Skip to main content
Log in

Cardiovascular outcome trials and major cardiovascular events: does glucose matter? A systematic review with meta-analysis

  • Rapid Communication
  • Published:
Journal of Endocrinological Investigation Aims and scope Submit manuscript

Abstract

Purpose

We did a meta-analysis with meta-regression to evaluate the relationship between hemoglobin A1c (A1C) reduction and the primary CV outcome of cardiovascular outcome trials (CVOTs).

Methods

We used a random effects meta-analysis of the 12 CVOTs to quantify the effect of A1C reduction on major cardiovascular events (MACE) risk by stratifying the difference in achieved A1C (drug vs placebo) in three strata: A1c < 0.3%, A1c ≥ 0.3% and < 0.5%, and A1c ≥ 0.5%.

Results

We found a relation between the reduction in achieved A1C and the hazard ratio reduction for MACE (P = 0.002), explaining almost all (94.1%) the between-study variances: lowering A1C by 0.5% conferred a significant HRR of 20% (95% CI 4–33%) for MACE.

Conclusions

Blood glucose reduction may play a more important role than previously thought in reducing the risk of MACE during treatment with the newer glucose-lowering drugs, including peptidase-4 inhibitors, glucagon-like peptide 1 receptor agonists and sodium–glucose co-transporter-2 inhibitors.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1

References

  1. Giugliano D, Maiorino MI, Bellastella G, Esposito K (2018) Glycemic control in type 2 diabetes: from medication nonadherence to residual vascular risk. Endocrine 61:23–27

    Article  CAS  PubMed  Google Scholar 

  2. Giugliano D, Meier JJ, Esposito K (2019) Heart failure and type 2 diabetes: from CVOTs, with hope. Diabetes Obes Metab. https://doi.org/10.1111/dom.13629

    Article  PubMed  Google Scholar 

  3. Liberati A, Altman DG, Tetzlaff J et al (2009) The PRISMA statement for reporting systematic reviews and meta-analyses of studies that evaluate health care interventions: explanation and elaboration. Ann Intern Med 151:W65–W94

    Article  PubMed  Google Scholar 

  4. Higgins JP, Altman DG, Gøtzsche PC et al (2011) Cochrane Bias Methods Group; Cochrane Statistical Methods Group. The Cochrane Collaboration’s tool for assessing risk of bias in randomised trials. BMJ 343:d5928

    Article  PubMed  PubMed Central  Google Scholar 

  5. van Houwelingen HC, Arends LR, Stijnen T (2002) Advanced methods in meta-analysis: multivariate approach and meta-regression. Stat Med 21:589–624

    Article  PubMed  Google Scholar 

  6. Higgins JP, Thompson SG (2004) Controlling the risk of spurious findings from metaregression. Stat Med 23:1663–1682

    Article  PubMed  Google Scholar 

  7. Scirica BM, Bhatt DL, Braunwald E, SAVOR-TIMI 53 Steering Committee and Investigators et al (2013) Saxagliptin and cardiovascular outcomes in patients with type 2 diabetes mellitus. N Engl J Med 369:1317–1326

    Article  CAS  PubMed  Google Scholar 

  8. White WB, Cannon CP, Heller SR, EXAMINE Investigators et al (2013) Alogliptin after acute coronary syndrome in patients with type 2 diabetes. N Engl J Med 369:1327–1335

    Article  CAS  PubMed  Google Scholar 

  9. Green JB, Bethel MA, Armstrong PW, TECOS Study Group et al (2015) Effect of sitagliptin on cardiovascular outcomes in type 2 diabetes. N Engl J Med. 373:232–242

    Article  CAS  PubMed  Google Scholar 

  10. Rosenstock J, Perkovic V, Johansen OE, CARMELINA Investigators et al (2019) Effect of linagliptin vs placebo on major cardiovascular events in adults with type 2 diabetes and high cardiovascular and renal risk. The CARMELINA randomized clinical trial. JAMA 321:69–79

