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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 recept...
Autores principales: | , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10576408/ https://www.ncbi.nlm.nih.gov/pubmed/37833776 http://dx.doi.org/10.1186/s12933-023-01993-3 |
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author | Ceriello, Antonio Rodbard, Helena W. Battelino, Tadej Brosius, Frank Cosentino, Francesco Green, Jennifer Ji, Linong Kellerer, Monika Koob, Susan Kosiborod, Mikhail Lalic, Nebojsa Marx, Nikolaus Nedungadi, T. Prashant Parkin, Christopher G. Rydén, Lars Sheu, Wayne Huey-Herng Standl, Eberhard Vandvik, Per Olav Schnell, Oliver |
author_facet | Ceriello, Antonio Rodbard, Helena W. Battelino, Tadej Brosius, Frank Cosentino, Francesco Green, Jennifer Ji, Linong Kellerer, Monika Koob, Susan Kosiborod, Mikhail Lalic, Nebojsa Marx, Nikolaus Nedungadi, T. Prashant Parkin, Christopher G. Rydén, Lars Sheu, Wayne Huey-Herng Standl, Eberhard Vandvik, Per Olav Schnell, Oliver |
author_sort | Ceriello, Antonio |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-10576408 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-105764082023-10-15 Data from network meta-analyses can inform clinical practice guidelines and decision-making in diabetes management: perspectives of the taskforce of the guideline workshop Ceriello, Antonio Rodbard, Helena W. Battelino, Tadej Brosius, Frank Cosentino, Francesco Green, Jennifer Ji, Linong Kellerer, Monika Koob, Susan Kosiborod, Mikhail Lalic, Nebojsa Marx, Nikolaus Nedungadi, T. Prashant Parkin, Christopher G. Rydén, Lars Sheu, Wayne Huey-Herng Standl, Eberhard Vandvik, Per Olav Schnell, Oliver Cardiovasc Diabetol Comment 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. BioMed Central 2023-10-13 /pmc/articles/PMC10576408/ /pubmed/37833776 http://dx.doi.org/10.1186/s12933-023-01993-3 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Comment Ceriello, Antonio Rodbard, Helena W. Battelino, Tadej Brosius, Frank Cosentino, Francesco Green, Jennifer Ji, Linong Kellerer, Monika Koob, Susan Kosiborod, Mikhail Lalic, Nebojsa Marx, Nikolaus Nedungadi, T. Prashant Parkin, Christopher G. Rydén, Lars Sheu, Wayne Huey-Herng Standl, Eberhard Vandvik, Per Olav Schnell, Oliver Data from network meta-analyses can inform clinical practice guidelines and decision-making in diabetes management: perspectives of the taskforce of the guideline workshop |
title | Data from network meta-analyses can inform clinical practice guidelines and decision-making in diabetes management: perspectives of the taskforce of the guideline workshop |
title_full | Data from network meta-analyses can inform clinical practice guidelines and decision-making in diabetes management: perspectives of the taskforce of the guideline workshop |
title_fullStr | Data from network meta-analyses can inform clinical practice guidelines and decision-making in diabetes management: perspectives of the taskforce of the guideline workshop |
title_full_unstemmed | Data from network meta-analyses can inform clinical practice guidelines and decision-making in diabetes management: perspectives of the taskforce of the guideline workshop |
title_short | Data from network meta-analyses can inform clinical practice guidelines and decision-making in diabetes management: perspectives of the taskforce of the guideline workshop |
title_sort | data from network meta-analyses can inform clinical practice guidelines and decision-making in diabetes management: perspectives of the taskforce of the guideline workshop |
topic | Comment |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10576408/ https://www.ncbi.nlm.nih.gov/pubmed/37833776 http://dx.doi.org/10.1186/s12933-023-01993-3 |
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