Vitamin D for Prostate Cancer Bone Loss
This study is looking at whether high-dose vitamin D can help men with prostate cancer who are receiving androgen-deprivation therapy (ADT) to prevent bone loss. ADT is a treatment that can weaken bones. Vitamin D helps your body absorb calcium, which is important for strong bones. Researchers want to see if taking high-dose vitamin D will reduce bone loss in your hips, wrists, and other areas over 52 weeks. They will also look at whether it helps reduce falls, fractures, and fatigue. This study is for men aged 50 or older with Stage I-IVA prostate cancer without bone metastases, who are starting or have recently started ADT.
- Study design
- This is an interventional study planning to enroll 240 men. Participants will be randomly assigned to receive either high-dose vitamin D or a placebo (an inactive substance) for 52 weeks.
- What's involved
- You would have blood collected and undergo a DXA scan (a type of bone density scan) at the beginning and during the study. You would take either vitamin D or a placebo by mouth once a week for 52 weeks.
- Compensation
- Not stated in the trial record.
- Follow-up
- The primary endpoints for this study are measured at 52 weeks, which suggests follow-up will last at least that long.
AI-generated from the public study record. Only the study team can confirm whether you're eligible — confirm details with them before making decisions.
Vitamin D for Prostate Endocrine Therapy
At a glance
Conditions
Where it's being run
51 sites across 14 statesStudy leadership
- Luke J Peppone · PRINCIPAL_INVESTIGATOR · University of Rochester NCORP Research Base
Who to contact
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Do you actually qualify for this trial?
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Inclusion
Exclusion
What this trial measures
- Reduction of bone mineral density (BMD) loss as measured at the total hipAt 52 weeks
Will determine the efficacy of high-dose vitamin D (HDVD) supplementation versus placebo in reducing BMD loss as measured at the total hip via dual-energy x-ray absorptiometry (DXA) at 52 weeks. Will use analysis of covariance (ANCOVA) with group (vitamin D or placebo) as the main factor, baseline timepoint (\[T\]1) BMD as covariate, and week 52 (T3) BMD as the outcome. Study site will be included as a random effect independent of residual error. An initial linear mixed model (LMM) will be fit using Restricted Maximum Likelihood (REML) estimation. The significance of the variance due to study site will be tested using the Wald Test.
- Reduction of BMD loss as measured at the femoral neckAt 52 weeks
Will determine the efficacy of HDVD supplementation versus placebo in reducing BMD loss as measured at the femoral neck via DXA at 52 weeks. Will use ANCOVA with group (vitamin D or placebo) as the main factor, baseline (T1) BMD as covariate, and week 52 (T3) BMD as the outcome. Study site will be included as a random effect independent of residual error. An initial LMM will be fit using REML estimation. The significance of the variance due to study site will be tested using the Wald Test.
- Reduction of BMD loss as measured at the distal radiusAt 52 weeks
Will determine the efficacy of HDVD supplementation versus placebo in reducing BMD loss as measured at the distal radius via DXA at 52 weeks. Will use ANCOVA with group (vitamin D or placebo) as the main factor, baseline (T1) BMD as covariate, and week 52 (T3) BMD as the outcome. Study site will be included as a random effect independent of residual error. An initial LMM will be fit using REML estimation. The significance of the variance due to study site will be tested using the Wald Test.
- Reduction of BMD loss as measured at the lumbar spineAt 52 weeks
Will determine the efficacy of HDVD supplementation versus placebo in reducing BMD loss as measured at the lumbar spine via DXA at 52 weeks. Will use ANCOVA with group (vitamin D or placebo) as the main factor, baseline (T1) BMD as covariate, and week 52 (T3) BMD as the outcome. Study site will be included as a random effect independent of residual error. An initial LMM will be fit using REML estimation. The significance of the variance due to study site will be tested using the Wald Test.