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Page Background

institution and examined the significance of change in risk

status from diagnosis as a predictor of adverse pathology

among those receiving surgical treatment. In multivariable

models composed of men ultimately treated with RP, the

magnitude of risk change (CAPRA) from baseline was

significantly associated with high-grade and/or non–organ-

confined disease. Notable limitations of this analysis

include noncontrolled decisions to pursue definitive treat-

ment and the use of multiple genitourinary pathologists,

reflecting the longitudinal nature of the surveillance cohort

.

To our knowledge, no other multivariable risk prediction

tool has similarly been evaluated following a period of

surveillance and suggests that risk stratification may be

valuable following repeated clinical assessments. Such an

approach may be meaningful for men experiencing

reclassification of Gleason grade or PSA status alone and

in whom clinical risk assessment may offer more compre-

hensive insight into an individual’s broader status. These

findings indicate that gradations of change in clinical risk

occur over time and suggest that the magnitude of risk

change, rather than unifactorial reclassification thresholds,

may better inform triggers for intervention during AS.

Author contributions:

Michael S. Leapman had full access to all the data

in the study and takes responsibility for the integrity of the data and the

accuracy of the data analysis.

Study concept and design:

Leapman, Ameli, Shinohara, Cooperberg,

Carroll.

Acquisition of data:

Leapman, Ameli.

Analysis and interpretation of data:

Leapman, Chu, Hussein.

Drafting of the manuscript:

Leapman, Cooperberg, Carroll.

Critical revision of the manuscript for important intellectual content:

Leapman, Cooperberg, Carroll.

Statistical analysis:

Ameli, Cooperberg.

Obtaining funding:

Carroll.

Administrative, technical, or material support:

Carroll.

Supervision:

Carroll, Cooperberg.

Other (specify):

None.

Financial disclosures:

Michael S. Leapman certifies that all conflicts of

interest, including specific financial interests and relationships and

affiliations relevant to the subject matter or materials discussed in the

manuscript (eg, employment/affiliation, grants or funding, consultan-

cies, honoraria, stock ownership or options, expert testimony, royalties,

or patents filed, received, or pending), are the following: None.

Funding/Support and role of the sponsor:

This work is supported by the

US Department of Defense Prostate Cancer Research Program

(W81XWH-13-2-0074 and W81XWH-11-1-0489) and the Goldberg –

Benioff Program in Translational Cancer Biology.

Acknowledgments:

This research was presented at the 2015 American

Urological Association National Meeting in New Orleans, LA.

Appendix A. Supplementary data

Supplementary data associated with this article can be

found, in the online version, at

http://dx.doi.org/10.1016/j. eururo.2016.04.021

.

[(Fig._1)TD$FIG]

33.3%

Gleason 13.2%

9% Gleason

and %

Pos

5.7%

%Pos 3.9%

11.4% Gleason

and PSA

2.2% %Pos and PSA

PSA 21.2%

0

50

100

150

200

250

300

No change in any

parameters

Change in 3 parameters

Change in 2 parameters

Change in 1 parameter

Fig. 1 – Relative frequency of variables reclassified over time among men on active surveillance.

%Pos = percentage of positive biopsy cores; PSA = prostate-specific antigen.

E U R O P E A N U R O L O G Y 7 2 ( 2 0 1 7 ) 3 2 9 – 3 3 2

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