Literature DB >> 22335873

Active surveillance versus surgery for low risk prostate cancer: a clinical decision analysis.

David Liu1, Harold P Lehmann, Kevin D Frick, H Ballentine Carter.   

Abstract

PURPOSE: We assessed the effect of age, health status and patient preferences on outcomes of surgery vs active surveillance for low risk prostate cancer.
MATERIALS AND METHODS: We used Monte Carlo simulation of Markov models of the life courses of 200,000 men diagnosed with low risk prostate cancer and treated with surveillance or radical prostatectomy to calculate quality adjusted life expectancy, life expectancy, prostate cancer specific mortality and years of treatment side effects, with model parameters derived from the literature. We simulated outcomes for men 50 to 75 years old with poor, average or excellent health status (50%, 100% and 150% of average life expectancy, respectively). Sensitivity of outcomes to uncertainties in model parameters was tested.
RESULTS: For 65-year-old men in average health, surgery resulted in 0.3 additional years of life expectancy, 1.6 additional years of impotence or incontinence and a 4.9% decrease in prostate cancer specific mortality compared to surveillance, for a net difference of 0.05 fewer quality adjusted life years. Increased age and poorer baseline health status favored surveillance. With greater than 95% probability, surveillance resulted in net benefits compared to surgery for age older than 74, 67 and 54 years for men in excellent, average and poor health, respectively. Patient preferences toward life under surveillance, biochemical recurrence of disease, treatment side effects and future discount rate affected optimal management choice.
CONCLUSIONS: Older men and men in poor health are likely to have better quality adjusted life expectancy with active surveillance. However, specific individual preferences impact optimal choices and should be a primary consideration in shared decision making. Copyright Â
© 2012 American Urological Association Education and Research, Inc. Published by Elsevier Inc. All rights reserved.

Entities:  

Mesh:

Year:  2012        PMID: 22335873      PMCID: PMC3952430          DOI: 10.1016/j.juro.2011.12.015

Source DB:  PubMed          Journal:  J Urol        ISSN: 0022-5347            Impact factor:   7.450


  22 in total

1.  Use of second treatment following definitive local therapy for prostate cancer: data from the caPSURE database.

Authors:  G D Grossfeld; D M Stier; S C Flanders; J M Henning; W Schonfeld; K Warolin; P R Carroll
Journal:  J Urol       Date:  1998-10       Impact factor: 7.450

2.  Probabilistic sensitivity analysis using Monte Carlo simulation. A practical approach.

Authors:  P Doubilet; C B Begg; M C Weinstein; P Braun; B J McNeil
Journal:  Med Decis Making       Date:  1985       Impact factor: 2.583

3.  A decision analysis for treatment of clinically localized prostate cancer.

Authors:  M W Kattan; M E Cowen; B J Miles
Journal:  J Gen Intern Med       Date:  1997-05       Impact factor: 5.128

4.  A decision analysis of alternative treatment strategies for clinically localized prostate cancer. Prostate Patient Outcomes Research Team.

Authors:  C Fleming; J H Wasson; P C Albertsen; M J Barry; J E Wennberg
Journal:  JAMA       Date:  1993-05-26       Impact factor: 56.272

5.  Prostate cancer-specific survival following salvage radiotherapy vs observation in men with biochemical recurrence after radical prostatectomy.

Authors:  Bruce J Trock; Misop Han; Stephen J Freedland; Elizabeth B Humphreys; Theodore L DeWeese; Alan W Partin; Patrick C Walsh
Journal:  JAMA       Date:  2008-06-18       Impact factor: 56.272

6.  Decision analysis using individual patient preferences to determine optimal treatment for localized prostate cancer.

Authors:  Benjamin D Sommers; Clair J Beard; Anthony V D'Amico; Douglas Dahl; Irving Kaplan; Jerome P Richie; Richard J Zeckhauser
Journal:  Cancer       Date:  2007-11-15       Impact factor: 6.860

7.  A critique of the decision analysis for clinically localized prostate cancer.

Authors:  J R Beck; M W Kattan; B J Miles
Journal:  J Urol       Date:  1994-11       Impact factor: 7.450

8.  Biochemical outcome after radical prostatectomy, external beam radiation therapy, or interstitial radiation therapy for clinically localized prostate cancer.

