Predicting Type 2 Diabetes and Testosterone Effects in high-risk Australian men: Development and external validation of a 2 year risk model.

Objective: We have shown that men aged 50 years+ at high risk of type 2 diabetes treated with testosterone together with a lifestyle program reduced the risk of type 2 diabetes at two years by 40% compared to a lifestyle program alone. To develop a personalized approach to treatment, we aimed to explore a prognostic model for incident type 2 diabetes at two years and investigate biomarkers predictive of the testosterone effect.

Design: Model development in 783 men with impaired glucose tolerance but not type 2 diabetes from T4DM; a multicenter, 2-year trial of Testosterone vs placebo.

Comparison of cardiovascular risk prediction in type 1 diabetes: an Australian viewpoint.

Cardiovascular disease (CVD) is a significant burden in individuals with type 1 diabetes mellitus (T1DM). Yet the optimal method of CVD risk stratification remains uncertain. We found that the new Australian CVD risk calculator could overestimate risk category compared with the Steno Type 1 Risk Engine and underestimate risk category compared with the new Swedish/Scottish prediction tool, both of which were validated for T1DM.

Associations between subclinical thyroid dysfunction and cardiovascular risk factors according to age and sex.

Context: Subclinical thyroid dysfunction (ScTD) comprising subclinical hypothyroidism (SHypo) and subclinical hyperthyroidism (SHyper) has been associated with increased risk for cardiovascular events.

Objective: To assess associations between ScTD and cardiovascular risk factors (cvRFs) according to age and sex.

Design And Setting: Pooled individual participant data analysis of large prospective cohort studies from the Thyroid Studies Collaboration.

Sociodemographic, lifestyle, and medical factors associated with calculated free testosterone concentrations in men: individual participant data meta-analyses.

Objective: Sociodemographic, lifestyle, and medical variables influence total testosterone (T) and sex hormone-binding globulin (SHBG) concentrations. The relationship between these factors and "free" T remains unclear. We examined 21 sociodemographic, lifestyle, and medical predictors influencing calculated free T (cFT) in community-dwelling men across ages.