ReviewCurrent diabetes reports2025
Impact of SGLT2 Inhibitors on Lipoproteins in Type 2 Diabetes.
Review in Current diabetes reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
7 citing papers in PubMed.
- Management of dyslipidaemia in patients with comorbidities-facing the challenge: heart failure.European heart journal. Cardiovascular pharmacotherapy · 2026Review
- Lipid management in type 2 diabetes and non-HDL-cholesterol: target all atherogenic lipoproteins.Cardiovascular diabetology · 2026Review
- Real-World Experience With Dapagliflozin in Non-diabetic Chronic Kidney Disease: A Case Series From India.Cureus · 2026Article
- Sodium-Glucose Cotransporter-2 Inhibitors in Diabetes and Beyond: Mechanisms, Pleiotropic Benefits, and Clinical Use-Reviewing Protective Effects Exceeding Glycemic Control.Molecules (Basel, Switzerland) · 2025Review
- Sodium-glucose cotransporter 2 inhibitors and atherosclerosis.American journal of preventive cardiology · 2025Review
- Nephroprotective Mechanisms of SGLT2i: Beyond the Glucose-Lowering Effect.Biomedicines · 2025Review
- Apolipoprotein B in the Risk Assessment, Diagnosis, and Treatment of Cardiometabolic Diseases.Cardiology and cardiovascular medicine · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purpose of reviewThis article explores the cardiovascular effects of sodium-glucose cotransporter 2 inhibitors (SGLT2i) in patients with type 2 diabetes mellitus (T2DM), with a particular focus on their impact on lipid profiles. As evidence grows of the cardiovascular benefits of SGLT2i beyond glucose control, it is essential to better understand their effects on lipoproteins and their impact on cardiovascular disease. RECENT
findingsSGLT2i have shown significant cardiovascular benefits in patients with type 2 diabetes mellitus, beyond their role in lowering blood glucose. Studies indicate that SGLT2i reduce major adverse cardiovascular events by impacting factors such as blood pressure, body weight, and arterial stiffness. However, their effects on lipid profile remain complex and somewhat inconsistent. Some research points to modest increases in LDL cholesterol, while others report shifts toward less atherogenic lipid profile, including reductions in triglycerides and small, dense LDL particles, and increases in HDL-C. SGLT2i represent a significant advancement in managing diabetes and associated cardiovascular risks, with benefits such as triglyceride reduction and HDL-C increase. While their impact on LDL-C remains controversial and varies across studies, the reduction of small, dense LDL particles may mitigate negative effects. This article highlights the need for future research to better understand the specific mechanisms behind lipid modulation.
Indexed as
Identifiers
39762665What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.