Based on the trial evidence available to date,1 routine PSA screening for asymptomatic men is not recommended in Australia;2 however, access to PSA testing is available and publically subsidised in Australia through the Medicare Benefits Schedule. The Royal Australian College of General Practitioners (RACGP) recommends that general practitioners assist men seeking PSA screening to reach informed decisions by weighing the potential benefits of screening against the inconvenience and harms of biopsies resulting from false-positive PSA test results, as well as the side effects of unnecessary surgery and/or radiotherapy for indolent cancers that currently cannot be reliably distinguished from those of a more aggressive nature.2
While debate continues about the interpretation of existing trial data in decisions about the PSA screening of asymptomatic men in general, there is a recognition that the trade-off between the potential benefits, harms and financial costs associated with PSA screening may theoretically be more favourable for a subgroup of asymptomatic men who are at elevated risk of prostate cancer.3-5 One reason for this is that the positive predictive value (PPV) of a test is greater in high-risk populations, because PPV is a function of not only the test’s sensitivity and specificity but also of the prevalence of the condition of interest in the population tested. Another reason is that the absolute benefit of an effective intervention tends to be greater for high-risk patients.6
No randomised controlled trials (RCTs) have been completed in asymptomatic high-risk men to inform the size of the possible benefits and harms of PSA screening. Observational studies of screening in higher risk groups have not provided definitive evidence about these trade-offs.5 Statistical modelling techniques have been used to provide valuable insights about the likely impact of PSA screening on quality of life (QOL) and cost-effectiveness;7,8 however, few studies have examined the trade-off between benefits and harms for high-risk populations.3,4 Recently updated outcome data from the largest of the PSA screening trials provide an opportunity to improve our understanding of this trade-off as a function of baseline risk through statistical modelling.9
An improved estimate of the potential net clinical impact and cost of using PSA screening in populations with varying levels of risk is particularly relevant given the discovery of molecular markers that may help classify prostate cancer risk. Risk assessment tools that include these markers appear capable of identifying men with a two to five times increased risk compared with the average.10-12 PSA screening in the subgroup of asymptomatic men at very high risk (ie, five times above the average) and those at high risk (two times above the average) may confer an appreciable net benefit in terms of quality-adjusted survival time and be cost-effective.
A Markov process employing a 1-year cycle length was constructed to model the policy of PSA screening every 4 years against the policy of no PSA screening (Box 1). The transition probabilities used in the model are summarised in Box 2, together with the ranges applied in the sensitivity analyses.
The model made a distinction between prostate cancers that were detected by screening tests (screen-detected) and those that were not detected by screening tests (non-screen-detected). The results of the European Randomized Study of Screening for Prostate Cancer (ERSPC) trial were used to estimate the incidence of both types of prostate cancer.9 Incidence rates were age-adjusted based on Australian age-specific incidence figures. We assumed a PSA test sensitivity of 44% and specificity of 92% at a 4 ng/mL cut-point on the basis of previous estimates.13
Initial estimates of the prostate cancer mortality rate given screen-detected cancer, and the corresponding rate given non-screen-detected cancer, were informed by examining the risk profile of patients in the ERSPC trial in light of published prognostic models for localised prostate cancer.14,15 Initial estimates were refined by calibrating the model against the results of the ERSPC trial. The 10-year prostate cancer mortality probability was consequently estimated to be 16% for men with non-screen-detected cancer, and the relative risk of prostate cancer mortality for men with screen-detected prostate cancer was 0.87. Age-specific non-prostate cancer mortality rates were calculated from Australian population statistics.
Each health state was assigned an estimate of the resources required to provide appropriate health care. These costs were estimated from the perspective of the Australian health care system and included the direct health care costs associated with the natural history of prostate cancer. Box 3 summarises costs included in the model, along with the ranges that were applied in the sensitivity analyses.
The net effectiveness of each strategy (PSA screening versus no PSA screening) was quantified in terms of quality-adjusted life-years (QALYs). The average QALYs were calculated by weighting the time spent in each health state by the health-related QOL value (utility) associated with that state, where 0 = death and 1 = full health. We assumed that the effect of prostate cancer (and its treatment) on QOL was equivalent to a decrement of 0.05 in utility averaged over the entire survival period, with a plausible range of 0.00 to 0.10. This range for the decrement in utility was chosen on the basis of evidence from longitudinal evaluations of QOL in prostate cancer.16 We further assumed that QOL during the 12 months before death from prostate cancer was associated with an additional 0.50 reduction in health state utility.17
For men with an average risk, PSA screening led to an additional 2.7 quality-adjusted life-days (14.3 undiscounted) at an additional cost of $1263, giving an incremental cost-effectiveness ratio (ICER) of $168 611 per QALY gained. For the high-risk cohort, PSA screening led to an additional 8.3 quality-adjusted life-days (43.0 undiscounted) at an additional cost of $1671, giving an ICER of $73 452 per QALY gained. For the very high-risk cohort, PSA screening led to an additional 32.9 quality-adjusted life-days (161.2 undiscounted) at an additional cost of $2067, giving an ICER of $22 938 per QALY gained (see Box 4 for detail on the cumulative event rates).
