D o O l d e r M e n B e n e fi t F r o m C u r a t i v e T h e r a p y o f L o c a l i z e d Prostate Cancer? By Shabbir M.H. Alibhai, Gary Naglie, Robert Nam, John Trachtenberg, and Murray D. Krahn prolonged LE up to age 75 years but did not improve QALE at any age. For moderately differentiated cancers, potentially curative therapy resulted in LE and QALE gains up to age 75 years. For poorly differentiated disease, potentially curative therapy resulted in LE and QALE gains up to age 80 years. Benefits of potentially curative therapy were restricted to men with no worse than mild comorbidity. When cohort and pooled case series data were used, RP was preferred over EBRT in all groups but was comparable to modern radiotherapy. Conclusion: Potentially curative therapy results in significantly improved LE and QALE for older men with few comorbidities and moderately or poorly differentiated localized prostate cancer. Age should not be a barrier to treatment in this group. J Clin Oncol 21:3318-3327. © 2003 by American Society of Clinical Oncology. REATMENT DECISION making in localized prostate cancer is complex. With a recent notable exception,1 there are no randomized clinical trials that have demonstrated a survival advantage of potentially curative therapy (radical prostatectomy [RP] or radiotherapy) over watchful waiting (WW). Expert guidelines were developed prior to the aforementioned trial to identify patients most likely to benefit from treatment.2,3 Key factors to consider are tumor grade,4,5 prostate-specific antigen level,6,7 and the patient’s remaining life expectancy,8-10 which declines with increasing age and comorbid illnesses.11,12 Some researchers have attempted to simplify treatment decisions by using nomograms incorporating tumor variables.13,14 The role of age in decision making is particularly problematic. Published data suggest that otherwise healthy older men with higher-grade cancers may not be receiving potentially lifeprolonging treatment, as a result of the perception that they are unlikely to benefit from these therapies.8 Rates of RP use decline sharply in patients older than 70 years.15-18 Men younger than 60 years who have clinically localized disease are 25 times more likely to receive RP than men age 70 years or older.17 A similar but less dramatic pattern is seen in radiotherapy.15-18 In contrast, decreased rates of potentially curative therapy do not seem to be influenced by tumor grade or comorbidity,15,17 indicating that a patient’s chronological age alone may be inappropriately influencing treatment decisions.19 In an effort to identify which patients should be offered potentially curative treatment, two decision analyses have been published.20,21 Both models demonstrated no gain in qualityadjusted life expectancy (QALE) with RP as compared to WW for patients older than 70 years, regardless of tumor grade.20,21 Several features of these models have been criticized.10,22 First, the studies used to estimate treatment efficacy may be outdated and were subject to selection bias. The former may be particularly true for radiotherapy with which improvements in radiation-delivery techniques have led to significant improvements in biochemical outcomes.23-26 Second, pretreatment potency and continence status were not consistently considered. This may be particularly important for older men, who may be less concerned by long-term treatment-related toxicities because of pre-existing impotence and incontinence. Finally, the utilities used in the models were not obtained from men with prostate cancer, which may have led to unrealistically harsh valuations of treatment-related complications. Thus, published models may not adequately inform current clinical decision making. T From the Division of General Internal Medicine & Clinical Epidemiology, University Health Network; Geriatric Program, Toronto Rehabilitation Institute; and Departments of Medicine, Health Policy, Management and Evaluation, and Surgery, University of Toronto, Toronto, Canada. Submitted September 4, 2002; accepted June 9, 2003. Supported in part by the Department of Medicine, University of Toronto; the Queen Elizabeth Hospital Research Foundation, Toronto; and the Toronto Rehabilitation Institute (S.M.H.A.), by the Mary Trimmer Chair in Geriatric Medicine Research at the University of Toronto (G.N.), and by an Investigator Award (M.D.K.) from the Canadian Institutes for Health Research. Address reprint requests to S.M.H. Alibhai, MD, University Health Network, Room ENG-233, 200 Elizabeth St, Toronto, Ontario, Canada M5G 2C4; e-mail: [email protected]. © 2003 by American Society of Clinical Oncology. 0732-183X/03/2117-3318/$20.00 3318 Journal of Clinical Oncology, Vol 21, No 17 (September 1), 2003: pp 3318-3327 DOI: 10.1200/JCO.2003.09.034 Downloaded from jco.ascopubs.org on September 9, 2014. For personal use only. No other uses without permission. Copyright © 2003 American Society of Clinical Oncology. All rights reserved. Purpose: Prior decision-analytic models are based on outdated or suboptimal efficacy, patient preference, and comorbidity data. We estimated life expectancy (LE) and quality-adjusted life expectancy (QALE) associated with available treatments for localized prostate cancer in men aged > 65 years, adjusting for Gleason score, patient preferences, and comorbidity. Methods: We evaluated three treatments, using a decision-analytic Markov model: radical prostatectomy (RP), external beam radiotherapy (EBRT), and watchful waiting (WW). Rates of treatment complications and pretreatment incontinence and impotence were derived from published studies. We estimated treatment efficacy using three data sources: cancer registry cohort data, pooled case series, and modern radiotherapy studies. Utilities were obtained from 141 prostate cancer patients and from published studies. Results: For men with well-differentiated tumors and few comorbidities, potentially curative therapy (RP or EBRT) 3319 OPTIMAL TREATMENT OF LOCALIZED PROSTATE CANCER The recently published randomized trial of RP versus WW demonstrated a statistically significant and clinically important improvement in disease-specific mortality in the RP arm after a median of 6.2 years of follow-up.1 Although RP seems to be superior to WW, this study leaves several important questions unanswered: Does surgery lead to improved overall survival compared with WW? What is the role of radiotherapy? What is the optimal treatment of patients with Gleason stage 8 to 10 tumors, all of whom were excluded from the Scandinavian trial? How should age, comorbidity, and patient preferences influence treatment choice? We have constructed a decision model that integrates patientspecific data (age and comorbidity), tumor-specific data (grade), and patient-preference data, and that addresses the limitations of previous analyses to identify which older patients may benefit from potentially curative therapy of localized prostate cancer. METHODS Model Design We developed a Markov state transition model to compare life expectancy (LE) and QALE associated with treatment of localized prostate cancer (Fig 1 ). The model simulates the natural history of hypothetical cohorts of men with newly diagnosed cancer of varying grades.27 Three treatment strategies were considered: RP, external-beam radiotherapy (EBRT), and, WW. Three grades of disease were considered: well-differentiated (grade 1, Gleason score 2 to 428), moderately-differentiated (grade 2, Gleason score 5 to 