Literature DB >> 7798064

Prostate cancer screening: a decision analysis.

S B Cantor1, S J Spann, R J Volk, M P Cardenas, M M Warren.   

Abstract

BACKGROUND: The issue of whether to screen men for prostate cancer is controversial. No randomized clinical trials have been completed to confirm the efficacy of screening for prostate cancer. We created a mathematical model of the clinical risks and benefits of screening for prostate cancer.
METHODS: A Markov decision-analytic model evaluated the outcomes of annually screening asymptomatic men for prostate cancer beginning at age 50 years. The screening and testing algorithm included the digital rectal examination, transrectal ultrasound, and prostate-specific antigen test. A sample of 10 male patients with no history of prostate disease were interviewed to assess their utilities (preferences) regarding the various adverse outcomes of prostate cancer treatment.
RESULTS: The model indicated that no screening was preferred to screening when patients' utilities were considered (24.14 vs 23.47 quality-adjusted life years expected). The optimal decision was sensitive to the utilities of impotence and urethral stricture, the most common adverse outcomes for patients under the age of 65 years. When adverse outcomes of treatment were ignored, screening was favored (24.86 vs 24.22 years of life expectancy.
CONCLUSIONS: When quality-of-life preferences of men are considered, the annual screening of asymptomatic patients for prostate cancer is not recommended.

Entities:  

Mesh:

Year:  1995        PMID: 7798064

Source DB:  PubMed          Journal:  J Fam Pract        ISSN: 0094-3509            Impact factor:   0.493


  10 in total

1.  Prostate cancer: 12. The economic burden.

Authors:  S A Grover; H Zowall; L Coupal; M D Krahn
Journal:  CMAJ       Date:  1999-03-09       Impact factor: 8.262

2.  Concordance of couples' prostate cancer screening recommendations from a decision analysis.

Authors:  Scott B Cantor; Robert J Volk; Murray D Krahn; Alvah R Cass; Jawaria Gilani; Susan C Weller; Stephen J Spann
Journal:  Patient       Date:  2008-01-01       Impact factor: 3.883

Review 3.  How well do guidelines incorporate evidence on patient preferences?

Authors:  Christopher A K Y Chong; Ing-je Chen; Gary Naglie; Murray D Krahn
Journal:  J Gen Intern Med       Date:  2009-04-23       Impact factor: 5.128

4.  African-American males and prostate cancer: assessing knowledge levels in the community.

Authors:  G E Smith; M J DeHaven; J P Grundig; G R Wilson
Journal:  J Natl Med Assoc       Date:  1997-06       Impact factor: 1.798

5.  Responsiveness of disease-specific and generic utility instruments in prostate cancer patients.

Authors:  Murray Krahn; Karen E Bremner; George Tomlinson; Paul Ritvo; Jane Irvine; Gary Naglie
Journal:  Qual Life Res       Date:  2006-11-08       Impact factor: 4.147

6.  Agreement between prostate cancer patients and their clinicians about utilities and attribute importance.

Authors:  Arthur S Elstein; Gretchen B Chapman; Joan S Chmiel; Sara J Knight; Cheeling Chan; Robert B Nadler; Timothy M Kuzel; Amy K Siston; Charles L Bennett
Journal:  Health Expect       Date:  2004-06       Impact factor: 3.377

7.  Preferences of husbands and wives for outcomes of prostate cancer screening and treatment.

Authors:  Robert J Volk; Scott B Cantor; Alvah R Cass; Stephen J Spann; Susan C Weller; Murray D Krahn
Journal:  J Gen Intern Med       Date:  2004-04       Impact factor: 5.128

8.  Lack of comprehension of common prostate cancer terms in an underserved population.

Authors:  Kerry L Kilbridge; Gertrude Fraser; Murray Krahn; Elizabeth M Nelson; Mark Conaway; Randall Bashore; Andrew Wolf; Michael J Barry; Debra A Gong; Robert F Nease; Alfred F Connors
Journal:  J Clin Oncol       Date:  2009-03-23       Impact factor: 44.544

9.  Benefits and harms of prostate cancer screening - predictions of the ONCOTYROL prostate cancer outcome and policy model.

Authors:  Nikolai Mühlberger; Kristijan Boskovic; Murray D Krahn; Karen E Bremner; Willi Oberaigner; Helmut Klocker; Wolfgang Horninger; Gaby Sroczynski; Uwe Siebert
Journal:  BMC Public Health       Date:  2017-06-26       Impact factor: 3.295

10.  Effectiveness and cost-effectiveness of prognostic markers in prostate cancer.

Authors:  N W Calvert; A B Morgan; J W F Catto; F C Hamdy; R L Akehurst; P Mouncey; S Paisley
Journal:  Br J Cancer       Date:  2003-01-13       Impact factor: 7.640

  10 in total

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