Literature DB >> 31639607

Variations in prostate biopsy recommendation and acceptance confound evaluation of risk factors for prostate cancer: Examining race and BMI.

Catherine M Tangen1, Jeannette Schenk2, Cathee Till3, Phyllis J Goodman3, Wendy Barrington4, M Scott Lucia5, Ian M Thompson6.   

Abstract

BACKGROUND: Prostate cancer is ubiquitous in older men; differential screening patterns and variations in biopsy recommendations and acceptance will affect which man is diagnosed and, therefore, evaluation of cancer risk factors. We describe a statistical method to reduce prostate cancer detection bias among African American (n = 3398) and Non-Hispanic White men (n = 22,673) who participated in the Selenium and Vitamin E Cancer Prevention trial (SELECT) and revisit a previously reported association between race, obesity and prostate cancer risk.
METHODS: For men with screening values suggesting prostate cancer but in whom biopsy was not performed, the Prostate Cancer Prevention Trial Risk Calculator was used to estimate probability of prostate cancer. Associations of body mass index (BMI) and race with incident prostate cancer were compared for observed versus imputation-enhanced outcomes using incident density ratios.
RESULTS: Accounting for differential biopsy assessment, the previously reported positive linear trend between BMI and prostate cancer in African American men was not observed; no BMI association was found among Non-Hispanic White men.
CONCLUSIONS: Differential disease classification among men who may be recommended to undergo and then consider whether to accept a prostate biopsy leads to inaccurate identification of prostate cancer risk factors. Imputing a man's prostate cancer status reduces detection bias. Covariate adjustment does not address the problem of outcome misclassification. Cohorts evaluating incident prostate cancer should collect longitudinal screening and biopsy data to adjust for this potential bias.
Copyright © 2019 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Differential misclassification; Prevention; Prostate cancer; Risk factor

Mesh:

Year:  2019        PMID: 31639607      PMCID: PMC6938232          DOI: 10.1016/j.canep.2019.101619

Source DB:  PubMed          Journal:  Cancer Epidemiol        ISSN: 1877-7821            Impact factor:   2.984


  27 in total

1.  Non-parametric covariance methods for incidence density analyses of time-to-event data from a randomized clinical trial and their complementary roles to proportional hazards regression.

Authors:  C M Tangen; G G Koch
Journal:  Stat Med       Date:  2000-04-30       Impact factor: 2.373

2.  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

3.  Confounding and misclassification.

Authors:  S Greenland; J M Robins
Journal:  Am J Epidemiol       Date:  1985-09       Impact factor: 4.897

Review 4.  The high prevalence of undiagnosed prostate cancer at autopsy: implications for epidemiology and treatment of prostate cancer in the Prostate-specific Antigen-era.

Authors:  Jaquelyn L Jahn; Edward L Giovannucci; Meir J Stampfer
Journal:  Int J Cancer       Date:  2015-01-08       Impact factor: 7.396

5.  Design of the Prostate Cancer Prevention Trial (PCPT).

Authors:  P Feigl; B Blumenstein; I Thompson; J Crowley; M Wolf; B S Kramer; C A Coltman; O W Brawley; L G Ford
Journal:  Control Clin Trials       Date:  1995-06

6.  Retention of black and white participants in the selenium and vitamin E cancer prevention trial (SWOG-coordinated intergroup study S0000).

Authors:  Kathryn B Arnold; John A Hermos; Karen B Anderson; Lori Minasian; Catherine M Tangen; Jeffrey F Probstfield; Elise D Cook
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2014-09-21       Impact factor: 4.254

7.  Serum prostate-specific antigen hemodilution among obese men undergoing screening in the Prostate, Lung, Colorectal, and Ovarian Cancer Screening Trial.

Authors:  Robert L Grubb; Amanda Black; Grant Izmirlian; Thomas P Hickey; Paul F Pinsky; Jerome E Mabie; Thomas L Riley; Lawrence R Ragard; Philip C Prorok; Christine D Berg; E David Crawford; Timothy R Church; Gerald L Andriole
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2009-03-03       Impact factor: 4.254

8.  Effect of Aspirin on All-Cause Mortality in the Healthy Elderly.

Authors:  John J McNeil; Mark R Nelson; Robyn L Woods; Jessica E Lockery; Rory Wolfe; Christopher M Reid; Brenda Kirpach; Raj C Shah; Diane G Ives; Elsdon Storey; Joanne Ryan; Andrew M Tonkin; Anne B Newman; Jeff D Williamson; Karen L Margolis; Michael E Ernst; Walter P Abhayaratna; Nigel Stocks; Sharyn M Fitzgerald; Suzanne G Orchard; Ruth E Trevaks; Lawrence J Beilin; Geoffrey A Donnan; Peter Gibbs; Colin I Johnston; Barbara Radziszewska; Richard Grimm; Anne M Murray
Journal:  N Engl J Med       Date:  2018-09-16       Impact factor: 91.245

9.  Prevalence of prostate cancer among men with a prostate-specific antigen level < or =4.0 ng per milliliter.

Authors:  Ian M Thompson; Donna K Pauler; Phyllis J Goodman; Catherine M Tangen; M Scott Lucia; Howard L Parnes; Lori M Minasian; Leslie G Ford; Scott M Lippman; E David Crawford; John J Crowley; Charles A Coltman
Journal:  N Engl J Med       Date:  2004-05-27       Impact factor: 91.245

10.  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

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  1 in total

1.  Serum markers, obesity and prostate cancer risk: results from the prostate cancer prevention trial.

Authors:  Cindy H Chau; Cathee Till; Douglas K Price; Phyllis J Goodman; Marian L Neuhouser; Michael N Pollak; Ian M Thompson; William D Figg
Journal:  Endocr Relat Cancer       Date:  2022-01-20       Impact factor: 5.678

  1 in total

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