7), and poorly differentiated (grade 3, Gleason score 8 to 10) prostate cancer. Patients receiving either RP or EBRT have a small risk of treatmentrelated mortality. Survivors of RP and EBRT, along with all WW patients, enter one of eight health states, which are combinations of the posttreatment state with or without incontinence, impotence, chronic bowel injury, or a combination of the three (Fig 1). Incontinence, impotence, or both could predate the diagnosis of prostate cancer, result from treatment-associated complications, or develop as a function of age, independent of treatment. Each year, patients could remain in their current health state; could develop age-associated incontinence, impotence, or both; or could develop metastatic disease. We assumed that patients who develop metastatic disease are administered hormonal therapy.29 In each subsequent year, their disease might remain stable or become hormone-resistant (resulting in death from prostate cancer). Within each year, patients might also die as a result of other causes. Actuarial life-tables for men were used to estimate the age-specific annual risk of dying from other causes.30 Data Sources We performed a computerized search using the MEDLINE database from January 1966 to November 2000. Combinations of the following medical subject headings and text words or phrases were employed: prostatic neoplasms, follow-up studies, treatment outcome, prostatectomy, radiotherapy, and watchful waiting. Citations were restricted to the English language. We also cross-referenced prostatic neoplasms with the text word “utilities” and the headings “decision making” or “quality-adjusted life years” in order to identify all published studies in which utilities for prostate cancer outcomes were measured. Reference lists from identified studies, published meta-analyses, decision analyses, selected review articles, book chapters, and our own files were also examined. Content experts in urology, radiation oncology, incontinence, and impotence were contacted to ensure that no important studies were overlooked. Treatment Efficacy We chose to examine disease-specific survival as our primary efficacy outcome because this outcome is clinically important to patients and clinicians. Moreover, it avoids the pitfalls associated with intermediate end points, such as biochemical relapse (ie, increasing prostate-specific antigen level), which do not always have a consistent relationship with outcomes such as survival or development of metastases.31,32 We used three sets of data to estimate treatment efficacy. In our baseline analysis, we used grade-stratified, 10-year, disease-specific survival data from the only large, population-based data set (n ⫽ 59,876) of prostate cancer patients stratified by grade and treatment.33 We used the annual probability of dying from progressive metastatic prostate cancer reported in a systematic overview of randomized trials of androgen blockade in metastatic prostate cancer (Table 1).34 We imputed the probability of developing metastatic disease using disease-specific survival rates and the mortality risk associated with metastatic disease. We chose to impute rates of developing metastases rather than directly obtain them from the literature because of systematic differences in clinical, biochemical, and radiographic follow-up of patients in published studies. We then assumed that once patients developed metastatic disease, the annual probability of dying from prostate cancer was independent of initial treatment. We attempted to validate our estimates of disease efficacy using a second data set. We used grade-stratified disease-specific mortality rates obtained Downloaded from jco.ascopubs.org on September 9, 2014. For personal use only. No other uses without permission. Copyright © 2003 American Society of Clinical Oncology. All rights reserved. Fig 1. Key healthcare states and transitions in Markov model, radical prostatectomy branch. After undergoing treatment, patients entered one of eight post-treatment healthcare states. In each cycle, patients could remain stable, die as a result of other causes, or develop hormone-responsive metastases. Patients with metastases could either remain stable, die as a result of other causes, or die as a result of advanced prostate cancer. 3320 ALIBHAI ET AL Table 1. Model Probabilities and Utilities Description P Range Variable* .224 .023-.26 NA .00297 .0091 .00148-.0048 .00297-.0205 .0172 .0306 .0123-.0205 .0233-.0384 .0123 .0205 .0107-.0172 .0139-.0312 .0139 .0330 .0107-.0172 .0240-.0447 .0447 .0349 .0388-.0510 .0277-.0389 .0407 .0205 .0368-.0468 .0123-.0330 .0407 .0388 .0330-.0510 .0223-.0644 .0992 .0644 .0847-.119 .0529-.0744 .130 .170 .112-.151 .105-.292 Variable* Variable* .228 .168 NA .0045-.0459 .579-.798 .126-.253 .154-.524 NA .002 Variable* .128 .116 .016 0-.006 .294-.431 .064-.506 .053-.333 .008-.131 Variable* Variable* .0609 .156-.643 .116-.236 50-200% .91 .94 .92 .99 .84 .58 1.0 .97 .92 .88 .67 .67 .69-1.0 .92-1.0 .57-1.0 .45-1.0 .42-1.0 .05-0.58 .72-1.0 — — — .50-1.0 .50-1.0 NOTE. Includes all major probabilities and utilities in model. Annual probabilities of developing metastatic disease for each treatment modality obtained from both cohort data33 and multi-institutional case series.5,35,36 Unless specified otherwise, grade 1 ⫽ Gleason score 2-4; grade 2 ⫽ Gleason score 5-7; grade 3 ⫽ Gleason score, 8-10. Abbreviations: RP, radical prostatectomy; EBRT, external-beam radiotherapy; WW, watchful waiting; RTOG, Radiation Therapy Oncology Group; ICED, Index of Coexistent Disease; NA, not applicable. *Dependent on patient age. †For EBRT, grade 2 ⫽ Gleason score 5-6; grade 3 ⫽ Gleason score 7-10. Downloaded from jco.ascopubs.org on September 9, 2014. For personal use only. No other uses without permission. Copyright © 2003 American Society of Clinical Oncology. All rights reserved. Overall probabilities Annual probability of non–prostate cancer death30 Annual probability of death from metastatic prostate cancer34 Grade-specific progression rates Grade 1 RP Cohort data33 Case series35 EBRT Cohort data33 Case series36 WW Cohort data33 Case series5 Grade 2 RP Cohort data33 Case series35 EBRT Cohort data33 Case series†36 WW Cohort data33 Case series5 Grade 3 RP Cohort data33 Case series35 EBRT Cohort data33 Case series†36 WW Cohort data33 Case series5 Radical prostatectomy branch 30-day mortality37,38 Long-term impotence39 Long-term urinary symptoms39,40 Severe symptoms: all urinary symptoms, RTOG grade 3 equivalent39,40 Long-term bowel symptoms External Beam Radiotherapy Branch 30-day mortality41,42 Long-term impotence43 Long-term urinary symptoms24,25,44-52 Severe symptoms: all urinary symptoms, RTOG grade 3 equivalent24,25,44,52 Long-term bowel symptoms, RTOG grade 3 equivalent24,25,44-47,50-57 Pretreatment probabilities Age-associated impotence39,58 Age-associated urinary symptoms39,59 Severe symptoms: all urinary symptoms,39 RTOG grade 3 equivalent Utilities Long-term impotence21,60 Long-term urinary symptoms, nonsevere61 Long-term urinary symptoms, severe21,60 Long-term bowel complications60,62 Hormone-responsive metastases21,63 Hormone-resistant metastases63,64 Watchful waiting, assumed Comorbidity ICED level 165 Comorbidity ICED level 266 Comorbidity ICED level 365 Short-term utility of surgery, estimated Short-term utility of radiotherapy, estimated 3321 OPTIMAL TREATMENT OF LOCALIZED PROSTATE CANCER Treatment Complications The probability of age-stratified 30-day mortality