Observational Study for Pancreatic Cancer and Cachexia
This study is looking at ways to better understand and manage cancer-related weight loss and muscle wasting (cachexia) in people with pancreatic cancer. It's an observational study, meaning researchers will collect information about your health, lifestyle, and symptoms, rather than testing a new drug. They will use surveys, fitness tests, and wearable devices like a Fitbit. The goal is to develop an artificial intelligence (AI) tool to find cachexia early and to see how practical diet and exercise programs are for patients. You might be able to join if you are 18 or older and have been diagnosed with pancreatic cancer. The study aims to enroll 120 participants, but its current recruitment status is unclear.
- Study design
- This is an observational study aiming to enroll 120 participants. It is not testing a specific drug but rather collecting data to validate an AI model and assess intervention feasibility.
- What's involved
- You would complete dietary, symptom, and quality of life surveys, physical activity surveys, functional fitness tests, DEXA scans, and blood draws. You would also wear a monitoring device and complete a diet/physical activity preference survey at 9 months.
- Compensation
- Not stated in the trial record.
- Follow-up
- Participants will be monitored for up to 9 months.
AI-generated from the public study record. Only the study team can confirm whether you're eligible — confirm details with them before making decisions.
A First-in-Human Study of FID-022 in Solid Tumor Patients
At a glance
Conditions
Where it's being run
1 sites across 1 statesStudy leadership
- Ghulam Rasool, PhD · PRINCIPAL_INVESTIGATOR · Moffitt Cancer Center
Who to contact
Opens a ready-to-send draft in your own email app — review before sending.
Do you actually qualify for this trial?
Add a private profile and we'll compare every criterion below against your situation — and tell you which ones are met, uncertain, or excluding.
Inclusion
Exclusion
What this trial measures
- AI Model PerformanceUp to 9 months
Investigators will rigorously assess model performance using clinically meaningful metrics (AUC-ROC, sensitivity, specificity, etc.) to confirm its reliability and readiness for clinical use.
- Survey Completion RateUp to 9 months
Percentage of patients completing all scheduled questionnaires.
- Wearable AdherenceUp to 9 months
Percentage of longitudinal participants syncing Fitbit weekly for ≥80% of study weeks.
- Quality of Life ChangeUp to 9 months
Mean change in FAACT total score from baseline to 9 months.
- Physical Activity ChangeUp to 9 months
Mean increase in weekly moderate-to-vigorous activity minutes.