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Absolute treatment effects of novel antidiabetic drugs on a composite renal outcome: meta-analysis of digitalized individual patient data

Abstract:
Background: Absolute treatment benefits—expressed as numbers needed to treat—of the glucose lowering and cardiovascular drugs, glucagon-like peptide-1 (GLP-1) receptor agonists and sodium-glucose transporter 2 (SGLT2) inhibitors on renal outcomes remain uncertain. With the present meta-analysis of digitalized individual patient data, we aimed to display and compare numbers needed to treat of both drugs on a composite renal outcome. Methods: From Kaplan–Meier plots of major cardiovascular outcome trials of GLP-1 receptor agonists and SGLT2 inhibitors vs. placebo, we digitalized individual patient time-to-event information on composite renal outcomes with WebPlotDigitizer 4.2; numbers needed to treat from individual cardiovascular outcome trials were estimated using parametric Weibull regression models and compared to original data. Random-effects meta-analysis generated meta-numbers needed to treat with 95% confidence intervals (CI). Results: Twelve cardiovascular outcome trials (three for GLP-1 receptor agonists, nine for SGLT2 inhibitors) comprising 90,865 participants were included. Eight trials were conducted in primary type 2 diabetes populations, two in a primary heart failure and two in a primary chronic kidney disease population. Mean estimated glomerular filtration rate at baseline ranged between 37.3 and 85.3 ml/min/1.73 m2. Meta-analyses estimated meta-numbers needed to treat of 85 (95% CI 60; 145) for GLP-1 receptor agonists and 104 (95% CI 81; 147) for SGLT2 inhibitors for the composite renal outcome at the overall median follow-up time of 36 months. Conclusion: The present meta-analysis of digitalized individual patient data revealed moderate and similar absolute treatment benefits of GLP-1 receptor agonists and SGLT2 inhibitors compared to placebo for a composite renal outcome. Graphical Abstract:
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1007/s40620-023-01858-8

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Institution:
University of Oxford
Division:
MSD
Department:
Nuffield Department of Population Health
Sub department:
NDM Experimental Medicine
Role:
Author


Publisher:
Springer
Journal:
Journal of Nephrology More from this journal
Volume:
37
Issue:
2
Pages:
309-321
Publication date:
2024-01-18
Acceptance date:
2023-11-29
DOI:
EISSN:
1724-6059


Language:
English
Keywords:
Pubs id:
2017547
Local pid:
pubs:2017547
Source identifiers:
1921622
Deposit date:
2024-07-20
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