after RP was obtained from a large cohort study of Medicare patients.37 For 30-day mortality data after EBRT, we used unstratified case series mortality data.41,42 To examine long-term treatment-related complications, we included all studies that featured patient-reported complication rates at least 1 year after treatment. Studies that did not include pretreatment incontinence and impotence rates were excluded to avoid labeling a pre-existing condition as a treatment side effect. For incontinence, we calculated the proportion of patients with incontinence that reported severe (equivalent to at least grade 3 Radiation Therapy Oncology Group toxicity53) and nonsevere incontinence directly from studies that provided this information. For impotence, studies were excluded if age-stratified rates were not reported. Severe bowel injury was defined as equivalent to at least grade 3 toxicity. Pooled rates were obtained for each complication, weighted by the inverse of the study estimate’s variance. We estimated the age-stratified prevalence of incontinence and impotence before treatment, as well as the distribution of incontinence severity (severe v nonsevere) from a recently published prospective treatment study of 1,291 men with prostate cancer.39 For men older than age 80 years, incontinence and impotence rates were obtained from large, population-based studies.58,59 Annual incidence rates of incontinence and impotence were derived from the studies used for prevalence data.39,58,59 Utilities Utilities for long-term complications were primarily derived from Krahn et al.72 For each complication (incontinence, impotence, and bowel injury), a disutility rating was obtained by finding the difference in mean self-reported utility rating between patients in the highest and lowest quintiles of symptom severity on the Prostate Cancer Index73 (Table 1). The disutility of nonsevere incontinence was obtained from couples attending a general medicine clinic.61 Utilities related to metastatic disease were obtained from Bennett et al.63 Plausible ranges for sensitivity analyses were obtained from other published studies21,52-79 (Table 1). Utilities for acute treatment-related morbidity and disability for RP and EBRT were modeled as a single value for a period of 13 weeks for RP and 8 weeks for EBRT (Table 1). The duration of symptoms and associated utility were estimated on the basis of published descriptions of typical treatment-related morbidity experienced by patients immediately after treatment.80,81 We did not explicitly assign a disutility to WW but examined this assumption in sensitivity analyses. Comorbidity Adjustment In our model, we assumed that comorbidity modifies short-term and long-term outcomes as well as quality of life. To model the influence of comorbidity on annual mortality rates, we obtained hazard rates from the only published study that stratified mortality rates for prostate cancer by comorbidity.82 The study used the Index of Coexistent Disease (ICED)83 to stratify patients into four levels of comorbidity (0 ⫽ no disease or asymptomatic disease, 3 ⫽ severely disabling or life-threatening disease). The ICED rates both severity of illness (across 11 organ systems) and functional limitations.83 The hazard ratio for each comorbidity level, relative to no comorbidity, was then multiplied by the age-stratified annual probability of dying from other diseases.30 We also adjusted the risk of 30-day mortality after RP for comorbidity. Descriptions of health states representing different ICED levels were used to assign scores using a commonly employed perioperative risk index.84 This allowed us to obtain an odds ratio of the increased risk of mortality caused by comorbidity, which was used to adjust the age-stratified 30-day mortality risk after RP. A utility rating for each level of comorbidity was derived by determining a severity of angina rating corresponding to each ICED level. We chose angina as a proxy for cardiovascular disease, the most common cause of morbidity and mortality in an older cohort.85,86 Utility ratings for each ICED level were then obtained from two studies of patients with varying severities of angina.65,66 The resultant utility was multiplied by other utilities for each hypothetical patient in each branch of the model. Sensitivity Analyses To examine the stability of the results of our model to variation in the base-case estimates, we performed extensive sensitivity analyses on all variables in our model. We chose age 75 years for our base-case, given that most patients 75 years or older do not receive potentially curative therapy.15 For probabilities related to treatment efficacy, upper and lower bounds of the 95% confidence interval (CI) of published 10-year disease-specific survival were used (Table 1). For long-term complication probabilities, the plausible range was obtained from published estimates (Table 1). A similar strategy was used for utilities (Table 1). Discounting We examined differences in LE and QALE until death or age 100 years with no discounting. RESULTS Our analyses incorporated information on age, comorbidity, and tumor grade using three complementary treatment-efficacy data sources. To provide results that are most clinically relevant, we have organized our results for men who have no comorbidity by histologic grade. To maximize the transparency of our findings for clinicians, our results are also summarized for different age and tumor-grade combinations in a look-up table (Fig 2). The influence of comorbidity on treatment choice is discussed separately. Grade 1 (Gleason score 2 to 4) Disease When cohort treatment-efficacy data are used for a 65-yearold otherwise well man with grade 1 disease, RP results in LE gains that exceed those of other treatments (LE for RP, EBRT, and WW is 14.48, 13.36, and 13.77 years, respectively; Table 2). Small LE gains are present even in older men (eg, 0.17 years for a 75-year-old man). However, these LE gains are offset by quality-of-life effects associated with treatment complications Downloaded from jco.ascopubs.org on September 9, 2014. For personal use only. No other uses without permission. Copyright © 2003 American Society of Clinical Oncology. All rights reserved. from published multi-institutional pooled case series of treatment (Table 1)5,35,36 and calculated the annual risk of metastatic disease using the method described in the previous paragraph. Case series data for EBRT were extrapolated to 10 years because the median follow-up time was only 4.1 years.36 We also validated our model’s findings with those of the recently published randomized trial of RP versus WW1 by reproducing the distribution of Gleason scores of the trial participants and calculating 5-year and 8-year disease-specific mortality for the RP and WW arms. Finally, we had initially planned to include in our analyses only those studies that reported grade-stratified disease-specific mortality. However, major changes have taken place in the delivery of radiotherapy during the last decade.23 Newer therapeutic modalities, such as escalated-dose, conformal and intensity-modulated radiotherapy, have led to impressive results in intermediate outcomes such as biochemical relapse.25,67,68 To date, however, few published studies have reported disease-specific survival. To estimate the impact of newer radiotherapeutic techniques on outcomes, we identified studies that reported grade-stratified biochemical relapse rates after conformal