International registry for cancer patients evaluating the feasibility and clinical utility of an Artificial Intelligence-based precision oncology clinical trial matching tool, powered by a virtual tumor boards (VTB) program, and its clinical impact on pts with advanced cancer to facilitate clinical trial enrollment (CTE), as well as the financial impact, and potential outcomes of the intervention.
The SYNERGY Registry is an international prospective, observational cohort study of eligible adult and pediatric pts with advanced solid and hematological malignancies, for whom the decision to consider CTE has already been made by their primary providers (PP). Using a proprietary application programming interface (API) linked to existing electronic health records (EHR) platforms, individual clinical data is extracted, analyzed and matched to a parametric database of existing institutional and non-institutional CT. Machine learning algorithms allow for dynamic matching based on CT allocation and availability for optimized matching. Patients voluntarily enroll into the registry, which is non-interventional with no protocol-mandated tests/procedures - all treatment decisions are made at the discretion of PP in consultation with their pts, based on the AI CT matching report, and VTB support. CTE will be assessed on variables including biomarkers, barriers to enrollment. Study duration anticipated as \~36 mo (\~24-mo enrollment followed by 12 mo of data collection, to occur every 3 mo). The primary analysis will be performed 12 mo after last pt enrolled. The impact time to initiation of CTE on PFS and OS will be estimated by Kaplan-Meier and Cox multivariable survival analysis. Enrollment is ongoing, with a target of ≥50,000 patients.
Study Type
OBSERVATIONAL
Enrollment
50,000
Using a proprietary application programming interface (API) linked to existing electronic health records (EHR) platforms, individual clinical data is extracted, analyzed and matched to a parametric database of existing institutional and non-institutional CT. Machine learning algorithms allow for dynamic matching based on CT allocation and availability for optimized matching.
Massive Bio SYNERGY-AI site
Birmingham, Alabama, United States
RECRUITINGMassive Bio SYNERGY-AI site
Mobile, Alabama, United States
RECRUITINGMassive Bio SYNERGY-AI site
Scottsdale, Arizona, United States
RECRUITINGMassive Bio SYNERGY-AI site
Little Rock, Arkansas, United States
Proportion of patients Eligible for CTE versus Actual CTE
CTE Accrual
Time frame: Through study completion, an average of 1 year
Impact of CTE on Overall Survival (OS), estimated by Kaplan-Meier and Cox multivariable survival analysis
OS
Time frame: 4 years
Impact of CTE on Progression-Free Survival (PFS), estimated by Kaplan-Meier and Cox multivariable survival analysis
PFS
Time frame: 4 years
Identification of Barriers to CTE
To identify barriers to accruals to clinical trials, as measured and reported by a questionnaire
Time frame: Through study completion, an average of 1 year
Real World Data Analytics
To Analyze Individual Standard of Care Chemotherapy Utilization (nominal), across treatment lines (numeric); data will be combined and aggregated to report chemotherapy utilization rate (%).
Time frame: Through study completion, an average of 1 year
Virtual Tumor Board Utilization
VTB Use Rate
Time frame: Through study completion, an average of 1 year
Time from Intervention to Actual CTE (months)
Time to CTE
Time frame: Through study completion, an average of 1 year
This platform is for informational purposes only and does not constitute medical advice. Always consult a qualified healthcare professional.
Massive Bio SYNERGY-AI site
Duarte, California, United States
RECRUITINGMassive Bio SYNERGY-AI site
Irvine, California, United States
RECRUITINGMassive Bio SYNERGY-AI site
La Jolla, California, United States
RECRUITINGMassive Bio SYNERGY-AI site
Orange, California, United States
RECRUITINGMassive Bio SYNERGY-AI site
San Francisco, California, United States
RECRUITINGMassive Bio SYNERGY-AI site
Stanford, California, United States
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