Literature DB >> 23107396

Socioeconomic and clinical factors influence the interval between positive prostate biopsy and radical prostatectomy.

Max Pitman1, Ruslan Korets, Max Kates, Gregory W Hruby, James M McKiernan.   

Abstract

OBJECTIVE: To examine socioeconomic and clinical factors that may predict a longer interval between prostate biopsy and radical prostatectomy (RP).
METHODS: The Columbia University Urologic Oncology Database was queried for patients who underwent RP from 1990-2010. Time to surgery (TTS) was defined as the period between the most recent positive prostate biopsy and date of surgery. Clinical factors examined included: age, D'Amico risk group, year of surgery, body mass index, and comorbidities. Socioeconomic factors included race/ethnicity, relationship status, income, and distance to treatment center. The relationship between clinical/socioeconomic factors and TTS was evaluated using univariate and multivariate regression models.
RESULTS: Two-thousand five-hundred seventy-three patients were included in the analysis. Median TTS was 48 days (IQR 35-70, range 43-1103), and 71% of patients underwent RP within 60 days after the most recent positive biopsy. On multivariate analysis, living further from the medical center was associated with shorter TTS (P = .01), whereas more recent year of surgery (P = .01), comorbid cardiovascular disease (P = .007), African-American (P = .005) or Hispanic race (P = .005), divorced relationship status (P = .01), and lower income (P = .003) were all associated with longer TTS.
CONCLUSION: Patients often experience widely variable intervals between the diagnosis and treatment of localized prostate cancer. Longer intervals before surgery may point to disparities in access to prostate cancer care, and not increased decision-making time by the patient.
Copyright © 2012. Published by Elsevier Inc.

Entities:  

Mesh:

Year:  2012        PMID: 23107396     DOI: 10.1016/j.urology.2012.01.008

Source DB:  PubMed          Journal:  Urology        ISSN: 0090-4295            Impact factor:   2.649


  5 in total

1.  Payer Type, Race/Ethnicity, and the Timing of Surgical Management of Urinary Stone Disease.

Authors:  William D Brubaker; Kai B Dallas; Christopher S Elliott; Alan C Pao; Glenn M Chertow; John T Leppert; Simon L Conti
Journal:  J Endourol       Date:  2018-11-16       Impact factor: 2.942

2.  A patient-centred approach toward surgical wait times for colon cancer: a population-based analysis.

Authors:  Amy Gillis; Matthew Dixon; Andrew Smith; Calvin Law; Natalie G Coburn
Journal:  Can J Surg       Date:  2014-04       Impact factor: 2.089

3.  Usability evaluation and adaptation of the e-health Personal Patient Profile-Prostate decision aid for Spanish-speaking Latino men.

Authors:  Donna L Berry; Barbara Halpenny; Jaclyn L F Bosco; John Bruyere; Martin G Sanda
Journal:  BMC Med Inform Decis Mak       Date:  2015-07-24       Impact factor: 2.796

4.  Risk factors involved in treatment delays and differences in treatment type for patients with prostate cancer by risk category in an academic safety net hospital.

Authors:  Carolyn K Kan; Muhammad M Qureshi; Apar Gupta; Ankit Agarwal; Gretchen A Gignac; B Nicolas Bloch; Nicholas Thoreson; Ariel E Hirsch
Journal:  Adv Radiat Oncol       Date:  2017-12-13

5.  The comparative effectiveness of decision aids in diverse populations with early stage prostate cancer: a study protocol for a cluster-randomized controlled trial in the NCI Community Oncology Research Program (NCORP), Alliance A191402CD.

Authors:  Joel E Pacyna; Simon Kim; Kathleen Yost; Hillary Sedlacek; Daniel Petereit; Judith Kaur; Bruce Rapkin; Robert Grubb; Electra Paskett; George J Chang; Jeff Sloan; Ethan Basch; Brittny Major; Paul Novotny; John Taylor; Jan Buckner; J Kellogg Parsons; Michael Morris; Jon C Tilburt
Journal:  BMC Cancer       Date:  2018-08-06       Impact factor: 4.430

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.