Trials / Active Not Recruiting
Active Not RecruitingNCT05220917
Comparative Effectiveness and Safety of Four Second Line Pharmacological Strategies in Type 2 Diabetes Study
- Status
- Active Not Recruiting
- Phase
- —
- Study type
- Observational
- Enrollment
- 781,430 (estimated)
- Sponsor
- Brigham and Women's Hospital · Academic / Other
- Sex
- All
- Age
- 18 Years
- Healthy volunteers
- Not accepted
Summary
To perform an observational analysis to emulate a target trial (i.e., a hypothetical pragmatic trial that would have answered the causal question of interest) comparing the effectiveness and safety of sodium-glucose cotransporter-2 inhibitors (SGLT2i), glucagon-like peptide 1 receptor agonists (GLP-1RA), dipeptidyl peptidase-4 inhibitors (DPP-4i), and sulfonylureas (SU), at the class and individual agent level, in head-to-head comparisons in patients with type 2 diabetes (T2D).
Detailed description
Aim 1: (1a.) To evaluate the effectiveness of sodium-glucose cotransporter-2 inhibitors (SGLT2i), glucagon-like peptide 1 receptor agonists (GLP-1RA), dipeptidyl peptidase-4 inhibitors (DPP-4i), and sulfonylureas (SU), at the class and individual agent level, in head-to-head comparisons with respect to cardiovascular (CV) events, mortality, renal events, and other patient-centered outcomes (e.g., time spent at home), in patients with T2D and moderate baseline CV risk (event rate ≤3%/year). (1b.) To examine heterogeneity in treatment effects by age, race/ethnicity, gender, levels of CV risk, including high (≥4%/year) and low risk (\<2%/year), chronic kidney disease (CKD), frailty, and multimorbidity. Aim 2: (2a.) To monitor and quantify the association of the initiation of SGLT2i, GLP-1RA, DPP-4i, or SU, at the class and individual agent level, with previously reported drug-related harms (e.g., diabetic ketoacidosis (DKA), fractures, amputations, pancreatitis, severe hypoglycemia). (2b.) To scan study data sources for signals of potential serious unanticipated drug-related adverse events, using a data-mining approach (tree-based scan statistics). (2c.) By using data generated in Aims 2a and 2b, to build treatment-specific outcome prediction models to identify individual patients' likelihood of drug-related harms, based on specific combinations of patient features.
Conditions
Interventions
| Type | Name | Description |
|---|---|---|
| DRUG | SGLT2 inhibitor | Any SGLT2i dispensing claim |
| DRUG | DPP-4 inhibitor | Any DPP-4 inhibitor claim |
| DRUG | GLP-1RA | Any SGLT2i dispensing claim |
| DRUG | 2nd generation SU | Any 2nd generation SU claim |
Timeline
- Start date
- 2021-08-01
- Primary completion
- 2026-01-31
- Completion
- 2026-07-01
- First posted
- 2022-02-02
- Last updated
- 2025-12-08
Locations
1 site across 1 country: United States
Regulatory
- FDA-regulated drug study
Source: ClinicalTrials.gov record NCT05220917. Inclusion in this directory is not an endorsement.