PCORI Research Report: Using Different Data Sets to Test How Well Clinical Prediction Models Work to Predict Patients’ Risk of Heart Disease
April 2022 doi: 10.25302/09.2021.ME.160635555
Welcome to the Tufts PACE CPM Registry
The Predictive Analytics and Comparative Effectiveness (PACE) Center—led by David M. Kent, MD, MS at the Institute for Clinical Research and Health Policy Studies (ICRHPS) of Tufts Medical Center—presents the
Clinical Prediction Model (CPM) Registry
to help researchers and clinicians better understand the extent of cardiovascular and cerebrovascular disease CPM development and validation.
Featured Publications go to publications >>
Generalizability of Cardiovascular Disease Clinical Prediction Models: 158 Independent External Validations of 104 Unique Models
April 2022 15(4):e008487. doi: 10.1161/CIRCOUTCOMES.121.008487.PMID: 35354282; PMCID: PMC9015037.
News
- The PCORI Research Report for the project "Using Different Data Sets to Test How Well Clinical Prediction Models Work to Predict Patients' Risk of Heart Disease" has been published on the PCORI website for the study, and is now available here. This study focuses on validations of clinical prediction models (CPMs), using other data sets to look at how well CPMs for heart disease predict patients’ risks. We also looked at how to improve CPMs.