urology, Center for Surgery and Public Health, Brigham and Women’s Hospital), conducted the research and are responsible for the data analysis.All authors have participated sufficiently in the work and to take public responsibility for appropriate portions of the content.
There are no other persons who have made substantial contributions to the manuscript.
Conflict of interest disclosures:
All other authors have nothing to disclose All authors confirm that all here with-reported conflict of interest disclosure information is accurate, complete, up-to-date.


