Prof Dianna Magliano
Honorary (Professorial Fellow)
Baker Department of Cardiometabolic Health
568 Scholarly works
1 Projects
HIGHLIGHTS
2026
Journal article
Lipidomic analyses of large cohort studies define the role of lipid metabolism in bridging diet and cardio-metabolic health
DOI: 10.1038/s41467-026-71133-42026
Journal article
Age- and sex-specific trends in dementia mortality among people with and without diabetes: a multi-country population-based analysis
DOI: 10.1007/s00125-026-06725-22026
Journal article
Comparing dementia prevalence in Australians with and without diabetes across sociodemographic groups: Findings from the 2021 national census
DOI: 10.1177/138728772614422272026
Journal article
The impact of post-acute sequelae of COVID-19 on cardiac function and structure: A systematic review and a hybrid individual participant data meta-analysis
DOI: 10.1016/j.ajpc.2026.1014572026
Journal article
Higher HbA1c Following Younger Age of Transfer From Pediatric to Adult Type 1 Diabetes Services: Data From the Australasian Diabetes Data Network (ADDN) Registry.
DOI: 10.2337/dc25-30262026
Journal article
Obesity rise plateaus in developed nations and accelerates in developing nations
DOI: 10.1038/s41586-026-10383-02024
Research grants (other domestic)
Advancing Effective Prevention and Management of the Cardiovascular Complications of Diabetes Using Multinational Big Data and Prospective Studies
RECENT SCHOLARLY WORKS
2026
Journal article
Trends in cause-specific mortality among people with and without diabetes in high-income settings: a multinational, population-based study
DOI: 10.1016/S2213-8587(25)00398-52026
Journal article
Cardiovascular-Related Polypharmacy and Its Association with Liver and Kidney Function: A Cross-Sectional Study Using Primary Care Data
DOI: 10.1007/s40266-026-01297-72026
Journal article
A Clinical Lipidomics Platform: Development and Validation of a High-Throughput LC-MS Assay for Cardiovascular Disease Risk Assessment
DOI: 10.1021/acs.analchem.5c049842026
Journal article
Comparison of DXA, BIA, and anthropometry for assessing subcutaneous, visceral, liver, and pancreas fat measured by MRI
DOI: 10.1111/dom.70456