Cargando…

Meta‐analysed numbers needed to treat of novel antidiabetic drugs for cardiovascular outcomes

AIMS: Absolute treatment effects—i.e. numbers needed to treat (NNTs)—of novel antidiabetic drugs for cardiovascular outcomes have not been comprehensively evaluated. We aimed to perform a meta‐analysis of digitalized individual patient outcomes to display and compare absolute treatment effects. METH...

Descripción completa

Detalles Bibliográficos
Autores principales: Wolff, Georg, Lin, Yingfeng, Akbulut, Cihan, Brockmeyer, Maximilian, Parco, Claudio, Hoss, Alexander, Sokolowski, Alexander, Westenfeld, Ralf, Kelm, Malte, Roden, Michael, Schlesinger, Sabrina, Kuss, Oliver
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9871670/
https://www.ncbi.nlm.nih.gov/pubmed/36337026
http://dx.doi.org/10.1002/ehf2.14213
_version_ 1784877229713391616
author Wolff, Georg
Lin, Yingfeng
Akbulut, Cihan
Brockmeyer, Maximilian
Parco, Claudio
Hoss, Alexander
Sokolowski, Alexander
Westenfeld, Ralf
Kelm, Malte
Roden, Michael
Schlesinger, Sabrina
Kuss, Oliver
author_facet Wolff, Georg
Lin, Yingfeng
Akbulut, Cihan
Brockmeyer, Maximilian
Parco, Claudio
Hoss, Alexander
Sokolowski, Alexander
Westenfeld, Ralf
Kelm, Malte
Roden, Michael
Schlesinger, Sabrina
Kuss, Oliver
author_sort Wolff, Georg
collection PubMed
description AIMS: Absolute treatment effects—i.e. numbers needed to treat (NNTs)—of novel antidiabetic drugs for cardiovascular outcomes have not been comprehensively evaluated. We aimed to perform a meta‐analysis of digitalized individual patient outcomes to display and compare absolute treatment effects. METHODS AND RESULTS: Individual patient time‐to‐event information from Kaplan–Meier plots of cardiovascular mortality (CM) and/or hospitalization for heart failure (HHF) endpoints from cardiovascular outcome trials (CVOTs) evaluating dipeptidyl peptidase‐4 (DPP‐4) inhibitors, glucagon‐like peptide‐1 (GLP‐1) receptor agonists, and sodium glucose transporter 2 (SGLT2) inhibitors vs. placebo were digitalized using WebPlotDigitizer 4.2 and the R code of Guyot et al.; Weibull regression models were generated, validated, and used to estimate NNT for individual trials; random‐effects meta‐analysis generated Meta‐NNT with 95% confidence intervals. Sixteen CVOTs reported time‐to‐event information (14 in primary diabetes and 2 in primary heart failure populations). Thirteen studies including 96 860 patients were meta‐analysed for CM: At the median follow‐up of 30 months, Meta‐NNTs were 178 (64 to ∞ to −223) for DPP‐4 inhibitors, 261 (158 to 745) for GLP‐1 receptor agonists, and 118 (68 to 435) for SGLT2 inhibitors. Ten studies including 96 128 patients were meta‐analysed for HHF: At the median follow‐up of 29 months, estimated Meta‐NNTs were −644 (229 to ∞ to −134) for DPP‐4 inhibitors, 441 (184 to ∞ to −1100) for GLP‐1 receptor agonists, and 126 (91 to 208) for SGLT2 inhibitors. SGLT2 inhibitors were especially effective for HHF in primary heart failure populations [Meta‐NNT 25 (19 to 39)] vs. primary diabetes populations [Meta‐NNT 233 (167 to 385)] at 16 months of follow‐up. CONCLUSIONS: We found only modest treatment benefits of GLP‐1 receptor agonists and SGLT2 inhibitors for CM and HHF in primary type 2 diabetes mellitus populations. In primary heart failure populations, SGLT2 inhibitor benefits were substantial and comparable in efficacy to established heart failure medication.
format Online
Article
Text
id pubmed-9871670
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher John Wiley and Sons Inc.
record_format MEDLINE/PubMed
spelling pubmed-98716702023-01-25 Meta‐analysed numbers needed to treat of novel antidiabetic drugs for cardiovascular outcomes Wolff, Georg Lin, Yingfeng Akbulut, Cihan Brockmeyer, Maximilian Parco, Claudio Hoss, Alexander Sokolowski, Alexander Westenfeld, Ralf Kelm, Malte Roden, Michael Schlesinger, Sabrina Kuss, Oliver ESC Heart Fail Original Articles AIMS: Absolute treatment effects—i.e. numbers needed to treat (NNTs)—of novel antidiabetic drugs for cardiovascular outcomes have not been comprehensively evaluated. We aimed to perform a meta‐analysis of digitalized individual patient outcomes to display and compare absolute treatment effects. METHODS AND RESULTS: Individual patient time‐to‐event information from Kaplan–Meier plots