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Light Exposure to Prevent Frailty in Prostate Cancer Patients
Study Summary
This trial is studying if light exposure can help prevent frailty in older prostate cancer patients on hormone therapy.
Eligibility Criteria
Inclusion Criteria
You may be eligible if you check “Yes” for the criteria belowTimeline
Treatment Details
Study Objectives
Outcome measures can provide a clearer picture of what you can expect from a treatment.Trial Design
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Who is running the clinical trial?
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- You have very serious problems with sleeping.You have an eye condition that affects how well you can see.You currently have an uncontrolled illness or an ongoing infection.You have a serious mental health condition that may affect your ability to participate in the study.You have used light therapy before to treat fatigue or depression.You are expected to live for at least 6 more months.You have severe medical conditions that make you weak and vulnerable.
- Group 1: Arm I (BWL)
- Group 2: Arm II (DWL)
- No Placebo-Only Group - All patients enrolled in this study will receive some form of active treatment.
- Screening: It may take up to 3 Weeks to process to see if you qualify in this trial.
- Treatment: The duration you will receive the treatment varies.
- Follow Ups: You may be asked to continue sharing information regarding the trial for 6 Months after you stop receiving the treatment.
Frequently Asked Questions
Are there any vacancies available for individuals to participate in this research?
"This investigation, which was initially published on September 24th 2018 and last modified on May 10th 2022 is no longer accepting patients. However, there are currently 1466 other trials in need of participants."
What are the chief goals of this experiment?
"This medical trial, conducted over a 6-month period, aims to assess frailty in elderly prostate cancer patients post initiation of anti-androgen therapy. Secondary objectives include evaluating fatigue levels via the FACIT-Fatigue scale, hand grip strength with a handheld dynamometer, and IADLs with a repeated measures mixed linear model."
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