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1.

Introduction

Prostate cancer (PCa) screening reduces advanced disease

and PCa-specific death

[1,2]

, but also leads to

overdiagno-

sis

and overtreatment of indolent tumors

[3,4]

. Conserva-

tive management is increasingly utilized for favorable-risk

PCa to delay or avoid aggressive treatment and potential

side effects

[5] .

Prior comparative-effectiveness models

have confirmed that this is a valid strategy for certain

patients

[6 8]

, with improved quality of life (QOL) and

reduced initial resource utilization

[9]

.

Despite agreement on the importance of conservative

management to preserve screening benefits and reduce

overtreatment

[10]

, there is no consensus what to do next

[11,12] .

Conservative management encompasses two very

different strategies:

watchful waiting

(WW) without

curative intent and

active surveillance

(AS) with serial

testing for

disease progression

to offer selective delayed

treatment with curative intent. No randomized trials have

compared benefits and harms between WW and contem-

porary AS. Furthermore, for patients choosing AS, there is no

consensus on the type, frequency, or sequence of follow-up

tests to monitor for disease progression

[11]

. Thus, the

objective of this clinical decision analysis is to compare life

expectancy and quality-adjusted life expectancy between

WW and different AS protocols for US men 50 yr.

2.

Patients and methods

We developed a state-transition Markov model to compare different

strategies of conservative management for a cohort of US men diagnosed

with clinically localized PCa who chose conservative management.

Markov models represent a hypothetical cohort moving among pre-

de

fi

ned health states that are mutually exclusive and collectively

exhaustive

[13]

. Our model starts when the patient is diagnosed with

PCa and begins conservative management. We used this model to

evaluate two different outcomes: life years (LYs) and quality-adjusted life

years (QALYs), which put quality and quantity of life into the same metric

by multiplying the predicted duration of each health state by the utility

(QOL weight) for living in that state. The model was analyzed and reported

according to ISPOR/SMDM international recommendations

[13]

.

The base case analyses compare WW (follow without further testing

until the development of advanced PCa or death from other causes) with

AS with prostate-speci

fi

c antigen (PSA) every 6 mo and yearly biopsy

(based on the Johns Hopkins AS protocol

[14]

). We also examined an AS

strategy with more frequent PSAs (quarterly) with biopsies at years 1, 3,

7, and 10, and then every 5 yr, similar to Prostate Cancer Research

International Active Surveillance (PRIAS)

[15] ,

and an exploratory

strategy including PSA every 6 mo and magnetic resonance imaging

(MRI) yearly where biopsy is performed only if MRI is abnormal. Finally,

we evaluated an exploratory strategy with PSA every 6 mo and biopsy

every 5 yr. For all strategies, biopsies were discontinued at age 75 yr in

the main analysis, as in the Johns Hopkins program

[14] .

We used a state-transition cohort model to obtain estimates for

speci

fi

c populations of interest determined a priori, based on clinical

features. For the main analysis, the cohort started at age 50 yr, and the

model was rerun for cohorts starting at age 40, 65, 70, and 75 yr.

Figure 1

shows a schematic of the model. At the start, men have been diagnosed

with PCa and they have chosen conservative management. Some were

classi

fi

ed accurately with Gleason 6 (grade group 1), while others were

misclassi

fi

ed and have undetected higher-grade disease. During each

model cycle, individuals can remain on conservative management,

undergo treatment for reclassi

fi

cation (then into a post-treatment state),

develop metastases, or die. We used a cycle length of 1 mo and a lifelong

time horizon due to the long natural history of PCa. Depending on the

approach to conservative management, some cycles may include

rebiopsy. Overall mortality data were obtained from US life tables, with

a priori adjustment by a multiplier of 0.45 to account for the highly

selected healthier population affected by localized PCa

[14] .

Our model

considered the following potential harms: biopsy complications, short-

and long-term complications of PCa treatment (aggregate measure

including sexual, urinary, and bowel dysfunction), and development of

metastasis. Since our objective was to examine ef

fi

cacy, we assumed

100% compliance with protocol-recommended biopsies and that all men

found to have disease reclassi

fi

cation (increases in tumor grade)

underwent treatment.

Table 1

shows the model inputs (see Supplementary material for

details). Transition probabilities between states were estimated from the

literature. Previously published

utilities

(ie, QOL weights re

fl

ecting

quantitative health preferences) were used to quantify QOL implications

for each disease state

[16] .

One- and two-way deterministic sensitivity analyses were performed to

assess the implications of uncertainty for key variables. Tornado diagrams

were used to summarize results of one-way sensitivity analysis. Since

previous studies showed an impact of time preference on PCa treatment

selection, we also performed sensitivity analysis using discounting (ie,

assigning lower weights to future events)

[17] .

We also estimated the risk of

radical treatment, metastasis, and PCa death. Model validation was

performed based on ISPOR

SMDM recommendations and comprised the

following: (1) expert consensus on face validity of model inputs, structure,

and results; (2) veri

fi

cation through extensive sensitivity and extreme value

analysis; (3) cross validation to previous models; and (4) blinded external

validation to partially dependent and independent published studies with

>

5 yr follow-up

[18]

. All analyses were performed using TreeAge Pro version

2014 (TreeAge Software, Inc., Williamstown, MA, USA).

3.

Results

3.1.

Main base case analysis

Table 2

shows the base case results of the decision analysis.

In a cohort of men starting at age 50 with low-risk PCa

undergoing conservative management, AS using the Johns

Hopkins strategy yielded more LYs compared with WW

(35.21 vs 34.55 LYs, or a difference of 0.66 life-years;

Table 2

). Lifetime risks of PCa death and metastasis were,

respectively, 5.42% and 6.40% with AS versus 8.72% and

10.30% with WW. Men on AS had a 50% lifetime risk of

undergoing radical treatment.

Using the outcome of quality-adjusted life expectancy,

AS yielded more QALYs (33.89) than WW (33.36 QALYs, an

expected difference of 0.53 life-years).

For a cohort starting at age 40 yr

( Table 2

), AS yielded

more LYs and QALYs compared with WW. By contrast,

among men aged 65 yr, WW had more QALYs than AS

( Table 2 )

. Supplementary

Table 1

shows LYs and QALYs for

men with very low

risk PCa.

3.2.

Alternative AS protocols

In men aged 50 yr, using PRIAS, MRI-based, and 5-yr

biopsy strategies yielded 35.12, 35.20, and 34.99 LYs,

respectively. Lifetime risks of PCa death and metastasis

E U R O P E A N U R O L O GY 7 2 ( 2 0 17 ) 8 9 9

9 0 7

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