Review of Cardiovascular Effects of Antidiabetic Drugs and Recent Cardiovascular Outcome Trials

2016 ◽  
Vol 17 (1) ◽  
pp. 1
Author(s):  
So Hun Kim
2019 ◽  
Vol 13 (3) ◽  
pp. 204-211 ◽  
Author(s):  
Osamah M. Alfayez ◽  
Majed S. Al Yami ◽  
Mohannad Alshibani ◽  
Saad B. Fallatah ◽  
Nasser M. Al Khushaym ◽  
...  

2021 ◽  
Vol 17 ◽  
Author(s):  
Debdipta Bose ◽  
Mahanjit Konwar

Background: It is essential for Randomized controlled trials [RCTs] to report its results in a comprehensive manner. Hence, it is necessary to assess the robustness of the trials with statistically significant and as well as non-significant results. Robustness can be evaluated using fragility index (FI) and reverse fragility index [RFI] is for trials with statistically significant and as well as non-significant results. The primary aim of this study was to calculate FI and RFI for cardiovascular outcome trials [CVOT]. Materials & Methods: PubMed/MEDLINE was searched to identify all RCTs of antidiabetic drugs where the primary objective was to evaluate the cardiovascular outcomes. We recorded the trial characteristics of each CVOT trial. The FI, RFI, Fragility quotient [FQ] and reverse fragility quotient [FQ] was calculated to evaluate the robustness of the trials. Spearman rank correlation test was used for correlation. Findings: A total of 889 studies were identified and 24 RCTs was included. Among the 24 trials, 12 [50%] trials achieved statistical significance. The median FI and RFI were 29 [4-12] and 22.5 [1-37] for trials with statistically significant and non-significant results. The median FQ and RFQ were 0.0075 [0.002-0.013] and 0.0003 [0.0001-0.004] for trials with statistically significant and non-significant results. The hazard ratio, p value and NNT-B had strong negative relation with FI. Interpretation: Our study showed that half of the trials showing superiority of cardioprotective benefits have favourable FI. The trials failed to show superiority also have a reasonable RFI indicating the robustness of these trials. But the results pf the trials where patients lost to follow-up exceed the FI of that trial demands caution during interpretation.


Cardiology ◽  
2020 ◽  
Vol 145 (6) ◽  
pp. 370-374
Author(s):  
Pierre Ambrosi ◽  
Aurélie Daumas ◽  
Patrick Villani ◽  
Roch Giorgi

Background and Objectives: The value of glycosylated hemoglobin (HbA1c) as a surrogate marker for the prevention of cardiovascular outcomes on antidiabetic drugs is debated. The 2008 FDA guidance led to multiple large clinical trials to evaluate the effect of new antidiabetic drugs versus placebo on major adverse cardiac events (MACE). The aim of this study was to evaluate the relation between MACE and HbA1c decrease between antidiabetic drug and placebo across the spectrum of cardiovascular outcome trials (CVOT). Methods: In this systematic review, we included randomized controlled trials that compared an antidiabetic drug to placebo in addition to current standard of care with the primary intention of demonstrating cardiovascular safety. We investigated the relationship between MACE decrease on antidiabetic drug and HbA1c reduction on antidiabetic drug using the coefficient correlation. We also studied the effects of potential confounders on MACE decrease. Results: Fourteen eligible trials including 128,149 patients were included, 12,114 of whom experienced MACE. Mean achieved HbA1c absolute reductions on antidiabetic treatment versus placebo varied from 0.29 to 1%. The decrease of MACE on antidiabetic drug was significantly correlated with mean HbA1c reduction (r = 0.88, 95% CI: 0.67–0.96, p < 0.001) and weight loss (r = 0.81, 95% CI: 0.46–0.94, p < 0.001). In a bivariate model including weight loss, only HbA1c reduction remained significantly correlated with the decrease of MACE on antidiabetic drug (p = 0.019). Conclusion: Across CVOT, the decrease in MACE incidence on various antidiabetic drugs is significantly correlated with HbA1c reduction. This meta-analysis supports HbA1c as an appropriate surrogate endpoint for cardiovascular events. Our analysis supports that changes in HbA1c should be taken into account while interpreting effects of new antidiabetic drugs on cardiovascular outcomes.


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