Literature DB >> 18319508

Impact of PSA screening on the incidence of advanced stage prostate cancer in the United States: a surveillance modeling approach.

Ruth Etzioni1, Roman Gulati, Seth Falcon, David F Penson.   

Abstract

BACKGROUND: and objective. Both the detection and the treatment of prostate cancer have undergone important clinical advances. Simultaneously, both distant stage incidence and disease-specific mortality have fallen in the United States. A recent study suggests that if prostate-specific antigen (PSA) testing explains the decline in distant stage incidence, then it may be largely responsible for the decline in mortality. The objective was to quantify this link between PSA screening and the decline in distant stage incidence.
METHODS: A fixed-cohort simulation model of prostate cancer progression and screening was adapted to a population-based model that integrates new data on trends in testing and biopsy practices. The model was calibrated to pre-PSA incidence and then screening was superimposed, obtaining incidence projections in the absence and presence of testing. This approach permits calculation of clinically relevant measures for model validation and direct assessment of the role of testing in the distant stage incidence decline.
RESULTS: The model validated well with prior studies of natural history, and the sensitivity analysis indicated that the findings were robust to variation in model parameters. Model results indicate that PSA screening accounts for approximately 80% of the observed decline in distant stage incidence.
CONCLUSIONS: PSA screening contributed to the observed declines in distant stage incidence and mortality in the 1990s. However, additional factors, such as increasing awareness of prostate cancer and advances in treatment, have probably also played a role in these trends.

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Year:  2008        PMID: 18319508     DOI: 10.1177/0272989X07312719

Source DB:  PubMed          Journal:  Med Decis Making        ISSN: 0272-989X            Impact factor:   2.583


  35 in total

1.  Calibrating disease progression models using population data: a critical precursor to policy development in cancer control.

Authors:  Roman Gulati; Lurdes Inoue; Jeffrey Katcher; William Hazelton; Ruth Etzioni
Journal:  Biostatistics       Date:  2010-06-07       Impact factor: 5.899

2.  Optimization of PSA screening policies: a comparison of the patient and societal perspectives.

Authors:  Jingyu Zhang; Brian T Denton; Hari Balasubramanian; Nilay D Shah; Brant A Inman
Journal:  Med Decis Making       Date:  2011-09-20       Impact factor: 2.583

Review 3.  Lifestyle and dietary factors in the prevention of lethal prostate cancer.

Authors:  Kathryn M Wilson; Edward L Giovannucci; Lorelei A Mucci
Journal:  Asian J Androl       Date:  2012-04-16       Impact factor: 3.285

4.  Simulation optimization of PSA-threshold based prostate cancer screening policies.

Authors:  Daniel J Underwood; Jingyu Zhang; Brian T Denton; Nilay D Shah; Brant A Inman
Journal:  Health Care Manag Sci       Date:  2012-12

5.  An examination of the dynamic changes in prostate-specific antigen occurring in a population-based cohort of men over time.

Authors:  Brant A Inman; Jingyu Zhang; Nilay D Shah; Brian T Denton
Journal:  BJU Int       Date:  2012-02-07       Impact factor: 5.588

6.  Expected population impacts of discontinued prostate-specific antigen screening.

Authors:  Roman Gulati; Alex Tsodikov; Ruth Etzioni; Rachel A Hunter-Merrill; John L Gore; Angela B Mariotto; Matthew R Cooperberg
Journal:  Cancer       Date:  2014-07-25       Impact factor: 6.860

7.  Stage shift in PSA-detected prostate cancers - effect modification by Gleason score.

Authors:  Nora Pashayan; Paul Pharoah; David E Neal; Freddie Hamdy; Jenny Donovan; Richard M Martin; David Greenberg; Stephen W Duffy
Journal:  J Med Screen       Date:  2009       Impact factor: 2.136

8.  Is prostate cancer stage migration continuing for black men in the PSA era?

Authors:  R W Dobbs; D T Greenwald; H Wadhwa; V L Freeman; M R Abern
Journal:  Prostate Cancer Prostatic Dis       Date:  2017-01-17       Impact factor: 5.554

9.  Prostate cancer incidence in 43 populations worldwide: An analysis of time trends overall and by age group.

Authors:  Cindy Ke Zhou; David P Check; Joannie Lortet-Tieulent; Mathieu Laversanne; Ahmedin Jemal; Jacques Ferlay; Freddie Bray; Michael B Cook; Susan S Devesa
Journal:  Int J Cancer       Date:  2015-11-27       Impact factor: 7.396

10.  Lead time and overdiagnosis in prostate-specific antigen screening: importance of methods and context.

Authors:  Gerrit Draisma; Ruth Etzioni; Alex Tsodikov; Angela Mariotto; Elisabeth Wever; Roman Gulati; Eric Feuer; Harry de Koning
Journal:  J Natl Cancer Inst       Date:  2009-03-10       Impact factor: 13.506

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