Table of Contents Table of Contents
Previous Page  309 320 Next Page
Information
Show Menu
Previous Page 309 320 Next Page
Page Background

included time since treatment, treatment type, race/ethnicity, and all

their interactions as independent variables. In these unadjusted models,

responses included all of each patient’s scores over time within a

particular domain, including the baseline score. Time since beginning

treatment (time since baseline survey for AS patients) was modeled as a

continuous variable. The relationship between time and mean function

was modeled as a restricted cubic spline, permitting nonlinearity. We

used generalized estimating equations (GEEs) with an independence

working covariance matrix to calculate standard errors for the regression

coefficients.

2.4.

Adjusted comparisons

To identify racial/ethnic differences in the effect of treatment on

functional outcomes at 1 yr after treatment, we fitted a second set of

longitudinal models with interactions between race/ethnicity and

treatment type and between time since treatment and race, adjusting

for the following baseline factors: time since beginning treatment,

pretreatment function, patient age, comorbidity tumor characteristics

(PSA corrected for 5-

a

reductase inhibitor use, Gleason score [ 6, 3 + 4,

4 + 3, or 8], and T stage [T1 or T2]), psychosocial measures (educational

attainment, insurance type, employment type, marital status, Short-

Form 36 physical function score, social support, CES-D score, and

participatory decision-making index), receipt of hormone therapy, and

study site. Adjusted models were fitted using the same approach as for

the unadjusted models (GEE), but here the baseline score was used as a

covariate rather than one of the responses. Treatment effects are

characterized by differences in function score at 1 yr after treatment

between treatment groups, and racial differences in treatment effects

were characterized by the difference between races in these treatment

effects. Thus, our estimate of interest is a difference in differences (DID)

accompanied by a 95% confidence interval (CI). In a sensitivity analysis,

we used propensity score regression adjustment as an alternative means

of accounting for systematic pretreatment differences between patients

receiving different treatments. We used a multinomial logistic regres-

sion model to estimate the log odds of receiving each of the three

treatments. The fitted values from this model were then included in a

second version of our main analysis model.

Some regression coefficients had missing values; the most often

missing

[6_TD$DIFF]

variable contained 5% missing. These values were first imputed

using multiple imputation via predictive mean matching to avoid

casewise deletion of patient records missing any model covariates

[15]

. Fifteen cycles of updating imputations were performed to create

one final data set used to fit the analysis models. Because AA men were

more likely to undergo open RP than robotic RP (and similarly were less

likely to receive a nerve-sparing operation and intensity-modulated

radiation therapy [IMRT]), we performed a second sensitivity analysis

to assess the impact of treatment technique on the results by excluding

men who did not have a robotic nerve-sparing operation and those

who did not receive IMRT. All analyses were conducted using R version

3.2.2

[16] .

3.

Results

Among the 2338 CEASAR participants in the analytic cohort,

1835 (79%) were white, 324 (14%) were AA, and 179 (8%)

were Hispanic.

Table 1

presents the distributions of selected

demographic, socioeconomic, and clinical characteristics by

race/ethnicity. In general, white men had a higher level of

educational attainment and were more likely to be married

when compared to AA and Hispanic men. Hispanic and AA

men were more likely to be uninsured or insured by

Medicaid and were more likely to have income of less than

$30 000 per year. AA men were more likely to harbor high-

risk disease according to the D’Amico criteria, and were

more likely to undergo open rather than robotic RP.

Baseline function also varied significantly by race and

ethnicity

( Table 2 )

. AA and Hispanic men reported lower

EPIC domain scores for sexual function at baseline in

comparison to white men, and Hispanic patients reported

lower scores for urinary irritative symptoms and the

urinary incontinence domain. No clinically significant

differences were noted in the baseline domain scores for

bowel function.

3.1.

Urinary incontinence

Overall, RP was associated with lower adjusted mean scores

for urinary incontinence when compared to AS and EBRT at

1 yr after therapy. The adjusted mean score for urinary

incontinence at 1 yr was 19.9 points (95% CI 17.2–22.7;

p

<

0.001) lower for RP compared to AS and 21.9 points (95%

CI 19.2–24.6;

p

<

0.001) points lower compared to EBRT.

While this association between RP and incontinence was

observed across all race/ethnic groups, the decline was

greater for AA than for white men (adjusted DID 8.4 points,

95% CI 2.0–14.8;

p

= 0.01;

Table 3

). Despite this result,

baseline function and primary treatment appeared to be far

more important in predicting post-treatment urinary

incontinence than race/ethnicity

( Fig. 1 )

.

Because AA men reported a greater decline in urinary

incontinence function after RP compared to white men, we

tested whether AA men had greater odds of reporting

moderate or severe bother secondary to overall urinary

function compared to white men after RP (Supplementary

Table 2). Notably, there were no apparent between-race

differences in the odds of moderate or severe bother by

overall urinary function, despite lower scores for the

continuous domain (

p

= 0.15).

3.2.

Sexual, bowel, urinary irritative, and hormone function

There was no evidence of any clinically significant

differences by race/ethnicity in the effects of treatment

on EPIC scores for sexual, bowel, or hormone function

( Table 3

) or for bother scores in these domains (Supple-

mentary Table 2). The average difference in effect of RP on

urinary irritative symptoms between white and AA men

was 4.4 (95% CI 0.8–8.0;

p

= 0.02;

Table 3

).

3.3.

Sensitivity analyses

Because there was evidence of differential adoption of

modern treatment modalities among minority populations,

we performed a sensitivity analysis excluding patients who

did not undergo a robotic nerve-sparing operation and

those who did not receive IMRT. The results of this analysis

were similar to our main analysis with respect to racial

differences in treatment effects. There was, however, an

even greater decline in the post-RP incontinence domain

among AA compared to white men (DID 14.1 points, 95% CI

5.4–22.9;

p

= 0.002).

E U R O P E A N U R O L O G Y 7 2 ( 2 0 1 7 ) 3 0 7 – 3 1 4

309