Literature DB >> 23720006

The Prostate Cancer Prevention Trial risk calculator and the relationship between prostate-specific antigen and biopsy outcome.

Andrew J Vickers1, Daniel D Sjoberg, Donna P Ankerst, Catherine M Tangen, Phyllis J Goodman, Ian M Thompson.   

Abstract

BACKGROUND: The Prostate Cancer Prevention Trial (PCPT) Risk Calculator is a widely used prediction tool for aiding decisions about biopsy for prostate cancer. This study hypothesized that recently reported differences between predictions from the model and findings from other cohorts were due to how prostate-specific antigen (PSA) was entered into the statistical model, and to the inclusion of protocol end-of-study biopsies for which there was no clinical indication.
METHODS: Data was obtained from the 5088 PCPT participants and was used to construct the PCPT Risk Calculator. The relationship between PSA and the risk of a positive biopsy was modeled by using locally-weighted regression (lowess), an empirical estimate of actual risks observed which does not depend on a statistical model. Risks were estimated with and without the 3514 end-of-study biopsies.
RESULTS: For PSA levels above biopsy thresholds (∼4 ng/mL), the PCPT Risk Calculator greatly overestimated actual empirical risks (eg, 44% versus 26% at 5 ng/mL). The change in risk with increasing PSA was less among for-cause biopsies compared with the end-of-study biopsies (P = .001). Risk of high-grade disease was overestimated at PSA level of ≥ 6 ng/mL.
CONCLUSIONS: The PCPT Risk Calculator overestimates risks for PSAs close to and above typical biopsy thresholds. Separating for-cause biopsies from end-of-study biopsies and using empirical rather than model-based risks reduces overall risk estimates and replicates prior findings that, in men who have been screened with PSA, there is no rapid increase in prostate cancer risk with higher PSA. Revision of the PCPT Risk Calculator should be considered.
Copyright © 2013 American Cancer Society.

Entities:  

Keywords:  biopsy; early detection; prostate cancer; risk prediction; statistical design

Mesh:

Substances:

Year:  2013        PMID: 23720006      PMCID: PMC3735626          DOI: 10.1002/cncr.28114

Source DB:  PubMed          Journal:  Cancer        ISSN: 0008-543X            Impact factor:   6.860


  8 in total

1.  Assessing prostate cancer risk: results from the Prostate Cancer Prevention Trial.

Authors:  Ian M Thompson; Donna Pauler Ankerst; Chen Chi; Phyllis J Goodman; Catherine M Tangen; M Scott Lucia; Ziding Feng; Howard L Parnes; Charles A Coltman
Journal:  J Natl Cancer Inst       Date:  2006-04-19       Impact factor: 13.506

2.  The relationship between prostate-specific antigen and prostate cancer risk: the Prostate Biopsy Collaborative Group.

Authors:  Andrew J Vickers; Angel M Cronin; Monique J Roobol; Jonas Hugosson; J Stephen Jones; Michael W Kattan; Eric Klein; Freddie Hamdy; David Neal; Jenny Donovan; Dipen J Parekh; Donna Ankerst; George Bartsch; Helmut Klocker; Wolfgang Horninger; Amine Benchikh; Gilles Salama; Arnauld Villers; Steve J Freedland; Daniel M Moreira; Fritz H Schröder; Hans Lilja
Journal:  Clin Cancer Res       Date:  2010-08-24       Impact factor: 12.531

3.  Prospective multi-institutional study evaluating the performance of prostate cancer risk calculators.

Authors:  Robert K Nam; Michael W Kattan; Joseph L Chin; John Trachtenberg; Rajiv Singal; Ricardo Rendon; Laurence H Klotz; Linda Sugar; Christopher Sherman; Jonathan Izawa; David Bell; Aleksandra Stanimirovic; Vasundara Venkateswaran; Eleftherios P Diamandis; Changhong Yu; D Andrew Loblaw; Steven A Narod
Journal:  J Clin Oncol       Date:  2011-06-20       Impact factor: 44.544

4.  External validation of the Prostate Cancer Prevention Trial risk calculator in a screened population.

Authors:  Dipen J Parekh; Donna Pauler Ankerst; Betsy A Higgins; Javier Hernandez; Edith Canby-Hagino; Timothy Brand; Dean A Troyer; Robin J Leach; Ian M Thompson
Journal:  Urology       Date:  2006-12       Impact factor: 2.649

5.  Validation in a multiple urology practice cohort of the Prostate Cancer Prevention Trial calculator for predicting prostate cancer detection.

Authors:  Stephen J Eyre; Donna P Ankerst; John T Wei; Prakash V Nair; Meredith M Regan; Gerrardina Bueti; Jeffrey Tang; Mark A Rubin; Michael Kearney; Ian M Thompson; Martin G Sanda
Journal:  J Urol       Date:  2009-12       Impact factor: 7.450

6.  Prostate-specific antigen velocity for early detection of prostate cancer: result from a large, representative, population-based cohort.

