This clinical trial studies how well a long-term follow-up works in patients with prostate cancer after surgery. Long-term follow-up data may serve as a resource to help ask clinical questions, describe health-related quality of life and long-term complications related, and facilitate future studies focusing on interventions to improve health status and health-related quality of life in prostate cancer survivors.
PRIMARY OBJECTIVES: I. To provide comprehensive long-term follow-up care to prostate cancer survivors at the City of Hope who underwent definitive surgical therapy. II. To use the information obtained from follow-up of prostate cancer survivors who underwent definitive surgical therapy to serve as a resource that will help answer clinical questions, generate and test hypotheses, describe the incidence of long-term complications, and facilitate future studies focusing on interventions for long-term complications of prostate cancer and its therapy. III. To use the information gained from follow-up of prostate cancer survivors who underwent definitive surgical therapy to describe health-related quality of life (HRQL) concerns and to serve as a resource to facilitate future studies focusing on interventions to improve health status and HRQL in prostate cancer survivors. OUTLINE: Patients undergo long-term follow-up and receive a written survivorship care plan including comprehensive health evaluation and health education beginning 1 year post surgery.
Study Type
INTERVENTIONAL
Allocation
NA
Purpose
SUPPORTIVE_CARE
Masking
NONE
Enrollment
2,500
Receive health education
Correlative studies
Undergo long-term follow-up using survivorship care plan
City of Hope Medical Center
Duarte, California, United States
HRQL assessed using Expanded Prostate Cancer Index Composite
Linear mixed effects models can be used to estimate long-term trends and examine the effects of baseline and concomitant factors on these trends.
Time frame: Up to 10 years
HRQL assessed using Sexual Health Inventory for Men
Linear mixed effects models can be used to estimate long-term trends and examine the effects of baseline and concomitant factors on these trends.
Time frame: Up to 10 years
Incidence rates of the study end-points
Incidence rates of the study end-points that may be associated with original diagnosis or treatment received, and delineation of temporal changes in serial measurements and their relationship to time-invariant characteristics such as original diagnosis, race, and education and time-varying characteristics such as age and body mass index will be estimated. Incidence rates may be compared with national standards adjusted for key demographic variables and between patient subgroups.
Time frame: Up to 10 years
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Ancillary studies
Ancillary studies