PSA screening was associated with a net gain in QALYs under many, but not all, of the plausible scenarios run in the sensitivity analyses (Box 5). A threshold for effectiveness, beyond which screening was detrimental (ie, leading to a reduction in QALYs), was found in the following scenarios:
when the utility of prostate cancer (diagnosis and treatment) was set to less than 0.93 for the average-risk cohort, and less than 0.91 for the high-risk cohort;
for all risk cohorts when the annual reference rate of non-screen-detected prostate cancer given no screening was less than approximately 0.5%;
for average- and high-risk cohorts when the annual reference rate of asymptomatic (screen-detectable) prostate cancer was greater than approximately 0.7%; and
for the average-risk cohort when the annual rate of annual rate of death from prostate cancer given non-screen-detected prostate cancer was less than 1.14%.
Our findings have direct implications for the strategy of providing personalised risk information to the subset of men who are actively seeking PSA screening.2 Assessing patient family history to identify men at 2- to 3.5-fold increased risk of prostate cancer can be used to identify a group of men for whom PSA screening will provide a greater net clinical benefit;22 however, our findings suggest that these benefits are not large enough to produce a favourable cost-effectiveness ratio.
The use of molecular markers to identify patients at very high risk for more targeted screening is promising. However, critical factors include the prevalence of very high risk markers, the cost of risk assessment and the potential for cost offsets if men identified at average risk are less likely to favour screening. Only a relatively small proportion of the population of 50-year-old men is likely to be identifiable at very high risk (ie, ≥ five times the average risk), based on recent studies. The prevalence of high-risk mutations in the BRCA1 and BRCA2 genes, for example, has been estimated to be only around 0.5% in the general population.23 According to a five-single-nucleotide polymorphisms (SNPs) prostate cancer risk factor model,11 only 0.3% of men in the control group fell into the very high-risk category (ie, ≥ five times the average risk), while in a 25-SNP model, not even those at the upper 99th percentile of SNP profile distribution reached this level.12
Our analysis uses the most recent evidence from randomised trials of PSA screening to provide a better understanding of the potential impacts on survival, QOL and costs of PSA screening as a function of personal risk. The results of our study are limited by the rigour of the available evidence from randomised trials and do not obviate the need for longer-term randomised trials in higher risk men,24 or for data from ongoing observational studies such as IMPACT (Identification of Men with a Genetic Predisposition to Prostate Cancer: Targeted Screening in BRCA1/2 Mutation Carriers and Controls), which is evaluating annual PSA screening in men with a BRCA1 or BRCA2 mutation.5 Although our model suggests that there is potential for PSA screening in very high-risk cohorts, it may underestimate the harms associated with screening if the effect of false-positive PSA test results and biopsies on QOL is not short-lived. Further data are required on the impact of false-positive results and associated biopsies on QOL. Our model does, however, formally synthesise the current available evidence on PSA screening in response to the important clinical question of its potential value in higher risk populations, while incorporating the QOL impact of diagnosis and treatment as well as financial costs in the Australian context.
1 Schema of Markov process modelling the policy of prostate-specific antigen (PSA) screening every 4 years versus the policy of no PSA screening in a simulated cohort of 50-year-old men*
* All men in the simulated cohort entered the Markov process with no prostate cancer (the upper-left green rectangle in diagram). Given a policy of no PSA screening, and at the completion of each 1-year cycle, men in the simulated cohort could transition to any of the states represented by the green rectangles, following the direction indicated by the arrows. Given a policy of PSA screening, men in the simulated cohort could transition in accordance with any arrows (blue or black) to any health state. Under either policy, the model allowed men in the simulated cohort to remain in any of the transient states (states other than death) for more than one cycle. The likelihood of transitioning to another state at the completion of each 1-year cycle was governed by the probabilities in Box 2.
