Literature DB >> 22736219

Who should be included in a clinical trial of screening for bladder cancer?: a decision analysis of data from the Prostate, Lung, Colorectal and Ovarian Cancer Screening Trial.

Andrew J Vickers1, Caroline Bennette, Adam S Kibel, Amanda Black, Grant Izmirlian, Andrew J Stephenson, Bernard Bochner.   

Abstract

BACKGROUND: Because of its relatively low incidence, bladder cancer screening might have a better ratio of benefits to harms if it is restricted to a high-risk population. Data from the Prostate, Lung, Colorectal and Ovarian (PLCO) Cancer Screening Trial were used and simple decision analytic techniques were applied to compare different eligibility criteria for a screening trial.
METHODS: For a variety of possible eligibility criteria, the percentage of the population aged 55 years to 74 years and classified as being at high risk for developing invasive or high-grade carcinoma, and therefore likely to benefit from screening, was calculated. Regression models were used to calculate a risk score based on age, sex, smoking history, and family history of bladder cancer. The reduction in cases was calculated given hypothetical risk reductions associated with screening. The trade-off between patients screened and tumors avoided was calculated as a net benefit.
RESULTS: The 5-year probability of being diagnosed with invasive bladder cancer was 0.24%. Using a risk score > 6 or > 8 as the eligibility criterion for a trial was generally superior to including all older adults. In a typical scenario, a risk score > 6 would result in approximately 25% of the population being screened to prevent 57 invasive or high-grade bladder cancers per 100,000 population; screening the entire population would prevent only an additional 38 cases.
CONCLUSIONS: Screening for bladder cancer can be optimized by restricting it to a subgroup of patients considered to be at elevated risk. Different eligibility criteria for a screening trial can be compared rationally using decision-analytic techniques.
Copyright © 2012 American Cancer Society.

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Year:  2012        PMID: 22736219      PMCID: PMC4036636          DOI: 10.1002/cncr.27692

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


  14 in total

1.  Mortality results from the Göteborg randomised population-based prostate-cancer screening trial.

Authors:  Jonas Hugosson; Sigrid Carlsson; Gunnar Aus; Svante Bergdahl; Ali Khatami; Pär Lodding; Carl-Gustaf Pihl; Johan Stranne; Erik Holmberg; Hans Lilja
Journal:  Lancet Oncol       Date:  2010-07-02       Impact factor: 41.316

2.  Long-term outcome of hematuria home screening for bladder cancer in men.

Authors:  Edward M Messing; Ralph Madeb; Terry Young; Kennedy W Gilchrist; Lora Bram; E Barry Greenberg; John D Wegenke; Laura Stephenson; Jason Gee; Changyong Feng
Journal:  Cancer       Date:  2006-11-01       Impact factor: 6.860

3.  Cancer statistics, 2010.

Authors:  Ahmedin Jemal; Rebecca Siegel; Jiaquan Xu; Elizabeth Ward
Journal:  CA Cancer J Clin       Date:  2010-07-07       Impact factor: 508.702

4.  Comparison of bladder cancer outcome in men undergoing hematuria home screening versus those with standard clinical presentations.

Authors:  E M Messing; T B Young; V B Hunt; K W Gilchrist; M A Newton; L L Bram; W J Hisgen; E B Greenberg; M E Kuglitsch; J D Wegenke
Journal:  Urology       Date:  1995-03       Impact factor: 2.649

5.  Dipstick haematuria and bladder cancer in men over 60: results of a community study.

Authors:  J P Britton; A C Dowell; P Whelan
Journal:  BMJ       Date:  1989-10-21

Review 6.  Gender, racial and age differences in bladder cancer incidence and mortality.

Authors:  Ralph Madeb; Edward M Messing
Journal:  Urol Oncol       Date:  2004 Mar-Apr       Impact factor: 3.498

7.  Critical evaluation of urinary markers for bladder cancer detection and monitoring.

Authors:  Shahrokh F Shariat; Jose A Karam; Yair Lotan; Pierre I Karakiewizc
Journal:  Rev Urol       Date:  2008

8.  Bladder cancer screening in a high risk asymptomatic population using a point of care urine based protein tumor marker.

