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Cardiovascular Therapy Benefits of Novel Antidiabetic Drugs in Patients With Type 2 Diabetes Mellitus Complicated With Cardiovascular Disease: A Network Meta-Analysis

Shi S, Li X, Chen Y, Li J, Dai Y

Journal of diabetes, 2025

172 participants · 2 citations

Abstract

Objective: Provide an evidence-based basis for the selection of cardiovascular benefit drugs in Type 2 diabetes mellitus (T2DM) patients with cardiovascular disease (CVD).

Methods: Conduct a comprehensive search of all relevant literature from PubMed, Embase, Web of Science, Cochrane Library, and Clinical Trials.gov from their establishment until December 13, 2023, and select randomized controlled trials (RCTs) that meet the pre-established inclusion and exclusion criteria. Use the Cochrane bias risk assessment tool to evaluate the quality of the included literature. Use R 4.3.2 software to conduct network meta-analysis for drug category comparison.

Results: A total of 24 large-scale randomized controlled trials (RCTs) were included, including 19 intervention measures, and 172 803 patients participated in the study. The results of the network meta-analysis show that: GLP1RA (OR 0.89, 95% CI 0.81-0.97) and SGLT2i (OR 0.91, 95% CI 0.83-0.99) can reduce the occurrence of major adverse cardiovascular events (MACE), GLP1RA (OR 0.88, 95% CI 0.79-0.97) and SGLT2i (OR 0.89, 95% CI 0.81-0.99) reduced the risk of cardiovascular death. SGLT2i (OR 0.68, 95% CI 0.62-0.75) reduced the occurrence of hospitalization for heart failure, GLP1RA (OR 0.88, 95% CI 0.81-0.97) and SGLT2i (OR 0.89, 95% CI 0.80-0.97) reduced the occurrence of all-cause death.

Conclusion: In the comparison of new hypoglycemic drug classes, GLP1RA and SGLT2i reduced MACE, cardiovascular mortality and all-cause…

How strong is the evidence?

Evidence Hub reads this as a meta-analysis, done in people. Its evidence level is 1 of 5 (Highest · pooled evidence). Pooled evidence from several studies sits at the top of the evidence pyramid. Reported size: 172 participants or records.

How the five levels of evidence work. The level is assigned automatically from the abstract and can be wrong, so check the paper.

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