    Article  CAS  PubMed  Google Scholar 

  11. Pfeffer MA, Claggett B, Diaz R, Dickstein K, ELIXA Investigators et al (2015) Lixisenatide in patients with type 2 diabetes and acute coronary syndrome. N Engl J Med 373:2247–2257

    Article  CAS  PubMed  Google Scholar 

  12. Marso SP, Daniels GH, Brown-Frandsen K, LEADER Steering Committee; LEADER Trial Investigators et al (2016) Liraglutide and cardiovascular outcomes in type 2 diabetes. N Engl J Med 375:311–322

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  13. Marso SP, Bain SC, Consoli A, SUSTAIN-6 Investigators et al (2016) Semaglutide and cardiovascular outcomes in patients with type 2 diabetes. N Engl J Med 375:1834–1844

    Article  CAS  PubMed  Google Scholar 

  14. Holman RR, Bethel MA, Mentz RJ, EXSCEL Study Group et al (2017) Effects of once-weekly exenatide on cardiovascular outcomes in type 2 diabetes. N Engl J Med. 377:1228–1239

    Article  CAS  PubMed  Google Scholar 

  15. Hernandez AF, Green JB, Janmohamed S, Harmony Outcomes Committees and Investigators et al (2018) Albiglutide and cardiovascular outcomes in patients with type 2 diabetes and cardiovascular disease (Harmony Outcomes): a double-blind, randomised placebo-controlled trial. Lancet 392:1519–1529

    Article  CAS  PubMed  Google Scholar 

  16. Zinman B, Wanner C, Lachin JM, EMPA-REG OUTCOME Investigators et al (2015) Empagliflozin, cardiovascular outcomes, and mortality in type 2 diabetes. N Engl J Med 373:2117–2128

    Article  CAS  PubMed  Google Scholar 

  17. Neal B, Perkovic V, Mahaffey KW, CANVAS Program Collaborative Group et al (2017) Canagliflozin and cardiovascular and renal events in type 2 diabetes. N Engl J Med 377:644–657

    Article  CAS  PubMed  Google Scholar 

  18. Wiviott SD, Raz I, Bonaca MP, DECLARE–TIMI 58 Investigators et al (2019) Dapagliflozin and cardiovascular outcomes in type 2 diabetes. N Engl J Med 380:347–357

    Article  CAS  PubMed  Google Scholar 

  19. Davis SN, Duckworth W, Emanuele N, Investigators of the Veterans Affairs Diabetes Trial et al (2019) Effects of severe hypoglycemia on cardiovascular outcomes and death in the Veterans Affairs Diabetes Trial. Diabetes Care. 42:157–163

    Article  CAS  PubMed  Google Scholar 

  20. Serghiou S, Goodman SN (2019) Random-effects meta-analysis. Summarizing evidence with caveats. JAMA 321:301–302

    Article  PubMed  Google Scholar 

Download references

Funding

No funding was specifically allocated for this study.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to D. Giugliano.

Ethics declarations

Conflict of interest

D.G. received honoraria for speaking at meetings from Novartis, Sanofi-Aventis, Lilly, AstraZeneca, and NovoNordisk. M.I.M. received honoraria for speaking at meetings from Lilly and NovoNordisk. K.E. received honoraria for speaking at meetings from Novartis, Sanofi-Aventis, Lilly, AstraZeneca, Boehringer Ingelheim, and NovoNordisk. P.C. declares that he has no conflict of interest. G.B. declares that he has no conflict of interest.

Ethical approval

This article does not contain any studies with human participants performed by any of the authors.

Informed consent

For this type of study, informed consent is not required.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Electronic supplementary material

Below is the link to the electronic supplementary material.

Supplementary material 1 (DOCX 20 kb)

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Giugliano, D., Chiodini, P., Maiorino, M.I. et al. Cardiovascular outcome trials and major cardiovascular events: does glucose matter? A systematic review with meta-analysis. J Endocrinol Invest 42, 1165–1169 (2019). https://doi.org/10.1007/s40618-019-01047-0

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s40618-019-01047-0

Keywords

Navigation