2 Decision model: probabilities and utilities used to estimate lifetime net benefit and cost of prostate-specific antigen (PSA) screening versus no screening in simulated cohort of 50-year-old men
3 Unit costs for health care resources included in Markov model
18*† |
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18*¶ |
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19* |
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AIHW = Australian Institute of Health and Welfare. MBS = Medicare Benefits Schedule. PSA = prostate-specific antigen. * Inflated to reflect 2012 prices.20 † Based on AIHW estimates of the lifetime costs of prostate cancer in Australia, adjusted to reflect that non-terminal care costs represent 72.3% of lifetime costs.21 ‡ Set to 0 in an additional sensitivity analysis under the assumption that PSA testing could be performed during a routine appointment scheduled for other reasons. § PSA screening cost estimated based on fee for single quantitation and varied up to fee for quantitation of multiple fractions or derived index in sensitivity analysis. ¶ Based on AIHW estimates of the lifetime costs of prostate cancer in Australia, adjusted to reflect that terminal care costs represent 27.7% of lifetime costs.21 |
4 Projected clinical outcomes of prostate-specific antigen (PSA) screening versus no screening in a simulated cohort of 50-year-old men*
Cumulative incidence per 1000, lifelong total (10-year projected outcomes) |
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na = not applicable. * Estimates based on 1 000 000 microsimulations. |
5 Results of sensitivity analyses showing difference in quality-adjusted life-years after each of the parameters shown in Box 2 was varied through its plausible range*
PC = prostate cancer. PSA = prostate-specific antigen. * Each parameter in Box 2 was varied through its plausible range in a series of one-way sensitivity analyses for each of the three simulated cohorts. The results are presented in the form of a tornado diagram with horizontal bars showing how the net effectiveness of PSA screening changes as each parameter was varied through its plausible range. Values to the right of the vertical line represent a result indicating a net benefit and those to the left represent a result indicating a net harm.
Received 29 October 2012, accepted 20 March 2013
- Andrew J Martin1
- Sarah J Lord1
- Hannah E Verry1
- Martin R Stockler1,2,3
- Jon D Emery4,5
- 1 NHMRC Clinical Trials Centre, University of Sydney, Sydney, NSW.
- 2 Royal Prince Alfred Hospital, Sydney, NSW
- 3 Concord Hospital, Sydney, NSW.
- 4 School of Primary, Aboriginal and Rural Health Care, University of Western Australia, Perth, WA.
- 5 General Practice and Primary Care Academic Centre, University of Melbourne, Melbourne, VIC.
No relevant disclosures.
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- 2. Royal Australian College of General Practitioners. Guidelines for preventive activities in general practice. Melbourne: RACGP, 2012.
- 3. Pashayan N, Duffy SW, Chowdhury S, et al. Polygenic susceptibility to prostate and breast cancer: implications for personalised screening. Br J Cancer 2011; 104: 1656-1663.
- 4. Howard K, Barratt A, Mann GJ, Patel MI. A model of prostate-specific antigen screening outcomes for low- to high-risk men: information to support informed choices. Arch Intern Med 2009; 169: 1603-1610.
- 5. Mitra AV, Bancroft EK, Barbachano Y, et al. Targeted prostate cancer screening in men with mutations in BRCA1 and BRCA2 detects aggressive prostate cancer: preliminary analysis of the results of the IMPACT study. BJU Int 2011; 107: 28-39.
- 6. Glasziou PP, Irwig LM. An evidence based approach to individualising treatment. BMJ 1995; 311: 1356-1359.
- 7. Heijnsdijk EA, Wever EM, Auvinen A, et al. Quality-of-life effects of prostate-specific antigen screening. N Engl J Med 2012; 367: 595-605.
- 8. Shteynshlyuger A, Andriole GL. Cost-effectiveness of prostate specific antigen screening in the United States: extrapolating from the European study of screening for prostate cancer. J Urol 2011; 185: 828-832.
- 9. Schröder FH, Hugosson J, Roobol MJ, et al. Prostate-cancer mortality at 11 years of follow-up. N Engl J Med 2012; 366: 981-990.
- 10. Lindström S, Schumacher FR, Cox D, et al. Common genetic variants in prostate cancer risk prediction ¯ results from the NCI Breast and Prostate Cancer Cohort Consortium (BPC3). Cancer Epidemiol Biomarkers Prev 2012; 21: 437-444.
- 11. Zheng SL, Sun J, Wiklund F, et al. Cumulative association of five genetic variants with prostate cancer. N Engl J Med 2008; 358: 910-919.
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Abstract
Objectives: To apply the most recent evidence from randomised trials of prostate-specific antigen (PSA) screening and explore the potential value of risk assessments to guide the use of PSA screening in practice.
Design: A decision model that incorporated a Markov process was developed in 2012 to estimate the net benefit and cost of PSA screening versus no screening as a function of baseline risk.
Main outcome measures: Quality-adjusted life-years (QALYs) and costs.
Results: The harms of screening outweighed the benefits under a number of plausible scenarios. Conclusions were sensitive to the estimated quality-of-life impacts of prostate cancer treatment as well as the incidence of cancers not detected by screening tests (poorer prognosis) and those that were detected by screening tests (better prognosis). The base-case incremental cost-effectiveness ratio of PSA screening was $168 611 per QALY for men with average risk, $73 452 per QALY for men with two times the average risk, and $22 938 per QALY for men with five times the average risk.
Conclusions: PSA screening was not found to be cost-effective for men at an average-to-high risk of prostate cancer, but may be cost-effective for men at very high risk. Inexpensive approaches for identifying men at very high risk are needed, as is further research on the size of clinical benefit of early detection in this population. The potential for the costs of risk assessment to be offset by reduced costs of PSA screening also warrants investigation.