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. 2020 Aug 31;3(8):e2014674. doi: 10.1001/jamanetworkopen.2020.14674

Trends in Diagnosis and Disparities in Initial Management of High-Risk Prostate Cancer in the US

Vishesh Agrawal 1, Xiaoyue Ma 2, Jim C Hu 3, Christopher E Barbieri 3, Himanshu Nagar 1,
PMCID: PMC7489870  PMID: 32865572

Abstract

This retrospective study uses data from the National Cancer Database of new cancer diagnoses across the US to examine trends in proportional diagnosis rates and management of patients with high-risk prostate cancer.

Introduction

Evidence suggests increasing rates of high-risk prostate cancer. Treatment for high-risk prostate cancer includes prostatectomy or radiotherapy. We examine trends in proportional diagnosis rates and management of patients with high-risk prostate cancer.

Methods

The National Cancer Database (NCDB) tabulates data from more than 70% of new cancer diagnoses across the US. The NCDB was queried to identify men with high-risk prostate cancer from 2004 to 2016. Men were classified as having high-risk disease if they had clinical stage T3-T4, a prostate-specific antigen level greater than 20 ng/mL, or a Gleason score of 8-10. The eFigure in the Supplement outlines the cohort selection.

Descriptive statistics for factors were reported as frequency. The Cochran-Armitage test identified trends in treatment with time. Multivariable logistic regression examined factors associated with each treatment. All tests were 2-sided and considered significant at an α level of .05. Analyses were performed with SAS software version 9.4 (SAS Institute Inc). This study follows STROBE reporting guidelines.

Results

Overall, 214 972 men were identified as having high-risk prostate cancer from 2004 to 2016 and 75 847 underwent prostatectomy and 104 635 underwent radiotherapy. White and black men comprised 79.2% and 16.1% of the cohort, respectively. Government-based insurance was used by 59.3% of the men. Approximately 82% of the cohort had a Charlson-Deyo comorbidity index of 0.

The proportional rates of high-risk prostate cancer increased from 11.8% to 20.4% (P < .001). The proportion of men undergoing prostatectomy increased from 22.8% to 40.5% (P < .001; Figure, A). Conversely, the rates of radiotherapy decreased from 59.7% to 43.3% (P < .001). External beam radiation therapy (EBRT) with a brachytherapy boost was used in 12.6% of men undergoing radiotherapy. Consistent with data presented in part A of the Figure, the odds of undergoing prostatectomy increased from 2004 to 2013 and remained consistent through 2016 (odds ratio, 2.34 [95% CI, 2.12-2.48]; P < .001). This trend was also observed among black men (Figure, B). The multivariable analysis appears in the Table.

Figure. Trends in Prostate Cancer Treatment From 2004-2016.

Figure.

ADT indicates androgen deprivation therapy.

Table. Multivariable Logistic Regression for Association of Patient Characteristics With Radical Prostatectomy.