Authors:  Andrew J Vickers; Tineke Wolters; Caroline J Savage; Angel M Cronin; M Frank O'Brien; Kim Pettersson; Monique J Roobol; Gunnar Aus; Peter T Scardino; Jonas Hugosson; Fritz H Schröder; Hans Lilja
Journal:  Eur Urol       Date:  2009-08-07       Impact factor: 20.096

Review 7.  Systematic review of pretreatment prostate-specific antigen velocity and doubling time as predictors for prostate cancer.

Authors:  Andrew J Vickers; Caroline Savage; M Frank O'Brien; Hans Lilja
Journal:  J Clin Oncol       Date:  2008-12-08       Impact factor: 44.544

8.  Evaluating the PCPT risk calculator in ten international biopsy cohorts: results from the Prostate Biopsy Collaborative Group.

Authors:  Donna P Ankerst; Andreas Boeck; Stephen J Freedland; Ian M Thompson; Angel M Cronin; Monique J Roobol; Jonas Hugosson; J Stephen Jones; Michael W Kattan; Eric A Klein; Freddie Hamdy; David Neal; Jenny Donovan; Dipen J Parekh; Helmut Klocker; Wolfgang Horninger; Amine Benchikh; Gilles Salama; Arnauld Villers; Daniel M Moreira; Fritz H Schröder; Hans Lilja; Andrew J Vickers
Journal:  World J Urol       Date:  2011-12-31       Impact factor: 4.226

  8 in total
  7 in total

Review 1.  Gleason 6 Prostate Cancer: Translating Biology into Population Health.

Authors:  Scott E Eggener; Ketan Badani; Daniel A Barocas; Glen W Barrisford; Jed-Sian Cheng; Arnold I Chin; Anthony Corcoran; Jonathan I Epstein; Arvin K George; Gopal N Gupta; Matthew H Hayn; Eric C Kauffman; Brian Lane; Michael A Liss; Moben Mirza; Todd M Morgan; Kelvin Moses; Kenneth G Nepple; Mark A Preston; Soroush Rais-Bahrami; Matthew J Resnick; M Minhaj Siddiqui; Jonathan Silberstein; Eric A Singer; Geoffrey A Sonn; Preston Sprenkle; Kelly L Stratton; Jennifer Taylor; Jeffrey Tomaszewski; Matt Tollefson; Andrew Vickers; Wesley M White; William T Lowrance
Journal:  J Urol       Date:  2015-04-04       Impact factor: 7.450

Review 2.  Risk calculators and updated tools to select and plan a repeat biopsy for prostate cancer detection.

Authors:  Igor Sorokin; Badar M Mian
Journal:  Asian J Androl       Date:  2015 Nov-Dec       Impact factor: 3.285

3.  Characteristics of prostate cancer detection rate (PCDR) in Chinese Han population under different prostate biopsy methods.

Authors:  Yongsheng Pan; Bianjiang Liu; Yuan Huang; Jun Wang; Xiao Li; Cheng Zhang; Jie Wu; Yuxiao Zheng; Chao Qin; Gong Cheng; Lixin Hua; Zengjun Wang
Journal:  Oncotarget       Date:  2017-05-16

4.  Evaluation of PSA-age volume score in predicting prostate cancer in Chinese population.

Authors:  Yi-Shuo Wu; Xiao-Bo Wu; Ning Zhang; Guang-Liang Jiang; Yang Yu; Shi-Jun Tong; Hao-Wen Jiang; Shan-Hua Mao; Rong Na; Qiang Ding
Journal:  Asian J Androl       Date:  2018 Jul-Aug       Impact factor: 3.285

5.  The influence of prostate volume on cancer detection in the Chinese population.

Authors:  Yi-Shuo Wu; Rong Na; Jian-Feng Xu; Pei-De Bai; Hao-Wen Jiang; Qiang Ding
Journal:  Asian J Androl       Date:  2014 May-Jun       Impact factor: 3.285

6.  Socioeconomic determinants of prostate-specific antigen testing and estimation of the prevalence of undiagnosed prostate cancer in an elderly Polish population based on the PolSenior study.

Authors:  Andrzej Prajsner; Jerzy Chudek; Aleksandra Szybalska; Karolina Piotrowicz; Jan Zejda; Andrzej Więcek
Journal:  Arch Med Sci       Date:  2016-06-06       Impact factor: 3.318

7.  The Huashan risk calculators performed better in prediction of prostate cancer in Chinese population: a training study followed by a validation study.

Authors:  Yi-Shuo Wu; Ning Zhang; Sheng-Hua Liu; Jian-Feng Xu; Shi-Jun Tong; Ye-Hua Cai; Li-Min Zhang; Pei-De Bai; Meng-Bo Hu; Hao-Wen Jiang; Rong Na; Qiang Ding; Ying-Hao Sun
Journal:  Asian J Androl       Date:  2016 Nov-Dec       Impact factor: 3.285

  7 in total

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