| Literature DB >> 34526024 |
Dario Giugliano1,2, Lorenzo Scappaticcio3,4, Miriam Longo3,4, Paola Caruso3,4, Maria Ida Maiorino5, Giuseppe Bellastella3, Antonio Ceriello6, Paolo Chiodini7, Katherine Esposito4,5.
Abstract
BACKGROUND: A meta-analysis is presented of cardiovascular outcome trials (CVOTs) comparing glucagon-like peptide-1 receptor agonists (GLP-1RA) versus placebo on cardiorenal outcomes in patients with type 2 diabetes mellitus (T2DM).Entities:
Keywords: Albiglutide; Cardiorenal outcomes; Cardiovascular outcome trials; Dulaglutide; Efpeglenatide; Exenatide; GLP-1RA; Liraglutide; Lixisenatide; Oral semaglutide; Semaglutide; Type 2 diabetes
Mesh:
Substances:
Year: 2021 PMID: 34526024 PMCID: PMC8442438 DOI: 10.1186/s12933-021-01366-8
Source DB: PubMed Journal: Cardiovasc Diabetol ISSN: 1475-2840 Impact factor: 9.951
Fig. 1Process of studies’ selection
Summary of CVOTs evaluating the cardioranal effects of GLP-1RAs in T2DM
| Trial/year of Publication | Study drug/mean follow up (years) | Participants (n) | Age mean (years) | Male sex (n, %) | Participants with established CV disease (n, %) | History of heart failure (n, %) | eGFR < 60 ml/min per 1.73 m2 (n, %) |
|---|---|---|---|---|---|---|---|
| ELIXA | Lixisenatide | 6068 | 60.3 | 3174 (69.3%) | 6068 (100%) | 1922 (20.3%) | 1407 (23.2%) |
| 2015 | 2.1 year | ||||||
| LEADER | Liraglutide | 9340 | 64.3 | 6003 (64.3%) | 6764 (72.4%) | 1667 (17.8%) | 2158 (23.1%) |
| 2016 | 3.8 year | ||||||
| SUSTAIN-6 | Semaglutide | 3297 | 64.6 | 2002 (60.7%) | 2735 (83%) | 777 (23.6%) | 939 (28.5%) |
| 2016 | 3.1 year | ||||||
| EXSCEL | Eenatide OW | 14,752 | 62.0 | 9149 (62%) | 10,792 (73.1%) | 2389 (16.2%) | 3191 (21.6%) |
| 2017 | 3.2 year | ||||||
| HARMONY | Albiglutide | 9463 | 64.1 | 6569 (69.4%) | 9463 (100%) | 1922 (20.3%) | NR |
| 2018 | 1.6 year | ||||||
| REWIND | Dulaglutide | 9901 | 66.2 | 5312 (53.7%) | 3109 (31.4%) | 853 (8.6%) | 2199 (22.2%) |
| 2019 | 5.4 year | ||||||
| PIONEER 6 | Semaglutide | 3183 | 66.0 | 2176 (68.4%) | 2695 (84.7%) | 388 (12.2%) | 856 (26.8%) |
| 2019 | 1.3 year | ||||||
| AMPLITUDE-O | Efpeglenatide | 4076 | 64.5 | 2732 (67%) | 3650 (89.6%) | 737 (18.1%) | 1287 (31.6%) |
| 2021 | 1.8 year |
Fig. 2Cochrane risk of bias (graph) for the 8 trials
Fig. 3Forest plots of meta-analysis of the eight CVOTs with GLP-1RA on MACE. The results are expressed as HR (hazard ratio)
Results of planned meta-analyses with random effects
| Outcome | Trials (n) | Estimate (HR) | 95% CI | P value of HR | I2 (%) | P value of I2 |
|---|---|---|---|---|---|---|
| MACE | ||||||
| All | 8 | 0.86 | 0.79–0.94 | 0.006 | 50.0 | 0.080 |
| Prior CVD | 6 | 0.84 | 0.79–0.90 | < 0.001 | 6.1 | 0.370 |
| No prior CVD | 6 | 0.94 | 0.83–1.06 | 0.330 | 0.0 | 0.420 |
| CV mortality | 8 | 0.87 | 0.78–0.96 | 0.016 | 18.7 | 0.330 |
| Non-fatal MI | 8 | 0.91 | 0.81–1.01 | 0.078 | 34.6 | 0.170 |
| Non-fatal stroke | 8 | 0.84 | 0.76–0.94 | 0.007 | 0.0 | 0.580 |
| Heart failure | 8 | 0.90 | 0.83–0.98 | 0.023 | 0.0 | 0.670 |
| All-cause mortality | 8 | 0.88 | 0.80–0.96 | 0.012 | 26.3 | 0.350 |
| Renal endpoints | 6 | 0.83 | 0.73–0.94 | < 0.012 | 36.5 | 0.280 |
| New macro | 6 | 0.74 | 0.67–0.82 | < 0.001 | 11.0 | 0.370 |
Macro macroalbuminuria
Fig. 4Forest plots of meta-analysis of the six CVOTs with GLP-1RA on MACE, in patients with history of CV disease (top) or in patients without such a history (bottom)
Fig. 5Forest plots of meta-analysis of the eight CVOTs with GLP-1RA on CV mortality
Fig. 6Forest plots of meta-analysis of the eight CVOTs with GLP-1RA on nonfatal stroke
Fig. 7Forest plots of meta-analysis of the eight CVOTs with GLP-1RA on nonfatal myocardial infarction
Fig. 8Forest plots of meta-analysis of the eight CVOTs with GLP-1RA on hospitalization for heart failure
Fig. 9Forest plots of meta-analysis of the eight CVOTs with GLP-1RA on composite renal endpoint
Fig. 10Forest plots of meta-analysis of the eight CVOTs with GLP-1RA on incidence of new macroalbuminuria