Literature DB >> 29045679

Prostate Cancer Patient Characteristics Associated With a Strong Preference to Preserve Sexual Function and Receipt of Active Surveillance.

James R Broughman1,2, Ramsankar Basak1, Matthew E Nielsen3, Bryce B Reeve2,3, Deborah S Usinger1, Kiayni C Spearman1, Paul A Godley2,4, Ronald C Chen1,2,4.   

Abstract

Background: Men with early-stage prostate cancer have multiple options that have similar oncologic efficacy but vary in terms of their impact on quality of life. In low-risk cancer, active surveillance is the option that best preserves patients' sexual function, but it is unknown if patient preference affects treatment selection. Our objectives were to identify patient characteristics associated with a strong preference to preserve sexual function and to determine whether patient preference and baseline sexual function level are associated with receipt of active surveillance in low-risk cancer.
Methods: In this population-based cohort of men with localized prostate cancer, baseline patient-reported sexual function was assessed using a validated instrument. Patients were also asked whether preservation of sexual function was very, somewhat, or not important. Prostate cancer disease characteristics and treatments received were abstracted from medical records. A modified Poisson regression model with robust standard errors was used to compute adjusted risk ratio (aRR) estimates. All statistical tests were two-sided.
Results: Among 1194 men, 52.6% indicated a strong preference for preserving sexual function. Older men were less likely to have a strong preference (aRR = 0.98 per year, 95% confidence interval [CI] = 0.97 to 0.99), while men with normal sexual function were more likely (vs poor function, aRR = 1.59, 95% CI = 1.39 to 1.82). Among 568 men with low-risk cancer, there was no clear association between baseline sexual function or strong preference to preserve function with receipt of active surveillance. However, strong preference may differnetially impact those with intermediate baseline function vs poor function (Pinteraction = .02). Conclusions: Treatment choice may not always align with patients' preferences. These findings demonstrate opportunities to improve delivery of patient-centered care in early prostate cancer.

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Year:  2018        PMID: 29045679      PMCID: PMC6367921          DOI: 10.1093/jnci/djx218

Source DB:  PubMed          Journal:  J Natl Cancer Inst        ISSN: 0027-8874            Impact factor:   13.506


  34 in total

1.  Factors influencing treatment decision making and information preferences of prostate cancer patients on active surveillance.

Authors:  Barbara Joyce Davison; Erin Breckon
Journal:  Patient Educ Couns       Date:  2011-12-15

2.  Treatment decision-making for localized prostate cancer: what younger men choose and why.

Authors:  Abhinav Sidana; David J Hernandez; Zhaoyong Feng; Alan W Partin; Bruce J Trock; Surajit Saha; Jonathan I Epstein
Journal:  Prostate       Date:  2011-04-25       Impact factor: 4.104

3.  Individualizing quality-of-life outcomes reporting: how localized prostate cancer treatments affect patients with different levels of baseline urinary, bowel, and sexual function.

Authors:  Ronald C Chen; Jack A Clark; James A Talcott
Journal:  J Clin Oncol       Date:  2009-07-20       Impact factor: 44.544

4.  Quality of life and satisfaction with outcome among prostate-cancer survivors.

Authors:  Martin G Sanda; Rodney L Dunn; Jeff Michalski; Howard M Sandler; Laurel Northouse; Larry Hembroff; Xihong Lin; Thomas K Greenfield; Mark S Litwin; Christopher S Saigal; Arul Mahadevan; Eric Klein; Adam Kibel; Louis L Pisters; Deborah Kuban; Irving Kaplan; David Wood; Jay Ciezki; Nikhil Shah; John T Wei
Journal:  N Engl J Med       Date:  2008-03-20       Impact factor: 91.245

Review 5.  Patient decision aids for prostate cancer treatment: a systematic review of the literature.

Authors:  Grace A Lin; David S Aaronson; Sara J Knight; Peter R Carroll; R Adams Dudley
Journal:  CA Cancer J Clin       Date:  2009-10-19       Impact factor: 508.702

6.  Informed Decision Making: Assessment of the Quality of Physician Communication about Prostate Cancer Diagnosis and Treatment.

Authors:  Margaret Holmes-Rovner; Jeffrey S Montgomery; David R Rovner; Laura D Scherer; Jesse Whitfield; Valerie C Kahn; Edgar C Merkle; Peter A Ubel; Angela Fagerlin
Journal:  Med Decis Making       Date:  2015-08-24       Impact factor: 2.583

Review 7.  Cancer treatment and survivorship statistics, 2014.

Authors:  Carol E DeSantis; Chun Chieh Lin; Angela B Mariotto; Rebecca L Siegel; Kevin D Stein; Joan L Kramer; Rick Alteri; Anthony S Robbins; Ahmedin Jemal
Journal:  CA Cancer J Clin       Date:  2014-06-01       Impact factor: 508.702

8.  Cancer treatment and survivorship statistics, 2016.

Authors:  Kimberly D Miller; Rebecca L Siegel; Chun Chieh Lin; Angela B Mariotto; Joan L Kramer; Julia H Rowland; Kevin D Stein; Rick Alteri; Ahmedin Jemal
Journal:  CA Cancer J Clin       Date:  2016-06-02       Impact factor: 508.702

9.  Doctors' and patients' preferences for participation and treatment in curative prostate cancer radiotherapy.

Authors:  Peep F M Stalmeier; Julia J van Tol-Geerdink; Emile N J Th van Lin; Erik Schimmel; Henk Huizenga; Willem A J van Daal; Jan-Willem Leer
Journal:  J Clin Oncol       Date:  2007-07-20       Impact factor: 44.544

10.  Effect of radical prostatectomy for prostate cancer on patient quality of life: results from a Medicare survey.

Authors:  F J Fowler; M J Barry; G Lu-Yao; J Wasson; A Roman; J Wennberg
Journal:  Urology       Date:  1995-06       Impact factor: 2.649

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  2 in total

1.  Psychometric Evaluation of PROMIS Sexual Function and Satisfaction Measures in a Longitudinal Population-Based Cohort of Men With Localized Prostate Cancer.

Authors:  Bryce B Reeve; Mian Wang; Kevin Weinfurt; Kathryn E Flynn; Deborah S Usinger; Ronald C Chen
Journal:  J Sex Med       Date:  2018-10-24       Impact factor: 3.802

2.  Patient-reported sexual quality of life after different types of radical prostatectomy and radiotherapy: Analysis of a population-based prospective cohort.

Authors:  Brandon T Mullins; Ramsankar Basak; James R Broughman; Ronald C Chen
Journal:  Cancer       Date:  2019-06-30       Impact factor: 6.860

  2 in total

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