Identifying patient characteristics predictive of treatment response is crucial for optimizing type 2 diabetes outcomes. Using data from three phase 2/3 imeglimin trials in Japan, this analysis applied machine learning to determine characteristics associated with HbA1c improvement.
Katsuhiko Hagi +4 more
wiley +1 more source
Efficacy and Safety of Vildagliptin Versus Other Dipeptidyl Peptidase 4 (DPP-4) Inhibitors in the Management of Type 2 Diabetes Mellitus: A Systematic Review of Randomized Controlled Trials. [PDF]
Selvaraj V.
europepmc +1 more source
Comparative cardiovascular risk of sulfonylureas with low- and high-affinities for cardiac mitochondrial adenosine triphosphate-sensitive potassium channels versus dipeptidyl peptidase-4 inhibitors in patients with type 2 diabetes: A cohort study. [PDF]
Chen MH +8 more
europepmc +1 more source
Macrophage modulation with dipeptidyl peptidase-4 inhibitors: A new frontier for treating diabetic cardiomyopathy? [PDF]
Mohammadi S, Al-Harrasi A.
europepmc +1 more source
Glucagon-like peptide-1 receptor analog use is associated with reduced thromboembolic events compared with dipeptidyl peptidase-4 inhibitors in rheumatoid arthritis patients: A global retrospective cohort study. [PDF]
Wang Q, Anthony DD.
europepmc +1 more source
International Journal of Dermatology, Volume 65, Issue 2, Page 356-358, February 2026.
Noor Mruwat +3 more
wiley +1 more source
Association between daily dose of dipeptidyl peptidase-4 inhibitors and change in glycated hemoglobin in patients with type 2 diabetes: interpretation of mixed-effects machine-learning models using electronic medical records. [PDF]
Hayakawa T +5 more
europepmc +1 more source
Correction to "Effects of dipeptidyl peptidase-4 inhibitor linagliptin versus sulphonylurea glimepiride on systemic haemodynamics in overweight patients with type 2 diabetes: A secondary analysis of an 8-week, randomized, controlled, double-blind trial". [PDF]
europepmc +1 more source

