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1. The Effect of Metformin Treatment on the Circulating Proteome

2. Apolipoprotein-CIII O-Glycosylation Is Associated with Micro- and Macrovascular Complications of Type 2 Diabetes

4. Previous Exercise Levels and Outcome in Patients with New Atrial Fibrillation: ‘Past Achievements Do Not Predict the Future’

10. Multi-omics subgroups associated with glycaemic deterioration in type 2 diabetes: an IMI-RHAPSODY Study

12. Cost-effectiveness of 2 Models of Pessary Care for Pelvic Organ Prolapse: Findings From the TOPSY Randomized Controlled Trial

15. An omics-based machine learning approach to predict diabetes progression: a RHAPSODY study

18. Predictive value of the PRAETORIAN score for defibrillation test success in patients with subcutaneous ICD: A subanalysis of the PRAETORIAN-DFT trial

20. Using routine primary care data to assess Sudden Cardiac Arrest risk in people with type 2 diabetes: a proof-of-concept case-control study

21. A meta-analysis of previous falls and subsequent fracture risk in cohort studies

23. Clinical effectiveness of vaginal pessary self-management vs clinic-based care for pelvic organ prolapse (TOPSY): a randomised controlled superiority trial

29. Apolipoprotein-CIII O-Glycosylation, a Link between GALNT2 and Plasma Lipids

31. Life expectancy associated with different ages at diagnosis of type 2 diabetes in high-income countries: 23 million person-years of observation

35. Microvascular endothelial dysfunction in skin is associated with higher risk of heart failure with preserved ejection fraction in women with type 2 diabetes: the Hoorn Diabetes Care System Cohort

36. Previous fracture and subsequent fracture risk: a meta-analysis to update FRAX

41. IgG N‐glycans are associated with prevalent and incident complications of type 2 diabetes

44. Patient-reported outcomes for people with diabetes: what and how to measure? A narrative review

48. Potential Value of Identifying Type 2 Diabetes Subgroups for Guiding Intensive Treatment: A Comparison of Novel Data-Driven Clustering With Risk-Driven Subgroups

50. Identification of biomarkers for glycaemic deterioration in type 2 diabetes

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