Non-Chemotherapy Approaches for Multiple Myeloma and Immune Function
This study is looking at ways to improve quality of life and immune function for people with multiple myeloma (a type of blood cancer) or smoldering multiple myeloma (a pre-cancerous condition). Researchers are testing different approaches that don't involve chemotherapy. These include wearing a FitBit device to encourage physical activity, following an intermittent fasting plan, and taking a beta-blocker called propranolol. The study aims to see how these interventions affect immune cells and overall well-being. You may be able to join if you are 18 or older and have been diagnosed with multiple myeloma, smoldering multiple myeloma, or plasma cell leukemia. The study is currently unclear about its recruitment status.
- Study design
- This interventional study plans to enroll 175 participants. It is not specified if it is randomized or blinded.
- What's involved
- Depending on the group you are in, you might participate in supervised strength training for 6 months, wear a FitBit device for 6 months, or follow an intermittent fasting plan for 1 month. You will also have quality-of-life assessments and questionnaires.
- Compensation
- Not stated in the trial record.
- Follow-up
- Changes in immune cell subsets will be measured at the beginning of the study and again at 1 year.
AI-generated from the public study record. Only the study team can confirm whether you're eligible — confirm details with them before making decisions.
Non-chemotherapeutic Interventions for the Improvement of Quality of Life and Immune Function in Patients With Multiple Myeloma
At a glance
Conditions
Where it's being run
1 sites across 1 statesStudy leadership
- Jens Hillengass · PRINCIPAL_INVESTIGATOR · Roswell Park Cancer Institute
Who to contact
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Do you actually qualify for this trial?
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Inclusion
Exclusion
What this trial measures
- Changes in immune cell subsetsAt baseline and at 1 year
Will be assessed by flow cytometry, comparing levels before and after one of three lifestyle interventions (physical exercise, intermittent fasting, beta blocker therapy). Will use a linear mixed model. Since the form of the model is unknown a priori, the power calculations are based on comparing any two timepoints using a two-sided paired t-test. With n=100, we have 80% power (at alpha = 0.05/3) to detect a difference of at least 0.33 standard deviations (SD).