radiotherapy.24,67,69,70 We obtained grade-stratified progression rates after biochemical relapse from a study of patients treated with radiotherapy and observed from biochemical relapse to death.71 We then derived progression rates from biochemical relapse to metastatic disease, on the basis of our previously employed method, assuming the same progression rate from metastatic disease to death as described. These data were substituted into our model and compared with results from RP, WW, and EBRT. 3322 ALIBHAI ET AL Grade 3 (Gleason score 8 to 10) Disease Impact of Comorbidity Fig 2. Look-up table identifying patients who will gain in quality-adjusted life expectancy from potentially curative therapy, stratified by age and tumor grade. The figure illustrates gains from potentially curative therapy (higher of radical prostatectomy or modern radiotherapy), radical prostatectomy, and modern radiotherapy compared to watchful waiting. Gains are stratified into three levels of benefit, which are stratified by tumor grade. Units are in quality-adjusted life years. (Table 3). Thus, WW is preferred (ie, has the greatest QALE) for men aged 65 years and older. EBRT does not seem to have any advantage over WW in either LE or QALE. Substituting caseseries– efficacy estimates did not substantially alter the preferred strategy. Incorporating modern radiotherapy data led to higher LE and QALE estimates than for EBRT, but WW was still preferred for men 65 years and older. Grade 2 (Gleason score 5 to 7) Disease For men with grade 2 tumors, RP results in LE gains up to age 80 years when compared with other treatments using cohort data (LE for RP, EBRT, and WW at age 80 is 6.23, 6.13, and 6.19 years, respectively). When quality-of-life effects are considered, RP has a higher QALE than other treatment strategies up to age 75 years, after which WW has the highest QALE. EBRT does not seem to have any advantage over WW in either LE or QALE. If case-series data are employed, WW is preferred in terms of LE and QALE for men 65 years and older. Results with modern radiotherapy indicate that WW is the preferred option in terms of LE and QALE up to age 85 years, although gains are small at age 85 years (LE gain of 0.17 years compared with both RP and WW). In general, overall LE and QALE decreased as comorbidity increased across all tumor grades (results for QALE are shown in Table 3). For patients with low-grade disease, potentially curative therapy did not result in clinically significant QALE gains as compared with WW for patients aged 65 years or older, regardless of comorbidity. For grade 2 tumors, RP (but not EBRT) resulted in higher QALE than WW for patients with mild or moderate comorbidity up to age 75 and 65 years, respectively. For high-grade disease, potentially curative therapy resulted in higher QALE than WW for men even with moderate comorbidity up to age 75 years (QALE for a 75-year-old man with moderate comorbidity of 3.57, 3.42, and 3.39 years for RP, EBRT, and WW, respectively). External Validation Our model’s results were compared to the 5- and 8-year disease-specific mortality from the randomized trial by Holmberg et al.1 Our model predicted a 3.3% and 6.4% 5- and 8-year disease-specific mortality for the RP arm, respectively, compared to 2.6% (95% confidence interval [CI], 0.7% to 4.6%) and 7.1% (95% CI, 3.3% to 11.0%) in the trial. For WW, our model predicted a 6.8% and 14.8% 5- and 8-year disease-specific mortality, respectively; the corresponding figures from the trial were 4.6% (95% CI, 2.1% to 7.2%) and 13.6% (95% CI, 7.9% to 19.7%). Thus, our model’s predictions were similar to those observed in the trial. Sensitivity Analyses For a 75-year-old man with grade 1 cancer, the preference for potentially curative therapy versus WW changes depending on the value of three variables (Table 4). The most influential variable was the utility associated with WW. WW was preferred in the baseline analysis, but if the utility of WW was less than 0.99, RP became the preferred strategy. EBRT was preferred to WW if the utility of WW was less than 0.96. Other key variables included the disease-specific survival associated with WW and the utility of impotence. For grade 2 tumors, the preferred treatment option was influenced only by the utility of impotence. For grade 3 cancers, potentially curative therapy was preferred Downloaded from jco.ascopubs.org on September 9, 2014. For personal use only. No other uses without permission. Copyright © 2003 American Society of Clinical Oncology. All rights reserved. For otherwise healthy men with grade 3 tumors, potentially curative therapy (RP or EBRT) results in improved LE and QALE compared with WW up to the age of 85 years, regardless of treatment efficacy data. Relatively large gains in both LE and QALE (ie, greater than 1 year87) are seen in men who undergo potentially curative therapy up to age 75 years, when compared with WW (LE gains for RP and EBRT compared to WW of 1.40 years and 0.40 years, respectively, for a 75-year-old man). Although surgery generally results in greater gains than EBRT in LE and QALE when cohort or case-series data are used, results are comparable when modern radiotherapy data are examined (LE at age 75 of 7.86 and 7.78 years for RP and modern radiotherapy, respectively). 3323 OPTIMAL TREATMENT OF LOCALIZED PROSTATE CANCER Table 2. Life Expectancy for Each Treatment Strategy, Stratified by Age, Grade, and Efficacy Data Source Age (years) Age 65 Strategy CS 13.77 M CO CS 13.15 11.07 0.71 0.81 ⫺0.41 ⫺0.71 11.85 Age 75 CO CS 10.68 8.65 0.40 0.48 ⫺0.26 ⫺0.45 13.15 9.86 1.73 0.89 ⫺0.25 ⫺0.98 8.49 Age 80 CO CS 8.43 6.55 0.17 0.22 ⫺0.15 ⫺0.27 10.68 7.95 1.06 ⫺0.59 ⫺0.17 ⫺0.62 7.66 7.53 3.31 4.25 0.83 2.97 0.41 2.24 2.96 M Age 85 CO CS 6.44 4.74 4.69 ⫺0.17 ⫺0.15 ⫺0.17 ⫺0.15 ⫺0.08 ⫺0.14 ⫺0.04 ⫺0.06 8.43 6.19 6.44 4.58 4.69 0.57 ⫺0.39 0.04 ⫺0.45 ⫺0.07 ⫺0.28 ⫺0.11 ⫺0.37 ⫺0.06 ⫺0.20 ⫺0.03 ⫺0.09 6.91 6.46 6.03 5.34 5.06 4.19 4.04 2.27 2.96 1.40 1.88 0.56 0.86 0.18 0.34 0.60 2.13 0.40 1.42 0.24 0.85 0.11 0.42 0.25 1.40 2.06 M 0.14 0.80 1.32 M 0.07 0.41 0.75 M 0.02 0.17 0.35 NOTE. Results are shown in years of LE. Utilities were not considered in the analyses. Total LE is shown for watchful waiting, whereas incremental LE is shown for both radical prostatectomy and radiotherapy compared with watchful waiting from the same column. Results are shown separately for cohort data33 (column CO), pooled case series for radical prostatectomy,35 external beam radiotherapy,36 watchful waiting,5 (column CS) and modern radiotherapy data78 (column M). Incremental LE from modern radiotherapy was calculated compared with watchful waiting from cohort data. Abbreviations: CO, cohort data; CS, case series data; M, modern radiotherapy data; LE, life expectancy. *Incremental life expectancy results are shown relative to watchful waiting. over WW across the plausible range of all probabilities and utilities for a 75-year-old man. DISCUSSION The results of our decision analysis indicate that potentially curative therapy (surgery or radiotherapy) may lead to significant Table 3. gains in health outcomes for men up to at least age 75 or 80 years with moderately or poorly differentiated localized prostate cancer, respectively. This contrasts with current practice, in which a significant proportion of men older than age 70 years with moderate or poorly differentiated disease are neither offered88,89 nor undergo15-17 potentially curative therapy. For example, Impact of Comorbidity on QALE