Data from network meta-analyses can inform clinical practice guidelines and decision-making in diabetes management: perspectives of the taskforce of the guideline workshop.
In recent years, several novel agents have become available to treat individuals with type 2 diabetes (T2D), such as sodium-glucose cotransporter-2 inhibitors (SGLT-2i), tirzepatide, which is a dual glucose-dependent insulinotropic polypeptide receptor agonist (GIP RA)/glucagon-like peptide-1 receptor agonist (GLP-1 RA), and finerenone, a non-steroidal mineralocorticoid receptor antagonist (MRA) that confers significant renal and cardiovascular benefits in individuals with (CKD). New medications have the potential to improve the lives of individuals with diabetes. However, clinicians are challenged to understand the benefits and potential risks associated with these new and emerging treatment options. In this article, we discuss how use of network meta-analyses (NMA) can fill this need.
Duke Scholars
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Related Subject Headings
- Sodium-Glucose Transporter 2 Inhibitors
- Network Meta-Analysis as Topic
- Kidney
- Hypoglycemic Agents
- Humans
- Glucagon-Like Peptide-1 Receptor
- Glucagon-Like Peptide 1
- Diabetes Mellitus, Type 2
- Cardiovascular System & Hematology
- 3201 Cardiovascular medicine and haematology
Citation
Published In
DOI
EISSN
Publication Date
Volume
Issue
Start / End Page
Location
Related Subject Headings
- Sodium-Glucose Transporter 2 Inhibitors
- Network Meta-Analysis as Topic
- Kidney
- Hypoglycemic Agents
- Humans
- Glucagon-Like Peptide-1 Receptor
- Glucagon-Like Peptide 1
- Diabetes Mellitus, Type 2
- Cardiovascular System & Hematology
- 3201 Cardiovascular medicine and haematology