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radiotherapy when compared to surgery had significantly

higher risk of PCa-specific mortality. Thus, while clinically

meaningful, BCR should not be used to compare the

oncologic efficacy of PCa treatments, and this review

focuses on survival outcomes.

3.1.1.

Randomized survival data

Radical prostatectomy was the only treatment shown in a

randomized controlled trial to improve overall and cancer-

specific survival for patients with localized PCa when

compared to watchful waiting

[14] .

In the Scandinavian

Prostate Cancer Group Trial #4 (SPCG-4), Bill-Axelson et al

[14]

randomized 695 men with early clinically detected PCa

to radical prostatectomy or watchful waiting. In addition to

a survival benefit, surgery reduced the risk of metastasis

[14]

. These benefits were not confirmed in a similar study

(Prostate Cancer Intervention versus Observation Trial,

PIVOT)

[15] ,

although this study was limited by the

inclusion of proportionallymoremenwith low-risk disease

and more men with significant comorbidities and shorter

follow-up (median 10 yr). In the SPCG-4 trial, the benefit of

surgery has continued to increase as ongoing follow-up has

accrued.

Two older randomized trials compared survival out-

comes following radical prostatectomy and radiotherapy.

The first was conducted by the Uro-Oncology research

group in the era before prostate-specific antigen (PSA)

screening and the second by the Japanese Study Group for

Locally Advanced Prostate Cancer more recently

[16]

. Both

demonstrated improved outcomes in surgically treated

patients; however, owing to methodologic limitations

(including insufficient follow-up) and the evolution of

medical practice (including stage migration due to the

introduction of PSA screening), neither of these studies has

influenced current clinical practice.

Recently, the ProtecT trial reported survival outcomes

among 1643 patients randomized to active monitoring,

radical prostatectomy, and radiotherapy

[17]

. The investi-

gators found no significant difference in their primary

outcome of PCa-specific mortality (

p

= 0.48), with eight

attributable deaths in the monitoring group, five in the

surgery group, and four in the radiotherapy group

[17]

. Overall mortality rates were also comparable

(

p

= 0.87). Limitations in applying these data to clinical

practice have previously been reported

[18,19]

. Most

notably, there is a lack of statistical power, a fact recognized

years before manuscript publication

[20]

, because of

significant overestimation of predicted mortality rates at

the time of the study design. In addition, there is over-

representation of patients with low-risk disease among the

study cohort

[20]

. Because of these limitations, it is unlikely

that meaningful comparisons of mortality for patients

treated with surgery and radiotherapy will ever be made

from this cohort. Nonetheless, ProtecT identified a signifi-

cant reduction in both clinical progression and metastatic

disease among men receiving definitive therapy.

Among 89 patients with localized or locally advanced PCa

randomized to surgery or radiotherapy (external-

beam radiotherapy [EBRT] + brachytherapy boost + ADT),

Lennernas et al

[21]

recently reported no difference in

overall or cancer-specific mortality, although the authors

correctly concluded that they were underpowered to assess

survival outcomes.

3.1.2.

Observational survival data

Considering the limitations among available randomized

trials, a recent meta-analysis of observational studies

compared overall and PCa-specific mortality for patients

treated with surgery and radiotherapy

[22]

. Utilizing pooled

results for 95 791 patients for the outcome of overall

mortality and 118 830 patients for PCa-specific mortality,

patients treated with radiotherapy had a significantly

higher risk of death (overall mortality, hazard ratio [HR]

1.63, 95% confidence interval [CI] 1.54–1.73; PCa-specific

mortality, HR 2.08, 95% CI 1.76–2.47). These findings were

robust to subgroup and sensitivity analyses, including PCa

risk categorization, study accrual period, radiotherapy

modality (EBRT or brachytherapy), duration of follow-up,

and geographic region of study

[22]

. It is notable that a

survival benefit was found even among patients with low-

risk disease, probably reflecting a combination of the Will

Rogers phenomenon

[23]

and residual confounding.

While observational data cannot account for unmea-

sured confounding in the manner of a randomized

controlled trial, as others have highlighted

[24,25]

, the

studies included were deemed at low to moderate risk of

bias using the Newcastle-Ottawa Scale, a validated measure

recommended by the Cochrane Collaborative to evaluate

observational studies

[26]

. By contrast, another meta-

analysis that downplayed differences in survival between

surgery and radiotherapy

[25]

did not use a validated

measure for bias assessment. Initially, the authors

attempted to use the GRADE criteria

[27] .

Rather than

relying on this validated measure, they subsequently

constructed a subjective reliability scale based on their

‘‘perceptions about the relative importance of each factor’’

[25]

. The authors deemed single-institution studies to be of

higher ‘‘reliability’’ than multi-institutional reports, and

penalized studies reporting on populations

>

12 000 patients,

even though these studies have greater external validity.

Despite this, the authors demonstrated that radical prosta-

tectomy was associated with improved overall and cancer-

specific survival compared to radiotherapy.

There are many ways to account for selection biases,

principally confounding by indication, in observational

studies including regression techniques, propensity score

approaches (including matching and weighting), and

instrumental variable techniques. Many of the studies in

the meta-analysis included all identifiably relevant patient

and tumor characteristics in regression or propensity score–

matched analyses

[22] .

While these approaches account for

observed confounders, instrumental variable analyses may

also account for unmeasured confounding. Using such an

approach for patients with predicted life expectancy of 10

yr, Sun et al

[28]

found improved survival among those

treated with surgery compared to radiotherapy (HR 0.66,

95% CI 0.56–0.79). While it has been shown that instru-

mental variable analyses provide less biased estimates of

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