Literature DB >> 11828352

Prostate cancer incidence, mortality, and survival trends in the United States: 1981-2001.

Aruna V Sarma1, David Schottenfeld.   

Abstract

The increased use of prostate-specific antigen (PSA) in screening for preclinical disease after 1985 is thought to be a major determinant of the changing patterns in prostate cancer incidence; however, the long-term effect of screening on future trends in mortality and survival is uncertain. This article reviews the temporal trends (1981-1998) for prostate cancer incidence, mortality, and survival, and projects prostate cancer incidence and mortality rates for 1999 to 2001. Autoregressive, quadratic, time-series models were used to describe prostate cancer mortality rates in the US population and prostate cancer incidence rates derived from the National Cancer Institute's (NCI) Surveillance, Epidemiology and End Results (SEER) program. These models were based on data collected from 1979 through 1998, with forecasts produced for 1999 to 2001. Prostate cancer incidence increased steadily from 1981 to 1989, with a steep increase in the early 1990s, followed by a decline. Incidence rates were forecasted to remain stable through the year 2001. Mortality rates decreased steadily and were forecasted to continue to decrease concurrently with increasing 5- and 10-year relative survival rates. The incidence, mortality, and survival trends were comparable in US blacks, who exhibited on average 2-fold higher mortality and 50% higher incidence than whites. Decreasing prostate cancer mortality and increasing relative survival trends in the United States were described after the introduction of PSA screening. However, the exaggerated rate of increase in the early 1990s in prostate cancer incidence was transient and likely a result of increased detection of preclinical disease that was prevalent in the general population. Copyright 2002 by W.B. Saunders Company

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Year:  2002        PMID: 11828352     DOI: 10.1053/suro.2002.30390

Source DB:  PubMed          Journal:  Semin Urol Oncol        ISSN: 1081-0943


  18 in total

Review 1.  [Chemoprevention of prostate cancer].

Authors:  B Djavan; I Thompson; M S Michel; M Waldert; C Seitz
Journal:  Urologe A       Date:  2004-05       Impact factor: 0.639

2.  Could choline PET play a role in malignancies other than prostate cancer?

Authors:  Cristina Nanni; Domenico Rubello; Stefano Fanti
Journal:  Eur J Nucl Med Mol Imaging       Date:  2007-09-26       Impact factor: 9.236

3.  11C/ 18F-choline PET or 11C/18F-acetate PET in prostate cancer: may a choice be recommended?

Authors:  Cristina Nanni; Paolo Castellucci; Mohsen Farsad; Domenico Rubello; Stefano Fanti
Journal:  Eur J Nucl Med Mol Imaging       Date:  2007-10       Impact factor: 9.236

4.  Value of 11C-choline PET and PET/CT in patients with suspected prostate cancer.

Authors:  Bernhard Scher; Michael Seitz; Wolfram Albinger; Reinhold Tiling; Michael Scherr; Hans-Christoph Becker; Michael Souvatzogluou; Franz-Josef Gildehaus; Hans-Jürgen Wester; Stefan Dresel
Journal:  Eur J Nucl Med Mol Imaging       Date:  2006-08-24       Impact factor: 9.236

Review 5.  Age-related racial disparities in prostate cancer patients: A systematic review.

Authors:  Ting He; C Daniel Mullins
Journal:  Ethn Health       Date:  2016-10-05       Impact factor: 2.772

6.  In vivo uptake of [11C]choline does not correlate with cell proliferation in human prostate cancer.

Authors:  Anthonius J Breeuwsma; Jan Pruim; Maud M Jongen; Albert J Suurmeijer; Wim Vaalburg; Rien J Nijman; Igle J de Jong
Journal:  Eur J Nucl Med Mol Imaging       Date:  2005-03-12       Impact factor: 9.236

7.  Recent time trends in the epidemiology of stage IV prostate cancer in the United States: analysis of data from the Surveillance, Epidemiology, and End Results Program.

Authors:  Karynsa Cetin; Jennifer L Beebe-Dimmer; Jon P Fryzek; Richard Markus; Michael A Carducci
Journal:  Urology       Date:  2009-12-06       Impact factor: 2.649

8.  Multilevel Factors Associated With Overall Mortality for Men Diagnosed With Prostate Cancer in Florida.

Authors:  Hong Xiao; Fei Tan; Pierre Goovaerts; Askal Ali; Georges Adunlin; Clement K Gwede; Youjie Huang
Journal:  Am J Mens Health       Date:  2013-12-01

9.  Simple models improve the discrimination of prostate cancers from the peripheral gland by T1-weighted dynamic MRI.

Authors:  Fabian Kiessling; Matthias Lichy; Rainer Grobholz; Melanie Heilmann; Nabeel Farhan; Maurice Stephan Michel; Lutz Trojan; Joerg Ederle; Ulrich Abel; Hans-Ulrich Kauczor; Wolfhard Semmler; Stefan Delorme
Journal:  Eur Radiol       Date:  2004-06-30       Impact factor: 5.315

10.  Bayesian inference for the stereotype regression model: Application to a case-control study of prostate cancer.

Authors:  Jaeil Ahn; Bhramar Mukherjee; Mousumi Banerjee; Kathleen A Cooney
Journal:  Stat Med       Date:  2009-11-10       Impact factor: 2.373

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