Development of a Cabozantinib (Cabometyx) Symptom Management Application for Use in Patients With Renal Cancer
NCT ID: NCT03867045
Last Updated: 2021-06-14
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
Get a concise snapshot of the trial, including recruitment status, study phase, enrollment targets, and key timeline milestones.
TERMINATED
NA
1 participants
INTERVENTIONAL
2019-08-21
2019-12-16
Brief Summary
Review the sponsor-provided synopsis that highlights what the study is about and why it is being conducted.
Related Clinical Trials
Explore similar clinical trials based on study characteristics and research focus.
Cabometyx and Avelumab in Patients With Metastatic Renal Cell Carcinoma (mRCC)
NCT03200587
Cabozantinib or Sunitinib Malate in Treating Participants With Metastatic Variant Histology Renal Cell Carcinoma
NCT03541902
Dose-Finding, Safety and Efficacy Study of RX-0201 Plus Everolimus in Metastatic Renal Cell Cancer
NCT02089334
A Study of Cabozantinib (XL184) vs Everolimus in Subjects With Metastatic Renal Cell Carcinoma
NCT01865747
Study of Cabozantinib as Monotherapy or in Combination With Nivolumab in Patients With Advanced or Metastatic Renal Cell Carcinoma Under Real-life Clinical Setting in 1st Line Treatment.
NCT03647878
Detailed Description
Dive into the extended narrative that explains the scientific background, objectives, and procedures in greater depth.
Conditions
See the medical conditions and disease areas that this research is targeting or investigating.
Study Design
Understand how the trial is structured, including allocation methods, masking strategies, primary purpose, and other design elements.
NA
SINGLE_GROUP
DEVICE_FEASIBILITY
NONE
Study Groups
Review each arm or cohort in the study, along with the interventions and objectives associated with them.
mRCC treated with cabozantinib
Nine patients with mRCC initiating cabozantinib therapy who meet subject eligibility criteria.
Usability of an electronic symptom management application
Usability of an electronic symptom management application in a pilot group of patients receiving cabozantinib for mRCC through data analytics and feedback from users
Interventions
Learn about the drugs, procedures, or behavioral strategies being tested and how they are applied within this trial.
Usability of an electronic symptom management application
Usability of an electronic symptom management application in a pilot group of patients receiving cabozantinib for mRCC through data analytics and feedback from users
Eligibility Criteria
Check the participation requirements, including inclusion and exclusion rules, age limits, and whether healthy volunteers are accepted.
Inclusion Criteria
Technology requirement: The patient will need to have home wireless internet access for use of the software and technology in this study. The patient will need to already have or be willing to set up a Duke MyChart account.
Exclusion Criteria
18 Years
ALL
No
Sponsors
Meet the organizations funding or collaborating on the study and learn about their roles.
Exelixis
INDUSTRY
Duke University
OTHER
Responsible Party
Identify the individual or organization who holds primary responsibility for the study information submitted to regulators.
Principal Investigators
Learn about the lead researchers overseeing the trial and their institutional affiliations.
Sundhar Ramalingam, MD
Role: PRINCIPAL_INVESTIGATOR
Duke University
Locations
Explore where the study is taking place and check the recruitment status at each participating site.
Duke University Medical Center
Durham, North Carolina, United States
Duke Raleigh Hospital
Raleigh, North Carolina, United States
Countries
Review the countries where the study has at least one active or historical site.
Other Identifiers
Review additional registry numbers or institutional identifiers associated with this trial.
Pro00086667
Identifier Type: -
Identifier Source: org_study_id
More Related Trials
Additional clinical trials that may be relevant based on similarity analysis.