Results 231 to 240 of about 3,997,149 (388)

Literature‐informed ensemble machine learning for three‐year diabetic kidney disease risk prediction in type 2 diabetes: Development, validation, and deployment of the PSMMC NephraRisk model

open access: yesDiabetes, Obesity and Metabolism, EarlyView.
Abstract Introduction Diabetic kidney disease (DKD) and diabetic nephropathy (DN) affect around 40% of diabetic patients but lack accurate risk prediction tools that include social determinants and demographic complexity. We developed and validated an ensemble machine learning model for three‐year DKD/DN risk prediction with deployment readiness ...
Ayla M. Tourkmani   +5 more
wiley   +1 more source

Antihypertensive drug classes and risk of incident dementia: a multinational population-based cohort study. [PDF]

open access: yesAge Ageing
Cheung ECL   +17 more
europepmc   +1 more source

Efficacy and safety of combining empagliflozin in people with type 2 diabetes mellitus uncontrolled with metformin and sitagliptin: A randomised, double‐blind, multicentre, therapeutic confirmatory phase 3 clinical trial

open access: yesDiabetes, Obesity and Metabolism, EarlyView.
Abstract Aim This study evaluated the efficacy and safety of empagliflozin 10 and 25 mg compared to placebo as add‐on treatment for people with type 2 diabetes mellitus (T2DM) uncontrolled after ≥8 weeks of treatment with metformin and sitagliptin. Materials and Methods A randomised, double‐blind, multicentre, therapeutic confirmatory, phase 3 clinical
Seung‐Hwan Lee   +15 more
wiley   +1 more source

Impact of Antihypertensive Drug Class on Outcomes in SPRINT. [PDF]

open access: yesHypertension, 2022
DeCarolis DD   +3 more
europepmc   +1 more source

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