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Do GLP-1RAs and SGLT-2is reduce cardiovascular events in women with type 2 diabetes? A systematic review and
B M Mishriky1, V Okunrintemi1, S Jain1
1Department of Internal Medicine, East Carolina University, 521 Moye Blvd (2(nd) floor), Greenville NC 27834, United States.
Aims:
The risk of cardiovascular disease is often underestimated in women. This leads to a delay in controlling the risk factors for cardiovascular disease and even delays in prescribing medications with cardiovascular benefit. Our aim was to explore if glucagon-like peptide-1 receptor agonist (GLP-1RA) or sodium-glucose cotransporter-2 inhibitor (SGLT-2i) medications would reduce cardiovascular events in women with type 2 diabetes when atherosclerotic cardiovascular disease (ASCVD) predominates.
Materials And Methods:
We searched for randomized trials comparing GLP-1RA or SGLT-2i to placebo in people with type 2 diabetes and had a primary outcome exploring major adverse cardiovascular events (MACE). Data concerning women were then extracted. A sensitivity and subgroup analyses were performed according to the class of diabetes medication.
Results:
A total of 9 trials (GLP-1RA in 6 trials and SGLT-2i in 3) were included. Of the 84,258 participants enrolled, 30,784 (37%) participants were women. Pooled results showed a statistically significant lower incidence of MACE favouring diabetes medications (GLP-1RA or SGLT-2i) compared to placebo (RR [95%CI]=0.87 [0.80, 0.94]). On restricting the analysis to GLP-1RA then to SGLT-2i, results remained significant with GLP-1RA but not SGLT-2i.
Conclusions:
In women with type 2 diabetes who either have increased cardiovascular risk or established cardiovascular disease and ASCVD predominates, GLP-1RA significantly reduce the incidence of MACE while SGLT-2i result in a non-significant reduction. SGLT-2i may have comparable effect when examined in more studies. GLP-1RA and SGLT-2i should be considered without delay in women with type 2 diabetes and increased risk for cardiovascular disease.
Insights
Glucagon-like peptide-1 receptor agonists (GLP-1RA) significantly reduce cardiovascular events in women with type 2 diabetes. Sodium-glucose cotransporter-2 inhibitors (SGLT-2i) showed a non-significant reduction, but both drug classes warrant consideration for high-risk women.
Area of Science:
- Cardiology
- Endocrinology
- Pharmacology
Background:
- Cardiovascular disease (CVD) risk is underestimated in women, delaying crucial interventions.
- Delayed management of CVD risk factors and medications impacts women's cardiovascular health.
- Atherosclerotic cardiovascular disease (ASCVD) is a predominant concern in women with type 2 diabetes.
Purpose of the Study:
- To evaluate the efficacy of glucagon-like peptide-1 receptor agonists (GLP-1RA) and sodium-glucose cotransporter-2 inhibitors (SGLT-2i) in reducing cardiovascular events in women with type 2 diabetes.
- To analyze the impact of these medications specifically in women with predominant ASCVD.
- To inform clinical practice regarding the use of GLP-1RA and SGLT-2i in female patients.
Main Methods:
- Systematic search for randomized controlled trials comparing GLP-1RA or SGLT-2i against placebo.
- Inclusion criteria: participants with type 2 diabetes and primary outcome of major adverse cardiovascular events (MACE).
- Focused data extraction on female participants, with sensitivity and subgroup analyses by medication class.
Main Results:
- Nine trials (6 GLP-1RA, 3 SGLT-2i) involving 84,258 participants (37% women) were analyzed.
- Pooled analysis revealed a significant reduction in MACE with GLP-1RA or SGLT-2i (RR 0.87 [0.80, 0.94]).
- Subgroup analysis showed significant MACE reduction with GLP-1RA but not SGLT-2i; SGLT-2i effects require further study.
Conclusions:
- GLP-1RA significantly decrease MACE in women with type 2 diabetes and ASCVD.
- SGLT-2i demonstrated a non-significant reduction in MACE, with potential for comparable effects in future research.
- GLP-1RA and SGLT-2i should be promptly considered for women with type 2 diabetes at increased cardiovascular risk.
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