Understanding diabetes heterogeneity: key steps towards precision medicine in diabetes
Diabetes is a highly heterogeneous condition; yet, it is diagnosed by measuring a single
blood-borne metabolite, glucose, irrespective of aetiology. Although pragmatically helpful …
blood-borne metabolite, glucose, irrespective of aetiology. Although pragmatically helpful …
Precision medicine for cardiometabolic disease: a framework for clinical translation
Cardiometabolic disease is a major threat to global health. Precision medicine has great
potential to help to reduce the burden of this common and complex disease cluster, and to …
potential to help to reduce the burden of this common and complex disease cluster, and to …
The case for precision medicine in the prevention, diagnosis, and treatment of cardiometabolic diseases in low-income and middle-income countries
Cardiometabolic diseases are the leading preventable causes of death in most
geographies. The causes, clinical presentations, and pathogenesis of cardiometabolic …
geographies. The causes, clinical presentations, and pathogenesis of cardiometabolic …
Beyond population‐level targets for drug concentrations: precision dosing needs individual‐level targets that include superior biomarkers of drug responses
TM Polasek, RW Peck - Clinical Pharmacology & Therapeutics, 2024 - Wiley Online Library
The purpose of precision dosing is to increase the chances of therapeutic success in
individual patients. This is achieved in practice by adjusting doses to reach precision dosing …
individual patients. This is achieved in practice by adjusting doses to reach precision dosing …
Dirichlet process mixture models to impute missing predictor data in counterfactual prediction models: an application to predict optimal type 2 diabetes therapy
P Cardoso, JM Dennis, J Bowden, BM Shields… - BMC Medical Informatics …, 2024 - Springer
Background The handling of missing data is a challenge for inference and regression
modelling. A particular challenge is dealing with missing predictor information, particularly …
modelling. A particular challenge is dealing with missing predictor information, particularly …
Comparison of causal forest and regression-based approaches to evaluate treatment effect heterogeneity: an application for type 2 diabetes precision medicine
A Venkatasubramaniam, BA Mateen… - BMC Medical Informatics …, 2023 - Springer
Objective Precision medicine requires reliable identification of variation in patient-level
outcomes with different available treatments, often termed treatment effect heterogeneity. We …
outcomes with different available treatments, often termed treatment effect heterogeneity. We …
A systematic review of the value of clinical decision support systems in the prescription of antidiabetic drugs
NE Tlili, L Robert, E Gerard, M Lemaitre… - International Journal of …, 2024 - Elsevier
Introduction The management of chronic diabetes mellitus and its complications demands
customized glycaemia control strategies. Polypharmacy is prevalent among people with …
customized glycaemia control strategies. Polypharmacy is prevalent among people with …
[HTML][HTML] Metabolic effects of SGLT2i and metformin on 3-hydroxybutyric acid and lactate in db/db mice
M Harada, S Han, M Shi, J Ge, S Yu, J Adam… - International Journal of …, 2024 - Elsevier
Abstract Combining a Sodium-Glucose-Cotransporter-2-inhibitor (SGLT2i) with metformin is
recommended for managing hyperglycemia in patients with type 2 diabetes (T2D) who have …
recommended for managing hyperglycemia in patients with type 2 diabetes (T2D) who have …
[HTML][HTML] Precision medicine in type 2 diabetes: A systematic review of treatment effect heterogeneity for GLP1-receptor agonists and SGLT2-inhibitors
Background: A precision medicine approach in type 2 diabetes requires identification of
clinical and biological features that are reproducibly associated with differences in clinical …
clinical and biological features that are reproducibly associated with differences in clinical …
Diabetes and obesity: leveraging heterogeneity for precision medicine
PW Franks, JL Sargent - European Heart Journal, 2024 - academic.oup.com
The increasing prevalence of diabetes, obesity, and their cardiometabolic sequelae present
major global health challenges and highlight shortfalls of current approaches to the …
major global health challenges and highlight shortfalls of current approaches to the …