of cardiovascular mortality (CM) and/or hospitalization for heart failure (HHF) endpoints from cardiovascular outcome trials (CVOTs) evaluating dipeptidyl peptidase‐4 (DPP‐4) inhibitors, glucagon‐like peptide‐1 (GLP‐1) receptor agonists, and sodium glucose transporter 2 (SGLT2) inhibitors vs. placebo were digitalized using WebPlotDigitizer 4.2 and the R code of Guyot et al.; Weibull regression models were generated, validated, and used to estimate NNT for individual trials; random‐effects meta‐analysis generated Meta‐NNT with 95% confidence intervals. Sixteen CVOTs reported time‐to‐event information (14 in primary diabetes and 2 in primary heart failure populations). Thirteen studies including 96 860 patients were meta‐analysed for CM: At the median follow‐up of 30 months, Meta‐NNTs were 178 (64 to ∞ to −223) for DPP‐4 inhibitors, 261 (158 to 745) for GLP‐1 receptor agonists, and 118 (68 to 435) for SGLT2 inhibitors. Ten studies including 96 128 patients were meta‐analysed for HHF: At the median follow‐up of 29 months, estimated Meta‐NNTs were −644 (229 to ∞ to −134) for DPP‐4 inhibitors, 441 (184 to ∞ to −1100) for GLP‐1 receptor agonists, and 126 (91 to 208) for SGLT2 inhibitors. SGLT2 inhibitors were especially effective for HHF in primary heart failure populations [Meta‐NNT 25 (19 to 39)] vs. primary diabetes populations [Meta‐NNT 233 (167 to 385)] at 16 months of follow‐up. CONCLUSIONS: We found only modest treatment benefits of GLP‐1 receptor agonists and SGLT2 inhibitors for CM and HHF in primary type 2 diabetes mellitus populations. In primary heart failure populations, SGLT2 inhibitor benefits were substantial and comparable in efficacy to established heart failure medication. John Wiley and Sons Inc. 2022-11-07 /pmc/articles/PMC9871670/ /pubmed/36337026 http://dx.doi.org/10.1002/ehf2.14213 Text en © 2022 The Authors. ESC Heart Failure published by John Wiley & Sons Ltd on behalf of European Society of Cardiology. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.
spellingShingle Original Articles
Wolff, Georg
Lin, Yingfeng
Akbulut, Cihan
Brockmeyer, Maximilian
Parco, Claudio
Hoss, Alexander
Sokolowski, Alexander
Westenfeld, Ralf
Kelm, Malte
Roden, Michael
Schlesinger, Sabrina
Kuss, Oliver
Meta‐analysed numbers needed to treat of novel antidiabetic drugs for cardiovascular outcomes
title Meta‐analysed numbers needed to treat of novel antidiabetic drugs for cardiovascular outcomes
title_full Meta‐analysed numbers needed to treat of novel antidiabetic drugs for cardiovascular outcomes
title_fullStr Meta‐analysed numbers needed to treat of novel antidiabetic drugs for cardiovascular outcomes
title_full_unstemmed Meta‐analysed numbers needed to treat of novel antidiabetic drugs for cardiovascular outcomes
title_short Meta‐analysed numbers needed to treat of novel antidiabetic drugs for cardiovascular outcomes
title_sort meta‐analysed numbers needed to treat of novel antidiabetic drugs for cardiovascular outcomes
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9871670/
https://www.ncbi.nlm.nih.gov/pubmed/36337026
http://dx.doi.org/10.1002/ehf2.14213
work_keys_str_mv AT wolffgeorg metaanalysednumbersneededtotreatofnovelantidiabeticdrugsforcardiovascularoutcomes
AT linyingfeng metaanalysednumbersneededtotreatofnovelantidiabeticdrugsforcardiovascularoutcomes
AT akbulutcihan metaanalysednumbersneededtotreatofnovelantidiabeticdrugsforcardiovascularoutcomes
AT brockmeyermaximilian metaanalysednumbersneededtotreatofnovelantidiabeticdrugsforcardiovascularoutcomes
AT parcoclaudio metaanalysednumbersneededtotreatofnovelantidiabeticdrugsforcardiovascularoutcomes
AT hossalexander metaanalysednumbersneededtotreatofnovelantidiabeticdrugsforcardiovascularoutcomes
AT sokolowskialexander metaanalysednumbersneededtotreatofnovelantidiabeticdrugsforcardiovascularoutcomes
AT westenfeldralf metaanalysednumbersneededtotreatofnovelantidiabeticdrugsforcardiovascularoutcomes
AT kelmmalte metaanalysednumbersneededtotreatofnovelantidiabeticdrugsforcardiovascularoutcomes
AT rodenmichael metaanalysednumbersneededtotreatofnovelantidiabeticdrugsforcardiovascularoutcomes
AT schlesingersabrina metaanalysednumbersneededtotreatofnovelantidiabeticdrugsforcardiovascularoutcomes
AT kussoliver metaanalysednumbersneededtotreatofnovelantidiabeticdrugsforcardiovascularoutcomes