Skip to main content
. Author manuscript; available in PMC: 2015 Aug 1.
Published in final edited form as: Cancer Causes Control. 2014 May 31;25(8):1029–1035. doi: 10.1007/s10552-014-0402-6

Table 3.

Crude and adjusted models of Black race as an independent predictor of cancer grade on initial biopsy at the DVAMC, 2001–2009 with complete data for all variables (n = 887)

Cancer outcome: low grade (< 7) Model 1: adjusted
Model 2: unadjusted
RRR 95 % CI p RRR 95 % CI p
Black racea 1.29 0.92–1.80 0.14 1.35 0.98–1.87 0.06
Age (years) 0.99 0.97–1.01 0.26
BMI (kg/m2), relative to < 25 kg/m2 0.02#
 25–29.99 0.58 0.38–0.90
 30–34.99 0.63 0.40–1.01
 ≥35 0.62 0.34–1.12
Total number of cores taken 0.92 0.86–0.99 0.02
Abnormal DRE 1.45 0.97–2.16 0.07
PSA (ng/ml) 1.37 1.04–1.80 0.02
Cancer outcome: high grade ( ≥ 7) Model 1: adjusted
Model 2: unadjusted
RRR 95 % CI p RRR 95 % CI p
Black racea 1.84 1.28–2.66 0.001 1.82 1.32–2.50 < 0.001
Age (years) 1.01 0.99–1.04 0.30
BMI (kg/m2), relative to < 25 kg/m2
 25–29.99 0.55 0.34–0.86 0.02#
 30–34.99 0.53 0.32–0.88
 ≥35 0.77 0.42–1.41
Total number of cores taken 0.97 0.90–1.05 0.52
Abnormal DRE 3.41 2.29–5.07 < 0.001
PSA (ng/ml) 2.91 2.21–3.83 < 0.001

Statistical analysis: multinomial logistic regression for cancer grade on biopsy

Models adjusted for age, log-PSA, BMI, DRE, and total number of cores taken

RRR relative risk ratio for no cancer versus low grade versus high grade, CI confidence interval, p p value

#

Likelihood ratio test

a

Reference group was white race