for Different Grades of Disease Age (years) 65 Strategy Grade 1 RP EBRT WW Grade 2 RP EBRT WW Grade 3 RP EBRT WW 75 85 0* 1 2 3 0 1 2 3 0 1 2 3 12.99 12.24 13.01 10.99 10.50 11.13 7.12 7.02 7.41 2.06 2.17 2.32 7.91 7.69 8.00 6.48 6.37 6.62 3.78 3.83 3.98 0.74 0.83 0.87 4.06 4.25 4.40 3.23 3.44 3.56 1.63 1.86 1.92 0.20 0.41 0.41 12.14 10.53 11.08 10.37 9.21 9.67 6.85 6.43 6.75 2.05 2.13 2.27 7.61 7.04 7.29 6.27 5.92 6.12 3.72 3.68 3.81 0.74 0.83 0.87 4.00 4.10 4.23 3.18 3.34 3.45 1.62 1.83 1.89 0.20 0.41 0.41 10.46 8.32 7.71 9.11 7.47 7.00 6.29 5.55 5.36 2.01 2.05 2.13 6.98 6.08 5.80 5.84 5.22 5.04 3.57 3.42 3.39 0.74 0.82 0.86 3.86 3.83 3.79 3.09 3.15 3.14 1.60 1.78 1.81 0.20 0.41 0.41 Abbreviations: QALE, Quality-adjusted life expectancy; RP, radical prostatectomy; EBRT, external beam radiotherapy; WW-watchful waiting. *Results are shown in quality-adjusted life years for patients of different ages and with four different levels of comorbidity as measured by the Index of Coexistent Disease,63 ranging from 0 (no or asymptomatic comorbidity) to 3 (severely disabling or life-threatening). For this analysis, treatment efficacy data were obtained from Lu-Yao et al.33 Downloaded from jco.ascopubs.org on September 9, 2014. For personal use only. No other uses without permission. Copyright © 2003 American Society of Clinical Oncology. All rights reserved. Grade 1 Watchful waiting Incremental LE* Radical Prostatectomy External beam Radiotherapy Grade 2 Watchful waiting Incremental LE* Radical Prostatectomy External beam Radiotherapy Grade 3 Watchful waiting Incremental LE* Radical Prostatectomy External beam Radiotherapy CO Age 70 3324 ALIBHAI ET AL Table 4. Sensitivity Analysis for All Tumor Grades for a 75-Year-Old Man, No Comorbidity Base Case Plausible Range Threshold* Grade 1 Threshold* Grade 2 Threshold* Grade 3 Age-associated incontinence Age-associated impotence Probability of metastasis after RP Probability of metastasis after EBRT Probability of metastasis after WW Probability of 30-day mortality after RP Probability of impotence after RP Probability of urinary symptoms after RP Probability of 30-day mortality after EBRT Probability of bowel symptoms after EBRT ⱖ grade 3 Probability of impotence after EBRT Probability of urinary symptoms after EBRT Probability of severe urinary symptoms after EBRT Probability of severe urinary symptoms after RP Probability of severe urinary symptoms due to age Probability of new impotence Probability of new urinary symptoms Short-term utility associated with RP Short-term utility associated with EBRT Utility of bowel complications Utility of impotence Utility of urinary symptoms, severe Utility of urinary symptoms, non-severe Utility of hormone-responsive metastases Utility of hormone-resistant metastases Utility of WW .136 .514 Variable† Variable† Variable† .0104 .607 .228 .002 .0159 .431 .128 .116 .168 .0609 .053 .020 .67 .67 .99 .91 .92 .94 .84 .58 1.0 50%-200% 50%-150% Variable† Variable† Variable† 50%-200% 50%-150% 0.126-0.253 0-0.006 0-0.131 25%-200% 0.064-0.506 50%-200% 50%-200% 50%-200% 0%-200% 0%-200% 0.50-1.0 0.50-1.0 0.45-1.0 0.69-1.0 0.57-1.0 0.92-1.0 0.42-1.0 0.05-0.58 0.72-1.0 NT TOR NT TOR 0.0158 NT TOR NT NT NT NT NT NT NT NT NT NT NT NT NT .96 NT NT TOR NT 0.99 NT NT TOR TOR TOR TOR NT NT NT NT NT NT NT NT NT NT NT NT NT NT .77 TOR TOR NT NT NT NT NT TOR TOR TOR TOR NT NT NT NT NT NT NT NT NT NT NT NT NT NT TOR NT TOR NT NT NT NOTE. All probabilities are reported as annual probabilities. Thresholds were found outside of the plausible range for grade 1 disease as follows: probability of age-associated impotence (157% of baseline value); probability of impotence after RP (45% of baseline); probability of metastasis after EBRT (.0056); utility of hormone-responsive metastases (.38). For grade 2 tumors, thresholds were found outside of the plausible range for probability of metastasis after RP (.0268); probability of metastasis after EBRT (.0202); probability of metastasis after WW (0.0272); 30-day mortality after RP (499% of baseline); utility of non-severe urinary symptoms (.35); and utility of severe urinary symptoms (.06). For grade 3 cancers, thresholds were found outside of the plausible range for probability of metastasis after RP (.091); probability of metastasis after EBRT (0.048); probability of metastasis after WW (.055); 30-day mortality after RP (1568% of baseline); utility of impotence (.51); and utility of non-severe urinary symptoms (.01). Abbreviations: NT, no threshold found for this variable; TOR, threshold found outside of range of plausible values; RP, radical prostatectomy; EBRT, external beam radiotherapy; WW, watchful waiting. *The threshold refers to the value of a given variable above and below which the preferred strategy changes. †Base case and plausible range are dependent on tumor grade and are listed in Table 1. Krahn et al89 found that the odds of a 75-year-old man being offered RP for a moderately differentiated tumor were only 0.003 times the odds of a 55-year-old man being offered the same treatment. Thus, our discussion focuses on which groups of older patients should, on the basis of our findings, be offered potentially curative therapy. For patients with low-grade (Gleason score 2 to 4) disease, the survival advantages of potentially curative therapy are modest. In this group of patients, the tumor is slow growing, treatment complications are important, and the risk of dying from competing causes exceeds the risk of cancer death. Moreover, benefits from potentially curative therapy are restricted to men with no comorbidity and are conditional on patients’ preferences for outcomes of treatment. In particular, an individual patient’s level of discomfort associated with leaving his disease untreated significantly influences the preferred treatment.90 For patients with moderate-grade (Gleason score 5 to 7) tumors, there is significant uncertainty. The choice of optimal treatment is highly dependent on which outcome studies one accepts. If one believes in long-term outcomes reported in population-based cohort studies or biochemical outcomes with modern radiotherapy, potentially curative therapy is beneficial up to age 75 years for men with either no or mild comorbidity. If one accepts results from highly selected individuals at specialized tertiary care institutions, the benefits of treating anyone age 65 years or older with either surgery or radiotherapy are marginal, regardless of overall health. A key patient preference that may influence treatment is the patient’s values regarding preservation of sexual function. For patients with high-grade (Gleason score 8 to 10) lesions, the results are most clear. Otherwise healthy men up to age 80 years would experience significant benefits in terms of both survival and quality-adjusted survival with potentially curative therapy. Increasing comorbidity leads to decreased benefits, such that potentially curative therapy is no longer superior to WW for 75-year-old men with moderate comorbidity or 80-year-old men with even mild comorbidity. Although surgery seems to show somewhat greater benefit than radiotherapy, variation in preferences among individual patients, along with innovations in radiotherapeutic techniques in some centers, may make either Downloaded from jco.ascopubs.org on September 9, 2014. For personal use only. No other uses without permission. Copyright © 2003 American Society of Clinical Oncology. All rights reserved. Variable 3325 OPTIMAL TREATMENT