Resources

SMART-C Presentations

SGLT2 Inhibitors and kidney outcomes by baseline glomerular filtration rate and albuminuria

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Net effects of SGLT2 inhibitors by diabetes status and albuminuria

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Efficacy and Safety of SGLT2 Inhibitors with and without GLP-1 receptor agonists

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Effects of SGLT2 inhibitors on major adverse cardiovascular outcomes

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Effects of SGLT2 inhibitors on clinical outcomes by diabetes status

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SMART-C GitHub

The SMART-C GitHub was established by the Consortium’s Analytics Lead, Rob Fletcher, to share standardised analytical approaches across collaborating trials, particularly for GFR slope. We aim to share with the broader medical research community reproducible syntax for this outcome for both R and SAS.

Modelling eGFR Slope

The SMART-C Github provides a step-by-step guide to modelling GFR slope in R, based on the methods used in the CREDENCE and DAPA-CKD trials. It also includes an accompanying reproducible example with synthetically generated data.

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