Introduction: In randomized controlled trials (RCTs), treatment effects are commonly reported as hazard ratio, a measure often misinterpreted as a relative risk reduction. The acceleration factor (AF) indicates the extent to which a treatment increases/decreases the time before the occurrence of an outcome and gives useful insights in the interpretation of trials’ results. Methods: Using individual time-to-event data reconstructed from Kaplan-Meier plots, we estimated AFs for the primary outcomes (POs) and all-cause mortality in glucagon-like peptide-1 receptor agonists (GLP1-RAs) or sodium-glucose cotransporter-2 inhibitors (SGLT2-is) cardiorenal outcome trials in subjects with type 2 diabetes. Results: AFs were estimated from 28 Kaplan-Meier plots of 19 RCTs. Compared to placebo, most GLP1-RAs increased the time before the onset of POs (from 9 % to 59 %) and all-cause mortality (from 8 to 13 %). Similarly, SGLT2-is increased time before the onset of POs (from 19 % to 87 %) and all-cause mortality (from 13 % to 42 %). Conclusions: The AFs provide a complementary and easier-to-interpret measure of treatment effect that could be useful to improve the shared decision-making.
Rizzi, A., Kloecker, D. E., Pitocco, D., Khunti, K., Davies, M. J., Zaccardi, F., Effect of glucagon-like peptide-1 receptor agonists and sodium-glucose cotransporter-2 inhibitors on time to outcome in type 2 diabetes cardiorenal outcome trials, <<DIABETES & METABOLIC SYNDROME>>, 2024; 18 (2): N/A-N/A. [doi:10.1016/j.dsx.2024.102945] [https://hdl.handle.net/10807/314276]
Effect of glucagon-like peptide-1 receptor agonists and sodium-glucose cotransporter-2 inhibitors on time to outcome in type 2 diabetes cardiorenal outcome trials
Rizzi, Alessandro
;Pitocco, Dario;
2024
Abstract
Introduction: In randomized controlled trials (RCTs), treatment effects are commonly reported as hazard ratio, a measure often misinterpreted as a relative risk reduction. The acceleration factor (AF) indicates the extent to which a treatment increases/decreases the time before the occurrence of an outcome and gives useful insights in the interpretation of trials’ results. Methods: Using individual time-to-event data reconstructed from Kaplan-Meier plots, we estimated AFs for the primary outcomes (POs) and all-cause mortality in glucagon-like peptide-1 receptor agonists (GLP1-RAs) or sodium-glucose cotransporter-2 inhibitors (SGLT2-is) cardiorenal outcome trials in subjects with type 2 diabetes. Results: AFs were estimated from 28 Kaplan-Meier plots of 19 RCTs. Compared to placebo, most GLP1-RAs increased the time before the onset of POs (from 9 % to 59 %) and all-cause mortality (from 8 to 13 %). Similarly, SGLT2-is increased time before the onset of POs (from 19 % to 87 %) and all-cause mortality (from 13 % to 42 %). Conclusions: The AFs provide a complementary and easier-to-interpret measure of treatment effect that could be useful to improve the shared decision-making.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.