Authors:  A V D'Amico; R Whittington; S B Malkowicz; D Schultz; K Blank; G A Broderick; J E Tomaszewski; A A Renshaw; I Kaplan; C J Beard; A Wein
Journal:  JAMA       Date:  1998-09-16       Impact factor: 56.272

9.  Follow-up prostate cancer treatments after radical prostatectomy: a population-based study.

Authors:  G L Lu-Yao; A L Potosky; P C Albertsen; J H Wasson; M J Barry; J E Wennberg
Journal:  J Natl Cancer Inst       Date:  1996-02-21       Impact factor: 13.506

10.  Pathological features after radical prostatectomy in potential candidates for active monitoring.

Authors:  Christopher R Griffin; Xiaoying Yu; Stacy Loeb; Vic N Desireddi; Misop Han; Theresa Graif; William J Catalona
Journal:  J Urol       Date:  2007-07-16       Impact factor: 7.450

View more
  11 in total

1.  African-American Men with Low-Risk Prostate Cancer: Modern Treatment and Outcome Trends.

Authors:  Augustine C Obirieze; Ambria Moten; Delenya Allen; Chiledum A Ahaghotu
Journal:  J Racial Ethn Health Disparities       Date:  2014-12-16

2.  Active Surveillance Versus Watchful Waiting for Localized Prostate Cancer: A Model to Inform Decisions.

Authors:  Stacy Loeb; Qinlian Zhou; Uwe Siebert; Ursula Rochau; Beate Jahn; Nikolai Mühlberger; H Ballentine Carter; Herbert Lepor; R Scott Braithwaite
Journal:  Eur Urol       Date:  2017-08-23       Impact factor: 20.096

3.  Active surveillance for prostate cancer: an underutilized opportunity for reducing harm.

Authors:  H Ballentine Carter
Journal:  J Natl Cancer Inst Monogr       Date:  2012-12

4.  The clinical decision analysis using decision tree.

Authors:  Jong-Myon Bae
Journal:  Epidemiol Health       Date:  2014-10-30

5.  Applying precision medicine to the active surveillance of prostate cancer.

Authors:  Chad A Reichard; Andrew J Stephenson; Eric A Klein
Journal:  Cancer       Date:  2015-07-06       Impact factor: 6.860

6.  Health state utilities among contemporary prostate cancer patients on active surveillance.

Authors:  Stacy Loeb; Caitlin Curnyn; Dawn Walter; Angela Fagerlin; Uwe Siebert; Nick Mühlberger; R Scott Braithwaite; Mark D Schwartz; Herbert Lepor; Erica Sedlander
Journal:  Transl Androl Urol       Date:  2018-04

7.  Are more low-risk prostate cancers detected by repeated biopsy? A retrospective pilot study.

Authors:  Seung Je Lee; Insang Hwang; Eu Chang Hwang; Seung Il Jung; Taek Won Kang; Dong Deuk Kwon; Kwangsung Park
Journal:  Korean J Urol       Date:  2013-06-12

8.  Human chorionic gonadotropin β induces migration and invasion via activating ERK1/2 and MMP-2 in human prostate cancer DU145 cells.

Authors:  Zongwen Li; Chunliu Li; Lianlian Du; Yan Zhou; Wei Wu
Journal:  PLoS One       Date:  2013-02-12       Impact factor: 3.240

9.  The cost-utility of open prostatectomy compared with active surveillance in early localised prostate cancer.

Authors:  Florian Koerber; Raphaela Waidelich; Björn Stollenwerk; Wolf Rogowski
Journal:  BMC Health Serv Res       Date:  2014-04-10       Impact factor: 2.655

10.  Can Prostate-Specific Antigen Kinetics before Prostate Biopsy Predict the Malignant Potential of Prostate Cancer?

Authors:  Sang Jin Kim; Tae Yoong Jeong; Dae Seon Yoo; Jinsung Park; Seok Cho; Seok Ho Kang; Sang Hyub Lee; Seung Hyun Jeon; Tchun Yong Lee; Sung Yul Park
Journal:  Yonsei Med J       Date:  2015-11       Impact factor: 2.759

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.