Observational Study of Cannabis/Cannabinoid Use in Cancer Patients
This study is looking at how cannabis or cannabinoid use affects cancer-related symptoms in people newly diagnosed with certain cancers. These include breast cancer, colorectal cancer, melanoma, non-Hodgkin lymphoma, or non-small cell lung cancer. You would be eligible if you are 18 or older and planning to receive chemotherapy and/or immune checkpoint inhibitors (like therapies targeting PD-1, PD-L1, or CTLA-4). The study aims to understand the connection between cannabis/cannabinoid use and your symptoms over one year. This is an observational study, meaning researchers will collect information about your experiences rather than giving you a specific treatment.
- Study design
- This is an observational study planning to enroll 2000 participants. It is not specified if it's randomized or blinded.
- What's involved
- Participants will complete surveys and have their medical records reviewed. Cancer-related symptoms will be assessed monthly for up to 12 months.
- Compensation
- Not stated in the trial record.
- Follow-up
- Participants will be followed for up to 12 months after enrollment, with monthly symptom assessments.
AI-generated from the public study record. Only the study team can confirm whether you're eligible — confirm details with them before making decisions.
Assessing Benefits and Harms of Cannabis/Cannabinoid Use Among Cancer Patients Treated in Community Oncology Clinics
At a glance
Conditions
Where it's being run
467 sites across 44 statesStudy leadership
- Glenn Lesser, MD · STUDY_CHAIR · Wake Forest University Health Sciences
Who to contact
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Do you actually qualify for this trial?
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Inclusion
Exclusion
What this trial measures
- Cancer-related symptomsBaseline and re-assessed monthly up to 12 months post-enrollment
Will use the National Cancer Institute Patient-Reported Outcomes version of the Common Terminology Criteria for Adverse Events to measure cancer-related symptoms. Will examine the longitudinal relationship between cannabis and/or cannabinoid use and the likelihood of exhibiting individual symptoms using three-level GLMMs to account for the nested data. The investigators will model continuous measures (e.g., symptom severity) using a linear generalized linear mixed-effects models (GLMM) and the prevalence of symptoms or moderate to severe symptoms using a logistic GLMM. Cannabis and/or cannabinoid use at each monthly assessment will be included as a time-varying covariate and an interaction with time will be included to assess its impact on symptoms over time. Analyses will consider dichotomous definitions of use (yes/no past month), frequency of use (# days in the past month) as well as mode of administration, dose/potency, and cannabinoid type.