OF LOCALIZED PROSTATE CANCER utilities for various health states used in our model were elicited from a relatively large cohort of men with prostate cancer, and are more representative of men with prostate cancer than those used in previous studies. Quantitatively, better disease-specific survival with potentially curative therapy and higher utility ratings for treatment-related complications accounted for much of the differences between our results and those of Fleming et al20 and Kattan et al,21 respectively. The greatest limitation to our analyses is the lack of efficacy data from randomized trials. The recently published Scandinavian trial1 addresses neither the role of radiotherapy nor the treatment of Gleason score 8 to 10 tumors. Although another large randomized trial is underway, results will not be available for several years, and will only address the question of surgery versus WW.93 Despite using multiple data sources in our study, observational data are more prone to bias than are randomized clinical trials. It is nonetheless reassuring that use of multiple data sources generally yielded qualitatively similar results that were comparable to those of Holmberg et al.1 In addition, although results for intermediate outcomes, such as biochemical relapse, in studies using modern radiotherapeutic techniques seem promising, longterm survival data have yet to be published.25,67,94 Thus, our results using modern radiotherapy must be viewed with caution in the absence of mature outcome data. The current quality of evidence also does not allow us to determine which of the two potentially curative modalities (surgery or radiotherapy) is superior. Because of limited long-term disease-specific survival data from published studies, we were also unable to separate Gleason-score 7 from Gleason score 5 and 6 tumors, which limits our ability to provide recommendations about the optimal management of these more aggressive tumors.95-98 What is most clear from our results is that potentially curative therapy should be seriously considered in reasonably healthy men up to age 80 years who have high-grade disease. More generally, clinicians need to consider age, comorbidity, and patient preferences in addition to tumor grade when considering treatment options for older men with localized prostate cancer. ACKNOWLEDGMENT We thank Drs. Padraig Warde and Mack Roach III for their helpful comments on previous versions of the manuscript. REFERENCES 1. Holmberg L, Bill-Axelson A, Helgesen F, et al: A randomized trial comparing radical prostatectomy with watchful waiting in early prostate cancer. N Engl J Med 347:781-789, 2002 2. Middleton RG, Thompson IM, Austenfeld MS, et al: Prostate Cancer Clinical Guidelines Panel Summary report on the management of clinically localized prostate cancer: The American Urological Association. J Urol 154:2144-2148, 1995 3. Aus G, Abbou CC, Pacik D, et al: EAU guidelines on prostate cancer. Eur Urol 40:97-101, 2001 4. Albertsen PC, Fryback DG, Storer BE, et al: Long-term survival among men with conservatively treated localized prostate cancer. JAMA 274:626631, 1995 5. Chodak GW, Thisted RA, Gerber GS, et al: Results of conservative management of clinically localized prostate cancer. N Engl J Med 330:242248, 1994 6. Vicini FA, Horwitz EM, Gonzalez J, et al: Treatment options for localized prostate cancer based on pretreatment serum prostate specific antigen levels. J Urol 158:319-325, 1997 7. Vicini FA, Horwitz EM, Kini VR, et al: Treatment options for localized prostate cancer based on pretreatment serum prostate-specific antigen levels and biochemical control: A comprehensive review of the literature. Int J Radiat Oncol Biol Phys 40:1101-1110, 1998 8. Menon M, Parulkar BG, Baker S: Should we treat localized prostate cancer? An opinion. Urology 46:607-616, 1995 Downloaded from jco.ascopubs.org on September 9, 2014. For personal use only. No other uses without permission. Copyright © 2003 American Society of Clinical Oncology. All rights reserved. option the preferred choice. Our results are robust for every variable examined in our model, and argue strongly for wider consideration of potentially curative therapy for older men with high-grade disease. We believe our finding with respect to treatment of high-grade disease represents the single insight of greatest clinical value provided by our decision model. Our results point to the need to avoid making treatment decisions simply on the basis of age. Large gains in qualityadjusted survival result from potentially curative therapy for high-grade tumors in 75-year-old men—larger, in fact, than from treating 65-year-old men with low-grade disease. Our findings indicate that age thresholds are set too low for men with high-grade and, to a lesser extent, moderate-grade disease. Our results also point out the importance of determining patient preferences with respect to prolonging life versus preserving quality of life91 because this has a significant influence on optimal treatment in situations in which survival gains are large but quality-adjusted survival benefits may be smaller. For example, a 75-year-old otherwise healthy man with a localized Gleason score 6 tumor may opt for potentially curative therapy if he values maximizing his remaining years of life, but may opt for conservative management if he strongly values maintaining continence and potency. Our findings are in contrast to those of previous decision models. Our analysis is the first to indicate that potentially curative therapy results in improved health outcomes for patients older than age 70 years, especially for men with high-grade disease. Several significant differences between our model and previous models20,21 likely account for the discrepant findings. First, previous studies used efficacy data from individual institutions or pooled case series and assumed that radiotherapy was equally efficacious as surgery. We examined the efficacy of treatment using three discrete, complementary data sources (cohort studies, pooled case series, and modern radiotherapy data) to reduce uncertainty attributable to study selection. Second, previous studies obtained rates of progression from metastatic disease from selected studies with variable follow-up and surveillance criteria, whereas we used data from a systematic overview of 27 randomized trials of hormonal therapy in advanced disease.34 Third, we obtained treatment-related complication rates from studies in centers where nerve-sparing surgical procedures92 were regularly used, and we adjusted for pretreatment potency and continence status. Finally, most of the 3326 34. Prostate Cancer Trialists’ Collaborative Group: Maximum androgen blockade in advanced prostate cancer: An overview of the randomised trials. Lancet 355:1491-1498, 2000 35. Gerber GS, Thisted RA, Scardino PT, et al: Results of radical prostatectomy in men with clinically localized prostate cancer. JAMA 276:615-619, 1996 36. Shipley WU, Thames HD, Sandler HM, et al: Radiation therapy for clinically localized prostate cancer: A multi-institutional pooled analysis. JAMA 281:1598-1604, 1999 37. Lu-Yao GL, Albertsen P, Warren J, et al: Effect of age and surgical approach on complications and short-term mortality after radical prostatectomy: A population-based study. Urology 54:301-307, 1999 38. Lu-Yao GL, McLerran D, Wasson J, et al: An assessment of radical prostatectomy. Time trends, geographic variation, and outcomes: The Prostate Patient Outcomes Research