Is prostate cancer screening
cost-effective?
Cantor SB, Spann SJ, Volk RJ, Cardenas MP,
Warren MM. Prostate cancer screening: a decision analysis. J Fam
Pract; June, 1995.
Reviewed by
John Hickner, M.D., M.S.
Clinical question
Is screening men age 50 and over for prostate cancer with digital
rectal examination (DRE), transrectal ultrasound (TRUS) and
prostate specific antigen (PSA) beneficial?
Background
Screening asymptomatic men for prostate cancer is controversial.
Screening advocates cite better survival rates in men with early
stage prostate cancer, and doubters point to the lack of either
convincing epidemiological data or a controlled trial showing
improvement in morbidity or mortality. A definitive controlled
trial will take years to complete, and may never be done. In the
face of imperfect information, decision analysis is a
quantitative analytic method used to determine the optimal
clinical strategy. In this review I will use the critique format
proposed by Evidence-Based Medicine Working Group to evaluate
this prostate cancer screening decision analysis. (1)
Population studied
The decision process is modeled using probabilities of health
states and outcomes gleaned from existing scientific literature,
combined with the quality of life associated with each outcome on
a scale from 0 to 1 (called utilities).
Study design and validity
Were all important strategies and outcomes included? No. The
authors confine their model to a single screening strategy;
digital rectal exam and PSA, followed by biopsy for a suspicious
nodule or positive PSA (10 ng/ml or greater). If the DRE is
negative and the PSA is indeterminate (4 to 10 ng/ml) transrectal
ultrasound and the predicted PSA (PSA level divided by estimated
prostate volume, or PSA density) would be performed to determine
if a biopsy would be indicated. This analysis is superior to
previous analyses in that a yearly screening strategy is
examined. However, a newer screening strategy based on yearly
rate of change of age-specific PSA, called PSA velocity, is not
included.Was an explicit and sensible process used to identify,
select, and combine the evidence into probabilities? Yes.
Extensive documentation of probabilities of disease states and
outcomes are given. A strength of this analysis was the use of
prostate cancer prevalence of clinically detectable lesions,
rather than detection of microscopic disease which probably is of
little biologic consequence. Five-year survival rates for treated
prostate cancer are based on National Cancer Institute data from
1973-86, so these estimates may not be accurate for 1995. Were
the utilities obtained in an explicit and sensible way from
credible sources? Yes. Ten male patients in their 50's free of
prostate disease and their spouses were interviewed using a
time-trade-off method to determine quality-adjusted life years
for living with the complications of treatment - incontinence,
impotence, urethral stricture, rectal injury and gynecomastia. A
previous prostate cancer screening decision analysis has been
criticized for using physicians' preferences to determine
utilities. (4) Using patients is an improvement, but 10 is still
a small number, and men in their 60's and 70's were not included.
Was the potential impact of any uncertainty in the evidence
determined? Yes. Sensitivity analyses were performed to determine
if varying the probability and utility parameters in the model
affected the preferred strategy.
Outcomes measured
The primary outcome was the cost per quality adjusted life-year.
Results
In the baseline analysis, does one strategy result in a
clinically important gain for patients? If not, is the result a
toss-up? The preferred strategy favored no screening by a slim
margin -- about 6 quality adjusted months. When adverse outcomes
of treatment were ignored, screening was the favored strategy,
yielding an advantage of 6 unadjusted months. This sounds like a
toss-up to me, though clearly patient preference plays a role.
Varying the probabilities of disease states and outcomes in the
sensitivity analyses did not change the preferred strategy. How
strong is the evidence used in the analysis? In general, the
analysis is based on fairly good data. The sensitivities and
specificities of PSA, DRE, TRUS and biopsy are estimated from
published studies, but PSA and TRUS are relatively new tests, and
their performance characteristics in population-based screening
are not well-established. Outcomes of surgical, radiation, and
hormonal treatment of prostate have been described, but, as noted
above, current 5-year survival rates may be better than those
used in the analysis. Could the uncertainty in the evidence
change the result? Yes. If survival is much improved and
complication rates decreased by newer methods of treatment,
screening might gain a significant advantage. If a new prostate
cancer screening test with higher sensitivity and specificity for
aggressive prostate cancer is developed, screening may be
beneficial. For example, PSA velocity may be superior to the
tested strategy.
Recommendations for clinical practice
Will the results help me in caring for my patients? Yes. Despite
the current popularity and promotion of PSA screening for
prostate cancer, this is the third decision analysis published in
the past 3 years showing no clear benefit of screening. (2,3)
This analysis confirms my belief that mass prostate cancer
screening is not appropriate at this time. Screening (or not!)
for prostate cancer should take place only within a
doctor-patient relationship where a thorough discussion of the
risks and benefits of screening and exploration of patients'
preferences can occur. Primum, non nocere.
References
1. Richardson WS, Detsky AS. Users' guides to the medical
literature, VII. How to use a clinical decision analysis; Are the
results of the study valid? JAMA. 1995;273:1292-5.2. Krahn MD,
Mahoney JE, Eckman MH, Trachtenberg J, Pauker SG, Detsky AS.
Screening for prostate cancer, A decision analytic view. JAMA
1994;272:773-80.3. Mold JW. Holtgrave DR, Bisonni RS, et al. The
evaluation and treatment of men with asymptomatic prostate
nodules in primary care: a decision analysis. J Fam Pract
1992;34:561-8.
copyright 1997, Appleton and Lange