No. (%) of Patients Odds Ratio (95% CI) P value
Year of diagnosis
2004 13 030 (6.1) 1 [Reference]
2005 12 904 (6.0) 1.01 (0.94-1.08) .81
2006 13 864 (6.5) 1.09 (1.02-1.17) .01
2007 15 005 (7.0) 1.29 (1.21-1.37) <.001
2008 16 391 (7.6) 1.70 (1.60-1.81) <.001
2009 14 771 (6.9) 2.02 (1.89-2.15) <.001
2010 16 972 (7.9) 2.03 (1.91-2.16) <.001
2011 17 716 (8.2) 2.15 (2.03-2.29) <.001
2012 16 407 (7.6) 2.32 (2.18-2.47) <.001
2013 17 370 (8.1) 2.51 (2.36-2.67) <.001
2014 17 919 (8.3) 2.52 (2.37-2.68) <.001
2015 20 384 (9.5) 2.66 (2.50-2.82) <.001
2016 22 239 (10.4) 2.72 (2.56-2.88) <.001
Age group, y
≤50 5638 (2.6) 1 [Reference]
>50-60 41 690 (19.4) 0.54 (0.50-0.58) <.001
>60-70 87 479 (40.7) 0.33 (0.31-0.35) <.001
>70-80 63 683 (29.6) 0.08 (0.08-0.09) <.001
>80 16 482 (7.7) 0.01 (0.01-0.01) <.001
Gleason score
≤6 24 016 (11.2) 1 [Reference]
3 + 4 26 495 (12.3) 1.19 (1.13-1.24) <.001
3 + 5 8108 (3.8) 0.96 (0.89-1.03) .21
4 + 3 17 618 (8.2) 0.92 (0.88-0.97) .003
4 + 4 75 260 (35.0) 0.58 (0.56-0.61) <.001
4 + 5 45 409 (21.1) 0.64 (0.61-0.67) <.001
5 + 4 12 686 (5.9) 0.57 (0.53-0.60) <.001
5 + 5 5380 (2.5) 0.37 (0.34-0.41) <.001
Prostate-specific antigen level, ng/mL
0.1-4.0 17 694 (8.2) 1 [Reference]
4.1-<10 75 003 (34.9) 0.91 (0.87-0.95) <.001
10-≤20 36 245 (16.9) 0.60 (0.58-0.63) <.001
>20 86 030 (40.0) 0.34 (0.32-0.36) <.001
Clinical stage
T1 115 436 (53.7) 1 [Reference]
T2 70 356 (32.7) 0.81 (0.79-0.83) <.001
T3 26 847 (12.5) 0.53 (0.52-0.56) <.001
T4 2333 (1.1) 0.21 (0.18-0.24) <.001
Charlson-Deyo comorbidity index
0 175 464 (81.6) 1 [Reference]
1 31 103 (14.5) 1.63 (1.58-1.68) <.001
>1 8405 (3.9) 1.27 (1.20-1.35) <.001
Race
White 170 198 (79.2) 1 [Reference]
Black 34 667 (16.1) 0.57 (0.55-0.59) <.001
Other 10 107 (4.7) 0.96 (0.91-1.01) .14
Geographic location
New England 13 407 (6.2) 1 [Reference]
Mid Atlantic 32 135 (14.9) 1.36 (1.29-1.43) <.001
South Atlantic 45 920 (21.4) 1.13 (1.07-1.19) <.001
Central
East North 41 440 (19.3) 1.42 (1.35-1.50) <.001
East South 16 174 (7.5) 2.51 (2.36-2.67) <.001
West North 18 242 (8.5) 2.24 (2.11-2.38) <.001
West South 13 188 (6.1) 2.70 (2.53-2.88) <.001
Mountain 8466 (3.9) 2.04 (1.90-2.19) <.001
Pacific 26 000 (12.1) 1.73 (1.64-1.83) <.001
Facility type
Community 19 183 (8.9) 1 [Reference]
Academic 79 248 (36.9) 2.57 (2.45-2.69) <.001
Comprehensive 89 912 (41.8) 1.72 (1.64-1.80) <.001
Integrated 26 629 (12.4) 2.27 (2.16-2.39) <.001
Type of insurance coverage
Private 80 164 (37.3) 1 [Reference]
Medicare, Medicaid, or other government 127 452 (59.3) 0.64 (0.62-0.66) <.001
Uninsured 4148 (1.9) 0.62 (0.57-0.67) <.001
Unknown 3208 (1.5) 0.52 (0.47-0.57) <.001
Income quartile
1 (lowest) 40 791 (19.0) 1 [Reference]
2 46 970 (21.8) 1.09 (1.05-1.14) <.001
3 50 429 (23.5) 1.11 (1.07-1.16) <.001
4 76 782 (35.7) 1.12 (1.07-1.17) <.001
No high school diploma, %
<7 56 837 (26.4) 1.38 (1.32-1.44) <.001
7-12.9 61 388 (28.6) 1.19 (1.14-1.23) <.001
13-20.9 53 776 (25.0) 1.06 (1.02-1.09) .003
≥21 42 971 (20.0) 1 [Reference]
Distance, km
≤96 193 848 (90.2) 1 [Reference]
96-192 11 589 (5.4) 2.53 (2.40-2.67) <.001
>192 9535 (4.4) 2.53 (2.39-2.67) <.001
Population type
Metropolitan 177 270 (82.5) 1 [Reference]
Rural 4710 (2.2) 0.81 (0.75-0.88) <.001
Urban 32 992 (15.3) 0.90 (0.87-0.94) <.001

Discussion

Prostatectomy rates increased from 22.8% in 2004 to 40.5% in 2016, nearly equaling radiotherapy rates by 2016. Randomized data comparing modalities do not and likely will not exist in the foreseeable future to determine optimal treatment. The ProtecT trial compared prostatectomy vs radiotherapy and showed no difference in prostate-cancer specific mortality, but did not include a significant number of patients with high-risk prostate cancer.1 The Prostate Advances in Comparative Evidence trial (NCT01584258) compares prostatectomy vs radiotherapy, but only includes patients with low-risk and intermediate-risk cancer.

Population-based and institutional studies report conflicting results. Boorjian et al2 showed improved all-cause mortality with prostatectomy compared with EBRT. Kishan et al3 reported improved prostate-cancer specific mortality among men with Gleason score 9-10 treated with EBRT and a brachytherapy boost vs EBRT or prostatectomy; there was no difference between EBRT and prostatectomy. Our study showed limited use of the brachytherapy boost in patients with high-risk disease.

The increase in prostatectomies may reflect increasing acceptance of population-based data suggesting superiority of prostatectomy.2 The increasing use of robotic approaches suggests urologists and patients may regard prostatectomies safer than previous techniques. Conversely, a decrease in radiotherapy may reflect reluctance toward recommended androgen deprivation therapy with radiotherapy.

Demographic and socioeconomic factors were associated with treatment selection for patients with high-risk prostate cancer. Black men were less likely than white men to undergo prostatectomy, which is consistent with previous studies, but our findings suggest this gap has improved over time.4 Men with private insurance were more likely to undergo prostatectomy. Higher income, private insurance, and treatment at an academic facility were found to be associated with use of robotic prostatectomy.5 Thus, the differential use of prostatectomy may reflect limited access to high-volume centers and disproportionate reimbursement for robotic techniques.

Men may prefer prostatectomy given the treatment burden of radiotherapy, which may change with shortened schedules.6 Prostatectomy rates have doubled since 2004 without guideline evidence suggesting its superiority. Trials are needed to guide optimal care. The findings of this study are limited by its retrospective nature.

Supplement.

eFigure. Flow Diagram of Patients Included for Analysis

References

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Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Supplement.

eFigure. Flow Diagram of Patients Included for Analysis


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