Team. JAMA 269:2633-2636, 1993 39. Stanford JL, Feng Z, Hamilton AS, et al: Urinary and sexual function after radical prostatectomy for clinically localized prostate cancer: The Prostate Cancer Outcomes Study. JAMA 283:354-360, 2000 40. Davidson PJ, van den Ouden D, Schroeder FH: Radical prostatectomy: Prospective assessment of mortality and morbidity. Eur Urol 29:168173, 1996 41. Shipley WU, Zietman AL, Hanks GE, et al: Treatment related sequelae following external beam radiation for prostate cancer: A review with an update in patients with stages T1 and T2 tumor. J Urol 152:17991805, 1994 42. Wasson JH, Cushman CC, Bruskewitz RC, et al: A structured literature review of treatment for localized prostate cancer: Prostate Disease Patient Outcome Research Team. Arch Fam Med 2:487-493, 1993 43. Talcott JA, Rieker P, Clark JA, et al: Patient-reported symptoms after primary therapy for early prostate cancer: Results of a prospective cohort study. J Clin Oncol 16:275-283, 1998 44. Borghede G, Hedelin H: Radiotherapy of localised prostate cancer: Analysis of late treatment complications—A prospective study. Radiother Oncol 43:139-146, 1997 45. Caffo O, Fellin G, Graffer U, et al: Assessment of quality of life after radical radiotherapy for prostate cancer. Br J Urol 78:557-563, 1996 46. Crook J, Esche B, Futter N: Effect of pelvic radiotherapy for prostate cancer on bowel, bladder, and sexual function: The patient’s perspective. Urology 47:387-394, 1996 47. Duncan W, Warde P, Catton CN, et al: Carcinoma of the prostate: Results of radical radiotherapy (1970-1985). Int J Radiat Oncol Biol Phys 26:203-210, 1993 48. El-Galley RES, Howard GCW, Hawkyard S, et al: Radical radiotherapy for localized adenocarcinoma of the prostate: A report of 191 cases. Br J Urol 75:38-43, 1994 49. Lim AJ, Brandon AH, Fiedler J, et al: Quality of life: Radical prostatectomy versus radiation therapy for prostate cancer. J Urol 154:14201425, 1995 50. Mameghan H, Fisher R, Watt WH, et al: Results of radiotherapy for localised prostatic carcinoma treated at the Prince of Wales Hospital, Sydney. Med J Aust 154:317-326, 1991 51. McCammon KA, Kolm P, Main B, et al: Comparative quality-of-life analysis after radical prostatectomy or external beam radiation for localized prostate cancer. Urology 54:509-516, 1999 52. Widmark A, Fransson P, Tavelin B: Self-assessment questionnaire for evaluating urinary and intestinal late side effects after pelvic radiotherapy in patients with prostate cancer compared with an age-matched control population. Cancer 74:2520-2532, 1994 53. Lawton CA, Won M, Pilepich MV, et al: Long-term treatment sequelae following external beam irradiation for adenocarcinoma of the prostate: Analysis of RTOG studies 7506 and 7706. Int J Radiat Oncol Biol Phys 21:935-939, 1991 54. Arcangeli G, Micheli A, Pansadoro V, et al: Definitive radiation therapy for localized prostatic adenocarcinoma. Int J Radiat Oncol Biol Phys 20:439-446, 1991 Downloaded from jco.ascopubs.org on September 9, 2014. For personal use only. No other uses without permission. Copyright © 2003 American Society of Clinical Oncology. All rights reserved. 9. Albertsen PC, Hanley JA, Gleason DF, et al: Competing risk analysis of men aged 55 to 74 years at diagnosis managed conservatively for clinically localized prostate cancer. JAMA 280:975-980, 1998 10. Walsh PC: The natural history of localized prostate cancer: A guide to therapy, in Walsh PC, Retik AB, Vaughan ED, et al (eds): Campbell’s Urology (ed 7). Philadelphia, PA, W.B. Saunders, 1998, pp 2539-2546 11. Manton KG, Vaupel JW: Survival after the age of 80 in the United States, Sweden, France, England, and Japan. N Engl J Med 333:1232-1235, 1995 12. Nam RK, Jewett MAS, Krahn MD: Prostate cancer: 2. Natural history. Can Med Assoc J 159:685-691, 1998 13. Partin AW, Kattan MW, Subong EN, et al: Combination of prostatespecific antigen, clinical stage, and Gleason score to predict pathological stage of localized prostate cancer: A multi-institutional update. JAMA 277:1445-1451, 1997 14. Kattan MW, Zelefsky MJ, Kupelian PA, et al: Pretreatment nomogram for predicting the outcome of three-dimensional conformal radiotherapy in prostate cancer. J Clin Oncol 18:3352-3359, 2000 15. Alibhai SMH, Krahn MD, Cohen MM, et al: Older patients receive less aggressive treatment for clinically localized prostate cancer. Clin Invest Med 23:332, 2000 (abstr) 16. Potosky AL, Merrill RM, Riley GF, et al: Prostate cancer treatment and ten-year survival among group/staff HMO and fee-for-service Medicare patients. Health Serv Res 34:525-546, 1999 17. Yan Y, Carvalhal GF, Catalona WJ, et al: Primary treatment choices for men with clinically localized prostate carcinoma detected by screening. Cancer 88:1122-1130, 2000 18. Bubolz T, Wasson JH, Lu-Yao G, et al: Treatments for prostate cancer in older men: 1984-1997. Urology 58:977-982, 2001 19. Bennett CL, Greenfield S, Aronow H, et al: Patterns of care related to age of men with prostate cancer. Cancer 67:2633-2641, 1991 20. Fleming C, Wasson JH, Albertsen PC, et al: A decision analysis of alternative treatment strategies for clinically localized prostate cancer: Prostate Patient Outcomes Research Team. JAMA 269:2650-2658, 1993 21. Kattan MW, Cowen ME, Miles BJ: A decision analysis for treatment of clinically localized prostate cancer. J Gen Intern Med 12:299-305, 1997 22. Walsh PC: A decision analysis of alternative treatment strategies for clinically localized prostate cancer. J Urol 150:1330-1332, 1993 23. Leibel SA, Zelefsky MJ, Kutcher GJ, et al: The biological basis and clinical application of three-dimensional conformal external beam radiation therapy in carcinoma of the prostate. Semin Oncol 21:580-597, 1994 24. Hanks GE, Hanlon AL, Schultheiss TE, et al: Dose escalation with 3D conformal treatment: Five year outcomes, treatment optimization, and future directions. Int J Radiat Oncol Biol Phys 41:501-510, 1998 25. Zelefsky MJ, Leibel SA, Gaudin PB, et al: Dose escalation with three-dimensional conformal radiation therapy affects the outcome in prostate cancer. Int J Radiat Oncol Biol Phys 41:491-500, 1998 26. Trachtenberg J, Crook J, Tannock IF: Prostate cancer: 11. Alternative approaches and the future of treatment. Can Med Assoc J 160:528-534, 1999 27. Cowen ME, Chartrand M, Weitzel WF: A Markov model of the natural history of prostate cancer. J Clin Epidemiol 47:3-21, 1994 28. Gleason DF, Mellinger GT: Prediction of prognosis for prostatic adenocarcinoma by combined histological grading and clinical staging. J Urol 111:58-64, 1974 29. Gleave ME, Bruchovsky N, Moore MJ, et al: Prostate cancer: 9. Treatment of advanced disease. Can Med Assoc J 160:225-232, 1999 30. Statistics Canada: Life tables, Canada and Provinces. Health Rep 2:17, 1990 (Suppl 13) 31. Pound CR, Partin AW, Eisenberger MA, et al: Natural history of progression after PSA elevation following radical prostatectomy. JAMA 281:1591-1597, 1999 32. Leibman BD, Dillioglugil O, Wheeler TM, et al: Distant metastasis after radical prostatectomy in patients without an elevated serum prostate specific antigen level. Cancer 76:2530-2534, 1995 33. Lu-Yao GL, Yao S-L: Population-based study of long-term survival in patients with clinically localised prostate cancer. Lancet 349:906-910, 1997 ALIBHAI ET AL OPTIMAL TREATMENT OF LOCALIZED PROSTATE CANCER 76. Krumins PE, Fihn SD, Kent DL: Symptom severity and patients’ values in the decision to perform a transurethral resection of the prostate. Med Decis Making 8:1-8, 