Introduction External validation of prediction models is increasingly being seen as a
minimum requirement for acceptance in clinical practice. However, the lack of …

Background Clinical prediction models have been developed for hospitalization for heart
failure in type 2 diabetes. However, a systematic evaluation of these models' performance …

OBJECTIVE To develop and validate a novel, machine learning–derived model to predict
the risk of heart failure (HF) among patients with type 2 diabetes mellitus (T2DM) …

Objective To provide a systematic review, critical appraisal, assessment of performance and
generalisability of all the reported prognostic models for heart failure (HF) in patients with …

Background Antidiabetic therapies have shown disparate effects on hospitalization for heart
failure (HHF) in clinical trials. This study developed a prediction model for HHF in type 2 …

Background To examine patient characteristics that may modulate the heterogeneous
treatment effect of intensive systolic blood pressure control (SBP) and intensive glycemic …

Objective To develop and externally validate risk prediction equations to estimate the 10-
year risk of heart failure in patients with diabetes, aged 25–84 years. Design Cohort study …

Introduction Cardiovascular disease is a leading cause of mortality in people with type 2
diabetes mellitus (T2DM). Beginning in 2015, long-term cardiovascular outcomes trials …

OBJECTIVE Heart failure (HF) often develops in patients with diabetes and is recognized for
its role in increased cardiovascular morbidity and mortality in this population. Most existing …

Objectives The cardiovascular outcomes challenge examined the predictive accuracy of 10
diabetes models in estimating hard outcomes in 2 recent cardiovascular outcomes trials …