Data from network meta-analyses can inform clinical practice guidelines and decision-making in diabetes management: perspectives of the taskforce of the guideline workshop

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作者
Antonio Ceriello
Helena W. Rodbard
Tadej Battelino
Frank Brosius
Francesco Cosentino
Jennifer Green
Linong Ji
Monika Kellerer
Susan Koob
Mikhail Kosiborod
Nebojsa Lalic
Nikolaus Marx
T. Prashant Nedungadi
Christopher G. Parkin
Lars Rydén
Wayne Huey-Herng Sheu
Eberhard Standl
Per Olav Vandvik
Oliver Schnell
机构
[1] IRCCS MultiMedica,University Medical Center Ljubljana, and Faculty of Medicine
[2] Endocrine and Metabolic Consultants,Cardiology Unit, Department of Medicine
[3] University of Ljubljana,University Clinical Center of Serbia
[4] University of Arizona College of Medicine,Department of Internal Medicine I
[5] Karolinska Institute and Karolinska University Hospital,Department of Medicine K2
[6] Duke University Medical Center,Institute of Molecular and Genomic Medicine
[7] Duke Clinical Research Institute,Institute of Health and Society
[8] Peking University People’s Hospital,undefined
[9] Marienhospital Stuttgart,undefined
[10] PCNA National Office,undefined
[11] Saint Luke’s Mid America Heart Institute and University of Missouri-Kansas City,undefined
[12] The George Institute for Global Health and University of New South Wales,undefined
[13] University of Belgrade,undefined
[14] University Hospital Aachen,undefined
[15] RWTH Aachen University,undefined
[16] American Heart Association,undefined
[17] CGParkin Communications,undefined
[18] Inc.,undefined
[19] Karolinska Institute,undefined
[20] National Research Health Institutes,undefined
[21] Forschergruppe Diabetes E. V,undefined
[22] University of Oslo,undefined
来源
关键词
Network meta-analysis; Randomized controlled trial; Sodium glucose cotransporter 2 inhibitor; Glucose-dependent insulinotropic polypeptide; (GIP RA); Glucagon-like peptide-1 receptor agonist (GLP-1 RA); Tirzepatide; Finerenone;
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摘要
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.
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