Long-Term Outcomes of Localized Prostate Cancer Survivors

Abstract

Patients with localized prostate cancer face a confusing decision among many options. The standard options in current guidelines range from active surveillance, surgery, and radiation therapy (RT, various forms). Surgery and RT have evolved/improved significantly. Patients need long-term outcomes (quality of life, cancer control/recurrence, and survival) of modern treatments in order to help them make a treatment decision; however, these data do not exist. The current literature includes outcomes of older surgery and RT modalities no longer commonly used today, or short-term outcomes of modern treatments. This means that patients today do not have the information they need to make an informed decision, and must use outdated data of older prostate cancer treatments. In 2010, the study team worked with a national group of stakeholders including patients to design this study to provide data that are directly relevant to patients and stakeholders. With funding from AHRQ, PCORI and NCI, we enrolled a population-based cohort of newly-diagnosed patients, and have followed them prospectively/annually. Here, we propose to study 8-10 year outcomes. Hypothesis/Objective: The overall objective of this study is to continue studying an established population-based cohort of localized prostate cancer patients to yield up to 10 years of long-term outcomes among different modern treatment options. The central hypothesis is that long-term quality of life (QOL), treatment-related morbidity, cancer control and survival outcomes differ among the treatment options. Because short-term outcomes are not sufficient in prostate cancer, this proposed study represents significant value added to the prior funding which built this cohort, and will provide meaningful results that directly address important current knowledge gaps.

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Document Details

Document Type
Technical Report
Publication Date
Aug 01, 2020
Accession Number
AD1110048

Entities

People

  • Ronald Chen

Organizations

  • University of Kansas Medical Center
  • University of North Carolina

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Abstracts
  • Biomedical Research
  • Data Analysis
  • Data Set
  • Data Sets
  • Digital Data
  • Governments
  • Health Services
  • Humanities
  • Institutional Review Board
  • Intervention
  • Local Governments
  • Maryland
  • Medical Personnel
  • Morbidity
  • Neoplasms
  • North Carolina
  • Patent Applications
  • Patient Care
  • Professional Development
  • Prostate
  • Prostate Cancer
  • Public Administration
  • Quality Of Life
  • Radiation
  • Semantic Models
  • Standards
  • Surveillance
  • Survival
  • Therapy
  • Training

Fields of Study

  • Medicine

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