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Aims/hypothesis: National clinical guidelines recommend that second-line treatment for type 2 diabetes mellitus is chosen according to individuals' characteristics but there is limited evidence available to inform this choice. This paper's aim is to compare the effects on HbA of sulfonylureas (SU), dipeptidyl peptidase-4 inhibitors (DPP4i) or sodium-glucose cotransporter-2 inhibitors (SGLT2i) added to metformin as second-line oral glucose-lowering treatments according to an individual's age, baseline HbA and presence of multiple long-term conditions (MLTCs).
Methods: We accessed primary care-hospital linked data for 41,790 individuals from the Clinical Practice Research Datalink (CPRD) in England who initiated second-line treatment after metformin between 2015 and 2021. We combined target trial emulation with instrumental variable analysis to reduce the risk of confounding. The outcome was change in HbA between baseline and 1 year follow-up. We reported results stratified by age (18-49 years, 50-69 years and ≥70 years), baseline HbA (<67 mmol/mol [<8.3%], 67-77 mmol/mol [8.3-9.2%] and >77 mmol/mol [>9.2%]) and presence of MLTCs.
Results: The mean (95% CI) difference in HbA change for SGLT2i vs SU was larger for people aged 18-49 years (-5.74 mmol/mol [-7.47, -4.01]) (-0.5% [-0.7, -0.4]) than for those aged 50-69 years (-4.03 mmol/mol [-5.61, -2.44]) (-0.4% [-0.5, -0.2]) and for those aged 70 years or over (-2.68 mmol/mol [-4.50, -0.86]) (-0.3% [-0.4, -0.07]). The mean (95% CI) difference in HbA change for SGLT2i vs DPP4i was -5.80 mmol/mol (-7.60, -4.00) (-0.5% [-0.7, -0.4]) for those aged 18-49 years, -4.13 mmol/mol (-5.82, -2.45) (-0.4% [-0.5, -0.2]) for those aged 50-69 years and -3.13 mmol/mol (-5.01, -1.24) (-0.3% [-0.4, -0.1]) for those aged ≥70 years. The mean difference (improvement) in HbA was similar across subgroups defined by baseline HbA or presence of MLTCs. For SGLT2i vs SU, the mean (95% CI) difference was -5.37 mmol/mol (-7.13, -3.62) (-0.5% [-0.6, -0.3]) for people without MLTC and -3.72 mmol/mol (-5.34, -2.10]) (-0.3% [-0.5, -0.2]) for people with MLTC. For SGLT2i vs DPP4i the corresponding estimated differences (95% CI) were -5.44 mmol/mol (-7.27, -3.61) (-0.5% [-0.7, -0.3]) for those without MLTC and -3.93 mmol/mol (-5.64, -2.21) (-0.3% [-0.5, -0.2]) for those with MLTC.
Conclusions/interpretation: Second-line treatment with SGLT2i is more effective than SU or DPP4i in reducing HbA across subgroups of people defined by age, baseline HbA and presence of MLTCs. Our evidence complements RCTs in using routinely available information on demographic characteristics, biomarkers and comorbidities to inform an individualised approach.
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http://dx.doi.org/10.1007/s00125-025-06447-x | DOI Listing |
Diabetes Ther
September 2025
Department of Diabetes and Endocrinology, Guy's and St Thomas' NHS Trust, London, UK.
Introduction: This post hoc analysis of an A Toujeo Observational Study (ATOS) aims to evaluate the real-world effectiveness and safety of insulin glargine 300 U/ml (Gla-300) in high-risk subgroups of insulin-naïve people with type 2 diabetes (PwT2D) from multiple geographical regions (Asia, the Middle East, North Africa, Latin America, and Eastern Europe).
Methods: In these post hoc analyses of ATOS, a real-world, 12-month, prospective study included 4422 insulin-naïve adults (age ≥ 18 years) with type 2 diabetes (T2D) uncontrolled (HbA > 7% and ≤ 11%) on one or more oral antidiabetic drugs (OADs) who initiated Gla-300 treatment as per routine practice. Primary and secondary endpoints were studied according to renal impairment (RI) status (without or with) and age group (≥ 70 years).
Diabet Med
September 2025
School of Medicine, The University of Queensland, Herston, Queensland, Australia.
Aims: To investigate the impact of a multidisciplinary preoperative diabetes clinic on glycaemic and clinical outcomes in adults undergoing elective noncardiac surgery.
Methods: Seventy-nine adults scheduled for elective noncardiac surgery with haemoglobin A1c (HbA) levels ≥64 mmol/mol (8.0%) were prospectively recruited.
J Clin Med
August 2025
Unit of Diabetes, Nutrition, and Metabolic Diseases, Faculty of Medicine, "Grigore T. Popa" University of Medicine and Pharmacy, 700115 Iasi, Romania.
: Asymptomatic left ventricular diastolic dysfunction (LVDD) occurs in type 2 diabetes mellitus (T2DM) patients, particularly among the elderly. : This study aimed to identify diastolic function changes over a 52-week follow-up and the predictive factors for LVDD in T2DM patients without atherosclerotic manifestations. : Diastolic function, metabolic profile, atherogenic indexes, and subclinical inflammatory markers were assessed at baseline and after one year in 138 T2DM outpatients.
View Article and Find Full Text PDFLancet Diabetes Endocrinol
August 2025
Department of Endocrinology and Metabolism, Zhongshan Hospital, Fudan University, Shanghai, China. Electronic address:
Background: Ecnoglutide is a novel biased GLP-1 receptor agonist that preferentially activates the cAMP pathway over β-arrestin recruitment. We aimed to assess both non-inferiority and superiority of ecnoglutide versus dulaglutide, also a GLP-1 receptor agonist, in patients with type 2 diabetes.
Methods: We conducted a 52-week, open-label, active-controlled, phase 3 trial at 52 hospitals in China.
Cardiovasc Diabetol
August 2025
Diabetes Trials Unit, Oxford Centre for Diabetes, Endocrinology and Metabolism, Radcliffe Department of Medicine, University of Oxford, Churchill Hospital, Old Road, Headington, Oxford, OX3 7LJ, UK.
Background: The objective of this study was to examine the degree to which conventional cardiovascular (CV) risk factor changes induced by once-weekly exenatide (EQW) might explain the placebo-controlled differences in CV outcomes observed in the Exenatide Study of Cardiovascular Event Lowering (EXSCEL).
Methods: We entered participant-level risk factor values over time into a validated type 2 diabetes-specific clinical outcomes model to estimate event rates, and compared simulated with observed relative risk changes in EXSCEL. We performed simulations for each participant to minimize uncertainty and to optimize confidence interval precision around risk point estimates.