PRedictiOn Algorithms for the DeTECTion of Early Stage Pancreatic Cancer
Last updated on July 2021Recruitment
- Recruitment Status
- Recruiting
- Estimated Enrollment
- Same as current
Summary
- Conditions
- Pancreatic Cancer
- Pancreatic Ductal Adenocarcinoma
- Type
- Observational
- Design
- Observational Model: CohortTime Perspective: Prospective
Participation Requirements
- Age
- Between 50 years and 84 years
- Gender
- Both males and females
Description
The goal of this study is to establish a platform for development and implementation of a data-driven risk model for detection of early stage pancreatic cancer within an integrated health care setting. Patients at increased risk for pancreatic cancer as identified by the risk model will be invited t...
The goal of this study is to establish a platform for development and implementation of a data-driven risk model for detection of early stage pancreatic cancer within an integrated health care setting. Patients at increased risk for pancreatic cancer as identified by the risk model will be invited to participate in a prospective study to assess the accuracy of this approach for detection of early stage pancreatic cancer.
Tracking Information
- NCT #
- NCT04883450
- Collaborators
- National Cancer Institute (NCI)
- Investigators
- Principal Investigator: Bechien U Wu, MD, MPH Kaiser Permanente
Get Well Soon