Cardiovascular, Kidney, and Safety Outcomes With GLP-1 Receptor Agonists Alone and in Combination With SGLT2 Inhibitors in Type 2 Diabetes: A Systematic Review and Meta-Analysis
Bibliographic record
Abstract
BACKGROUND: GLP-1 (glucagon-like peptide-1) receptor agonists and SGLT2 (sodium-glucose cotransporter 2) inhibitors both improve cardiovascular and kidney outcomes in people with type 2 diabetes. We conducted a systematic review and meta-analysis to assess the effects of GLP-1 receptor agonists on clinical outcomes with and without SGLT2 inhibitors. METHODS: We searched MEDLINE and Embase databases from inception until July 12, 2024, for randomized, double-blind, placebo-controlled outcome trials of GLP-1 receptor agonists in type 2 diabetes that reported treatment effects by baseline use of SGLT2 inhibitors, with findings supplemented by unpublished data. We estimated treatment effects by baseline SGLT2 inhibitor use using inverse variance-weighted meta-analysis. The main cardiovascular outcomes were major adverse cardiovascular events (nonfatal myocardial infarction, stroke, or cardiovascular death) and hospitalization for heart failure. Kidney outcomes included a composite of ≥50% reduction in estimated glomerular filtration rate, kidney failure or death caused by kidney failure, and annualized rate of decline in estimated glomerular filtration rate (estimated glomerular filtration rate slope). Serious adverse events and severe hypoglycemia were also evaluated. This meta-analysis was registered on the International Prospective Register of Systematic Reviews (PROSPERO; CRD42024565765). RESULTS: We identified 3 trials with 1743 of 17 072 (10.2%) participants with type 2 diabetes receiving an SGLT2 inhibitor at baseline. GLP-1 receptor agonists reduced the risk of major adverse cardiovascular events by 21% (hazard ratio [HR], 0.79 [95% CI, 0.71–0.87]), with consistent effects in those receiving and not receiving SGLT2 inhibitors at baseline (HR, 0.77 [95% CI, 0.54–1.09] and HR, 0.79 [95% CI, 0.71–0.87], respectively; P -heterogeneity=0.78). The effect on hospitalization for heart failure was similarly consistent regardless of SGLT2 inhibitor use (HR, 0.58 [95% CI, 0.36–0.93] and HR, 0.73 [95% CI, 0.63–0.85]; P -heterogeneity=0.26). Effects on the composite kidney outcome (risk ratio, 0.79 [95% CI, 0.66–0.95]) and estimated glomerular filtration rate slope (0.78 mL/min/1.73 m 2 /y [95% CI, 0.57–0.98]) also did not vary according to SGLT2 inhibitor use ( P -heterogeneity=0.53 and 0.94, respectively). Serious adverse effects and severe hypoglycemia were also similar regardless of SGLT2 inhibitor use ( P -heterogeneity=0.29 and 0.50, respectively). CONCLUSIONS: In people with type 2 diabetes, the cardiovascular and kidney benefits of GLP-1 receptor agonists are consistent regardless of SGLT2 inhibitor use.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.012 | 0.025 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.021 | 0.040 |
| Bibliometrics | 0.006 | 0.007 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".