Literature DB >> 20526381

Does Finasteride Affect the Severity of Prostate Cancer? A Causal Sensitivity Analysis.

Bryan E Shepherd1, Mary W Redman, Donna P Ankerst.   

Abstract

In 2003 Thompson and colleagues reported that daily use of finasteride reduced the prevalence of prostate cancer by 25% compared to placebo. These results were based on the double-blind randomized Prostate Cancer Prevention Trial (PCPT) which followed 18,882 men with no prior or current indications of prostate cancer annually for seven years. Enthusiasm for the risk reduction afforded by the chemopreventative agent and adoption of its use in clinical practice, however, was severely dampened by the additional finding in the trial of an increased absolute number of high-grade (Gleason score >/= 7) cancers on the finasteride arm. The question arose as to whether this finding truly implied that finasteride increased the risk of more severe prostate cancer or was a study artifact due to a series of possible post-randomization selection biases, including differences among treatment arms in patient characteristics of cancer cases, differences in biopsy verification of cancer status due to increased sensitivity of prostate-specific antigen under finasteride, differential grading by biopsy due to prostate volume reduction by finasteride, and nonignorable drop-out. Via a causal inference approach implementing inverse probability weighted estimating equations, this analysis addresses the question of whether finasteride caused more severe prostate cancer by estimating the mean treatment difference in prostate cancer severity between finasteride and placebo for the principal stratum of participants who would have developed prostate cancer regardless of treatment assignment. We perform sensitivity analyses that sequentially adjust for the numerous potential post-randomization biases conjectured in the PCPT.

Entities:  

Year:  2008        PMID: 20526381      PMCID: PMC2880822          DOI: 10.1198/016214508000000706

Source DB:  PubMed          Journal:  J Am Stat Assoc        ISSN: 0162-1459            Impact factor:   5.033


  15 in total

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6.  An analytic method for randomized trials with informative censoring: Part 1.

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7.  Effect of finasteride on the sensitivity of PSA for detecting prostate cancer.

Authors:  Ian M Thompson; Chen Chi; Donna Pauler Ankerst; Phyllis J Goodman; Catherine M Tangen; Scott M Lippman; M Scott Lucia; Howard L Parnes; Charles A Coltman
Journal:  J Natl Cancer Inst       Date:  2006-08-16       Impact factor: 13.506

8.  Finasteride improves the sensitivity of digital rectal examination for prostate cancer detection.

Authors:  Ian M Thompson; Catherine M Tangen; Phyllis J Goodman; M Scott Lucia; Howard L Parnes; Scott M Lippman; Charles A Coltman
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Authors:  Michael G Hudgens; Antje Hoering; Steven G Self
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Authors:  Phyllis J Goodman; Catherine M Tangen; John J Crowley; Susan M Carlin; Anne Ryan; Charles A Coltman; Leslie G Ford; Ian M Thompson
Journal:  Control Clin Trials       Date:  2004-04
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  8 in total

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Authors:  Peter B Gilbert; Yuying Jin
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5.  Transparency and reproducibility in data analysis: the Prostate Cancer Prevention Trial.

Authors:  Stuart G Baker; Amy K Darke; Paul Pinsky; Howard L Parnes; Barnett S Kramer
Journal:  Biostatistics       Date:  2010-02-19       Impact factor: 5.899

6.  Sensitivity analyses comparing time-to-event outcomes only existing in a subset selected postrandomization and relaxing monotonicity.

Authors:  Bryan E Shepherd; Peter B Gilbert; Charles T Dupont
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Review 7.  A review of reproducible and transparent research practices in urology publications from 2014 to2018.

Authors:  Shelby Rauh; Bradley S Johnson; Aaron Bowers; Daniel Tritz; Benjamin Matthew Vassar
Journal:  BMC Urol       Date:  2022-07-11       Impact factor: 2.090

8.  Rank-based principal stratum sensitivity analyses.

Authors:  X Lu; D V Mehrotra; B E Shepherd
Journal:  Stat Med       Date:  2013-05-19       Impact factor: 2.373

  8 in total

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