1988 77. Krahn MD, Mahoney JE, Eckman MH, et al: Screening for prostate cancer: A decision analytic view. JAMA 272:773-780, 1994 78. Cantor SB, Spann SJ, Volk RJ, et al: Prostate cancer screening: A decision analysis. J Fam Pract 41:33-41, 1995 79. Yoshimura N, Takami N, Ogawa O, et al: Decision analysis for treatment of early stage prostate cancer. Jpn J Cancer Res 89:681-689, 1998 80. Goldenberg SL, Ramsey EW, Jewett MAS: Prostate cancer: 6. Surgical treatment of localized disease. Can Med Assoc J 159:1265-1271, 1998 81. Warde P, Catton C, Gospodarowicz MK: Prostate cancer: 7. Radiation therapy for localized disease. Can Med Assoc J 159:1381-1388, 1998 82. Albertsen PC, Fryback DG, Storer BE, et al: The impact of comorbidity on life expectancy among men with localized prostate cancer. J Urol 156:127-132, 1996 83. Greenfield S, Apolone G, McNeil BJ, et al: The importance of coexistent disease in the occurrence of postoperative complications and one-year recovery in patients undergoing total hip replacement. Med Care 31:141-154, 1993 84. Detsky AS, Abrams HB, Forbath N, et al: Cardiac assessment for patients undergoing noncardiac surgery: A multifactorial clinical risk index. Arch Intern Med 146:2131-2134, 1986 85. Minino AM, Smith BL: Deaths: Preliminary data for 2000. Natl Vital Stat Rep 49:1-40, 2001 86. Klima MP, Povysil C, Teasdale TA: Causes of death in geriatric patients: A cross-cultural study. J Gerontol A Biol Sci Med Sci 52: M247-M253, 1997 87. Naimark D, Naglie G, Detsky AS: The meaning of life expectancy: What is clinically significant gain? J Gen Intern Med 9:702-707, 1994 88. Savage P, Bates C, Abel P, et al: British urological surgery practice: 1. Prostate cancer. Br J Urol 79:749-755, 1997 89. Krahn MD, Bremner KE, Asaria J, et al: The ten-year rule revisited: Accuracy of clinicians’ estimates of life expectancy in patients with localized prostate cancer. Urology 60:258-263, 2002 90. Mazur DJ, Hickam DH: Patient preferences for management of localized prostate cancer. West J Med 165:26-30, 1996 91. Singer PA, Tasch ES, Stocking C, et al: Sex or survival: Trade-offs between quality and quantity of life. J Clin Oncol 9:328-334, 1991 92. Walsh PC, Donker PJ: Impotence following radical prostatectomy: Insight into etiology and prevention. J Urol 128:492-497, 1982 93. Wilt TJ, Brawer MK: The Prostate Cancer Intervention Versus Observation Trial: A randomization trial comparing radical prostatectomy versus expectant management for the treatment of clinically localized prostate cancer. J Urol 152:1910-1914, 1994 94. Zelefsky MJ, Wallner KE, Ling CC, et al: Comparison of the 5-year outcome and morbidity of three-dimensional conformal radiotherapy versus transperineal permanent iodine-125 implantation for early-stage prostatic cancer. J Clin Oncol 17:517-522, 1999 95. Green GA, Hanlon AL, Al-Saleem T, et al: A Gleason score of 7 predicts a worse outcome for prostate carcinoma patients treated with radiotherapy. Cancer 83:971-976, 1998 96. D’Amico AV, Whittington R, Malkowicz SB, et al: Biochemical outcome after radical prostatectomy, external beam radiation therapy, or interstitial radiation therapy for clinically localized prostate cancer. JAMA 280:969-974, 1998 97. Stamey TA, McNeal JE, Yemoto CM, et al: Biological determinants of cancer progression in men with prostate cancer. JAMA 281:1395-1400, 1999 98. Yang XJ, Lecksell K, Potter SR, et al: Significance of small foci of Gleason score 7 or greater prostate cancer on needle biopsy. Urology 54:528-532, 1999 Downloaded from jco.ascopubs.org on September 9, 2014. For personal use only. No other uses without permission. Copyright © 2003 American Society of Clinical Oncology. All rights reserved. 55. Aygun C, Blum J, Stark L: Long-term clinical and prostate-specific antigen follow-up in 500 patients treated with radiation therapy for localized prostate cancer. Maryland Med J 44:363-368, 1995 56. Fukunaga-Johnson N, Sandler HM, McLaughlin PW, et al: Results of 3D conformal radiotherapy in the treatment of localized prostate cancer. Int J Radiat Oncol Biol Phys 38:311-317, 1997 57. Shrader-Bogen CL, Kjellberg JL, McPherson CP, et al: Quality of life and treatment outcomes. Cancer 79:1977-1986, 1997 58. Diokno AC, Brown MB, Herzog AR: Sexual function in the elderly. Arch Intern Med 150:197-200, 1990 59. Maggi S, Minicuci N, Langlois J, et al: Prevalence rate of urinary incontinence in community-dwelling elderly individuals: The Veneto study. J Gerontol A Biol Sci Med Sci 56:M14-M18, 2001 60. Krahn MD, Ritvo P, Naglie G, et al: Construction of PORPUS (Patient Oriented Prostate Utility Scale): An Empirically Derived Multiattribute Health State Classification System for Prostate Cancer. J Clin Epidemiol 53:920-930, 2000 61. Cantor SB, Volk RJ, Krahn MD, et al: Couples’ preferences for prostate cancer health states. Med Decis Making 19:537, 1999 (abstr) 62. Volk RJ, Cantor SB, Spann SJ, et al: Preferences of husbands and wives for prostate cancer screening. Arch Fam Med 6:72-76, 1997 63. Bennett CL, Chapman G, Elstein AS, et al: A comparison of perspectives on prostate cancer: Analysis of utility assessments of patients and physicians. Eur Urol 32:86-88, 1997 64. Cowen ME, Cahill D, Kattan MW, et al: The value or utility of prostate cancer states. J Urol 155:376A, 1996 (abstr 261, suppl). 65. Nease RF Jr, Kneeland T, O’Connor GT, et al: Variation in patient utilities for outcomes of the management of chronic stable angina: Implications for clinical practice guidelines—Ischemic Heart Disease Patient Outcomes Research Team JAMA 273:1185-1190, 1995 66. Naglie G, Tansey C, Krahn M: Seniors’ preferences for chronic health states: Utility assessments of heart disease, stroke, and dementia. Med Decis Making 17:521, 1997 (abstr) 67. Hanks GE, Hanlon AL, Pinover WH, et al: Survival advantage for prostate cancer patients treated with high-dose three-dimensional conformal radiotherapy. Cancer J Sci Am 5:152-158, 1999 68. Zelefsky MJ, Fuks Z, Hunt M, et al: High dose radiation delivered by intensity modulated conformal radiotherapy improves the outcome of localized prostate cancer. J Urol 166:876-881, 2001 69. D’Amico AV, Schultz D, Loffredo M, et al: Biochemical outcome following external beam radiation therapy with or without androgen suppression therapy for clinically localized prostate cancer. JAMA 284:12801283, 2000 70. Fiveash JB, Hanks G, Roach M, et al: 3D conformal radiation therapy (3DCRT) for high grade prostate cancer: A multi-institutional review. Int J Radiat Oncol Biol Phys 47:335-342, 2000 71. Kuban DA, El-Mahdi AM, Schellhammer PF: Prostate-specific antigen for pretreatment prediction and posttreatment evaluation of outcome after definitive irradiation for prostate cancer. Int J Radiat Oncol Biol Phys 32:307-316, 1995 72. Krahn M, Ritvo P, Irvine J, et al: Patient and community preferences for outcomes in prostate cancer: Implications for clinical policy. Med Care 41:153-164, 2003 73. Litwin MS, Hays RD, Fink A, et al: The UCLA Prostate Cancer Index: Development, reliability, and validity of a health-related quality of life measure. Med Care 36:1002-1012, 1998 74. Beck JR, Scardino PT: How useful are models of natural history in clinical decision making and clinical research? J Clin Epidemiol 47:1-2, 1994 75. Cowen ME, Miles BJ, Cahill DF, et al: The danger of applying group-level utilities in decision analyses of the treatment of localized prostate cancer in individual patients. Med Decis Making 18:376-380, 1998 3327
© Copyright 2024