Authors:  Yair Lotan; Keren Elias; Robert S Svatek; Aditya Bagrodia; Geoffrey Nuss; Brett Moran; Arthur I Sagalowsky
Journal:  J Urol       Date:  2009-05-17       Impact factor: 7.450

9.  Selecting patients for randomized trials: a systematic approach based on risk group.

Authors:  Andrew J Vickers; Barry S Kramer; Stuart G Baker
Journal:  Trials       Date:  2006-10-05       Impact factor: 2.279

10.  Clinical benefits of a multivariate prediction model for bladder cancer: a decision analytic approach.

Authors:  Andrew J Vickers; Angel M Cronin; Michael W Kattan; Mithat Gonen; Peter T Scardino; Matthew I Milowsky; Guido Dalbagni; Bernard H Bochner
Journal:  Cancer       Date:  2009-12-01       Impact factor: 6.860

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  9 in total

Review 1.  Summary of the 8th Annual Bladder Cancer Think Tank: Collaborating to move research forward.

Authors:  Andrea B Apolo; Vanessa Hoffman; Matthew G Kaag; David M Latini; Cheryl T Lee; Jonathan E Rosenberg; Margaret Knowles; Dan Theodorescu; Bogdan A Czerniak; Jason A Efstathiou; Matthew L Albert; Srikala S Sridhar; Vitaly Margulis; Surena F Matin; Matthew D Galsky; Donna Hansel; Ashish M Kamat; Thomas W Flaig; Angela B Smith; Edward Messing; Diane Zipursky Quale; Yair Lotan
Journal:  Urol Oncol       Date:  2014-07-25       Impact factor: 3.498

2.  Evaluating biomarkers for prognostic enrichment of clinical trials.

Authors:  Kathleen F Kerr; Jeremy Roth; Kehao Zhu; Heather Thiessen-Philbrook; Allison Meisner; Francis Perry Wilson; Steven Coca; Chirag R Parikh
Journal:  Clin Trials       Date:  2017-08-10       Impact factor: 2.486

3.  Bladder cancer: Towards risk stratification in bladder cancer.

Authors:  Helena Furberg; Bernard H Bochner
Journal:  Nat Rev Urol       Date:  2013-05-21       Impact factor: 14.432

4.  Predicting risk of bladder cancer using clinical and demographic information from prostate, lung, colorectal, and ovarian cancer screening trial participants.

Authors:  Maria C Mir; Andrew J Stephenson; Robert L Grubb; Amanda Black; Adam S Kibel; Grant Izmirlian
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2013-10-02       Impact factor: 4.254

Review 5.  The contemporary role and impact of urine-based biomarkers in bladder cancer.

Authors:  Igor Duquesne; Lars Weisbach; Atiqullah Aziz; Luis A Kluth; Evanguelos Xylinas
Journal:  Transl Androl Urol       Date:  2017-12

Review 6.  Review of the Clinical Approaches to the Use of Urine-based Tumor Markers in Bladder Cancer.

Authors:  Timothy Clinton; Yair Lotan
Journal:  Rambam Maimonides Med J       Date:  2017-10-16

7.  Evaluating the impact of policies recommending PrEP to subpopulations of men and transgender women who have sex with men based on demographic and behavioral risk factors.

Authors:  Holly Janes; Marshall D Brown; David V Glidden; Kenneth H Mayer; Susan P Buchbinder; Vanessa M McMahan; Mauro Schechter; Juan Guanira; Martin Casapia
Journal:  PLoS One       Date:  2019-09-19       Impact factor: 3.240

8.  BioPETsurv: Methodology and open source software to evaluate biomarkers for prognostic enrichment of time-to-event clinical trials.

Authors:  Si Cheng; Kathleen F Kerr; Heather Thiessen-Philbrook; Steven G Coca; Chirag R Parikh
Journal:  PLoS One       Date:  2020-09-18       Impact factor: 3.240

9.  Long non-coding RNA HNF1A-AS1 promotes proliferation and suppresses apoptosis of bladder cancer cells through upregulating Bcl-2.

Authors:  Yonghao Zhan; Yifan Li; Bao Guan; Zicheng Wang; Ding Peng; Zhicong Chen; Anbang He; Shiming He; Yanqing Gong; Xuesong Li; Liqun Zhou
Journal:  Oncotarget       Date:  2017-09-08
  9 in total

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