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Prospective Validation of an EHR-based Pancreatic Cancer Risk Model
Sponsor: Beth Israel Deaconess Medical Center
Summary
The goal of this prospective observational cohort study is to validate a previously developed pancreatic cancer risk prediction algorith (the PRISM model) using electronic health records from the general population. The main questions it aims to answer are: * Will a pancreatic cancer risk model, developed on routine EHR data, reliably and accurately predict pancreatic cancer in real-time? * What is the average time from model deployment and risk prediction, to the date of pancreatic cancer development and what is the stage of pancreatic cancer at diagnosis? The risk model will be deployed on data from individuals eligible for the study. Each individual will be assigned a risk score and tracked over time to assess the model's discriminatory performance and calibration.
Official title: Prospective Validation of an EHR-based Model to Predict Pancreatic Cancer Risk Using Multicenter US Data
Key Details
Gender
All
Age Range
40 Years - 100 Years
Study Type
OBSERVATIONAL
Enrollment
6134060
Start Date
2023-04-21
Completion Date
2026-09
Last Updated
2026-02-09
Healthy Volunteers
Yes
Interventions
Pancreatic Cancer Risk Model (PRISM)
A neural network model (PrismNN) and a logistic regression model (PrismLR) that use routinely collected EHR data to stratify individuals from the general population into PDAC risk groups
Locations (1)
Beth Israel Deaconess Medical Center
Boston, Massachusetts, United States