An Electronic Health Record-Compatible Model to Predict Personalized Treatment Effects From the Diabetes Prevention Program: A Cross-Evidence Synthesis Approach Using Clinical Trial and Real-World Data
Mayo Clinic Proceedings
April 2022
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Full Citation
Kent DM, Nelson J, Pittas A, Colangelo F, Koenig C, van Klaveren D, Ciemins E, Cuddeback J. An Electronic Health Record-Compatible Model to Predict Personalized Treatment Effects From the Diabetes Prevention Program: A Cross-Evidence Synthesis Approach Using Clinical Trial and Real-World Data. Mayo Clin Proc. 2022 Apr;97(4):703-715. doi: 10.1016/j.mayocp.2021.09.012. Epub 2021 Nov 13. PMID: 34782125.
Tags
Journal Article Type
- Paper Resulting From PCORI-Funded Research Study (with results)
- Other Results
Journal Publication Name
- Mayo Clinic Proceedings
Literature Type
- PCORI Research