About this trial
This observational study aims to (1) validate a multimodal artificial intelligence (AI) model for early detection of cancer-associated cachexia in pancreatic cancer patients and (2) assess the feasibility and acceptability of diet and exercise interventions for cachexia management. The study will use retrospective data from the Florida Pancreas Collaborative and prospective data from newly diagnosed patients at Moffitt Cancer Center.
Eligibility criteria
This trial does not accept healthy volunteersQualifiers
Age ≥ 18 years
Histologically or cytologically confirmed diagnosis of pancreatic exocrine malignancy (e.g.pancreatic ductal adenocarcinoma, acinar cell carcinoma, pancreatic adenosquamous carcinoma, etc.) or clinical features highly suggestive of such malignancy with diagnostic confirmation anticipated during the screening or early study period.
Presentation consistent with resectable, borderline resectable, local, or locally advanced, or metastatic disease
May or may not have had surgery
Disqualifiers
Pregnant or breastfeeding at the time of enrollment
Current use of tube feeding (enteral) or total parenteral nutrition
Presence of ascites or other findings suggestive of decompensated disease
Evidence or history of bowel obstruction or any gastrointestinal condition that may limit food intake
Trial population
Adults (≥18 years) with histologically or cytologically confirmed pancreatic ductal adenocarcinoma (PDAC), presenting with resectable, borderline resectable, or locally advanced nonmetastatic disease. ECOG performance status 0-2. Total enrollment includes 100 newly diagnosed pancreatic cancer patients (cross-sectional), a longitudinal subset of 50 patients followed for 9 months, and 20 oncology clinicians completing feasibility surveys.
Trial design
Cohort
Other
Treatments tested in this trial
Baseline Lifestyle and Symptom Assessment
Other interventionDietary questionnaire (VioScreen), symptom and QoL surveys (ESAS-r, FAACT, PROMIS PF, PG-SGA), physical activity survey (Modified GLTEQ), functional fitness tests, DEXA scans, blood draws.
Extended Lifestyle Monitoring
Other interventionWearable monitoring (Fitbit) and diet/physical activity preference survey at 9 months.
Feasibility Survey
Other interventionOne-time structured survey assessing integration of diet and exercise interventions into clinical workflow.
Treatment groups
Trial outcomes
Primary outcomes
AI Model Performance
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 Rate
Percentage of patients completing all scheduled questionnaires.
Wearable Adherence
Percentage of longitudinal participants syncing Fitbit weekly for ≥80% of study weeks.
Quality of Life Change
Mean change in FAACT total score from baseline to 9 months.
Sponsors and contacts
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H. Lee Moffitt Cancer Center and Research Institute
Lead sponsor
Florida Cancer Innovation Fund
Collaborator