Individual treatment effects of sodium-glucose co-transporter-2 inhibitors on the risk of chronic kidney disease in patients with type 2 diabetes: A counterfactual prediction model based on real-world data.

Sukanya Siriyotha Thitiya Lukkunaprasit Panu Looareesuwan Patratorn Kunakorntham Thunyarat Anothaisintawee Hataikarn Nimitphong Gareth J McKay John Richard Attia Ammarin Thakkinstian

Published in: Diabetes, obesity & metabolism (2024)

Our prediction model provides individualized information that helps target T2D patients who may benefit more from SGLT2is. This could help clinical decision making and implementation of personalized medicine in clinical practice, especially in resource-limited settings.

Keyphrases

chronic kidney disease
clinical practice
decision making
end stage renal disease
primary care
electronic health record
big data
quality improvement
machine learning
social media