Literature DB >> 19786680

A model of prostate-specific antigen screening outcomes for low- to high-risk men: information to support informed choices.

Kirsten Howard1, Alex Barratt, Graham J Mann, Manish I Patel.   

Abstract

BACKGROUND: Information is needed to aid individual decision making about prostate-specific antigen (PSA) screening.
METHODS: We aimed to provide such information for men aged 40, 50, 60, and 70 years at low, moderate, and high risk for prostate cancer. A Markov model compared patients with vs without annual PSA screening using a 20% relative risk (RR) reduction (RR = 0.8) in prostate cancer mortality as a best-case scenario. The model estimated numbers of biopsies, prostate cancers, and deaths from prostate cancer per 1000 men over 10 years and cumulated to age 85 years.
RESULTS: Benefits and harms vary substantially with age and familial risk. Using 60-year-old men with low risk as an example, of 1000 men screened annually, we estimate that 115 men will undergo biopsy triggered by an abnormal PSA screen result and that 53 men will be diagnosed as having prostate cancer over 10 years compared with 23 men diagnosed as having prostate cancer among 1000 unscreened men. Among screened men, 3.5 will die of prostate cancer over 10 years compared with 4.4 deaths in unscreened men. For 1000 men screened from 40 to 69 years of age, there will be 27.9 prostate cancer deaths and 639.5 deaths overall by age 85 years compared with 29.9 prostate cancer deaths and 640.4 deaths overall in unscreened men. Higher-risk men have more prostate cancer deaths averted but also more prostate cancers diagnosed and related harms.
CONCLUSIONS: Men should be informed of the likely benefits and harms of PSA screening. These estimates can be used to support individual decision making.

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Year:  2009        PMID: 19786680     DOI: 10.1001/archinternmed.2009.282

Source DB:  PubMed          Journal:  Arch Intern Med        ISSN: 0003-9926


  15 in total

1.  Improving the quality of decision-making processes for prostate cancer screening: progress and challenges.

Authors:  Daniel S Reuland; Michael Pignone
Journal:  JAMA Intern Med       Date:  2013-10-14       Impact factor: 21.873

2.  Early detection of prostate cancer: AUA Guideline.

Authors:  H Ballentine Carter; Peter C Albertsen; Michael J Barry; Ruth Etzioni; Stephen J Freedland; Kirsten Lynn Greene; Lars Holmberg; Philip Kantoff; Badrinath R Konety; Mohammad Hassan Murad; David F Penson; Anthony L Zietman
Journal:  J Urol       Date:  2013-05-06       Impact factor: 7.450

3.  Implications of the new AUA guidelines on prostate cancer detection in the U.S.

Authors:  Matthew R Cooperberg
Journal:  Curr Urol Rep       Date:  2014-07       Impact factor: 3.092

4.  The Effects of Population-based Prostate-specific Antigen Screening Beginning at Age 40.

Authors:  Christopher J Weight; Vikram M Narayan; Daniel Smith; Simon P Kim; R Jeffrey Karnes
Journal:  Urology       Date:  2017-08-24       Impact factor: 2.649

5.  Integrating evidence and individual preferences using a web-based multi-criteria decision analytic tool: an application to prostate cancer screening.

Authors:  Michelle Cunich; Glenn Salkeld; Jack Dowie; Joan Henderson; Clare Bayram; Helena Britt; Kirsten Howard
Journal:  Patient       Date:  2011       Impact factor: 3.883

6.  Reconciling primary care and specialist perspectives on prostate cancer screening.

Authors:  Richard M Hoffman; Michael J Barry; Richard G Roberts; Harold C Sox
Journal:  Ann Fam Med       Date:  2012 Nov-Dec       Impact factor: 5.166

7.  Men's preferences and trade-offs for prostate cancer screening: a discrete choice experiment.

Authors:  Kirsten Howard; Glenn P Salkeld; Manish I Patel; Graham J Mann; Michael P Pignone
Journal:  Health Expect       Date:  2014-11-10       Impact factor: 3.377

8.  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.

Authors:  Anita V Mitra; Elizabeth K Bancroft; Yolanda Barbachano; Elizabeth C Page; C S Foster; C Jameson; G Mitchell; G J Lindeman; A Stapleton; G Suthers; D G Evans; D Cruger; I Blanco; C Mercer; J Kirk; L Maehle; S Hodgson; L Walker; L Izatt; F Douglas; K Tucker; H Dorkins; V Clowes; A Male; A Donaldson; C Brewer; R Doherty; B Bulman; P J Osther; M Salinas; D Eccles; K Axcrona; I Jobson; B Newcombe; C Cybulski; W S Rubinstein; S Buys; S Townshend; E Friedman; S Domchek; T Ramon Y Cajal; A Spigelman; S H Teo; N Nicolai; N Aaronson; A Ardern-Jones; C Bangma; D Dearnaley; J Eyfjord; A Falconer; H Grönberg; F Hamdy; O Johannsson; V Khoo; Z Kote-Jarai; H Lilja; J Lubinski; J Melia; C Moynihan; S Peock; G Rennert; F Schröder; P Sibley; M Suri; P Wilson; Y J Bignon; S Strom; M Tischkowitz; A Liljegren; D Ilencikova; A Abele; K Kyriacou; C van Asperen; L Kiemeney; D F Easton; Rosalind A Eeles
Journal:  BJU Int       Date:  2010-09-14       Impact factor: 5.588

9.  Comparing 3 techniques for eliciting patient values for decision making about prostate-specific antigen screening: a randomized controlled trial.

Authors:  Michael Patrick Pignone; Kirsten Howard; Alison Tytell Brenner; Trisha Melinda Crutchfield; Sarah Tropman Hawley; Carmen Lynn Lewis; Stacey Lynn Sheridan
Journal:  JAMA Intern Med       Date:  2013-03-11       Impact factor: 21.873

Review 10.  How can polygenic inheritance be used in population screening for common diseases?

Authors:  Muin J Khoury; A Cecile J W Janssens; David F Ransohoff
Journal:  Genet Med       Date:  2013-02-14       Impact factor: 8.822

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