Sodium‐Glucose Cotransporter 2 Inhibitors, All‐Cause Mortality, and Cardiovascular Outcomes in Adults with Type 2 Diabetes: A Bayesian Meta‐Analysis and Meta‐Regression
Bibliographic record
Abstract
Background This study aimed to assess the effectiveness of sodium-glucose cotransporter 2 inhibitors in reducing the incidence of mortality and cardiovascular outcomes in adults with type 2 diabetes. Methods and Results We conducted a Bayesian meta-analysis of randomized controlled trials comparing sodium-glucose cotransporter 2 inhibitors with placebo. We used meta-regression to examine the association between treatment effects and control group event rates as measures of cardiovascular baseline risk. Fifty-three randomized controlled trials were included in our synthesis. Empagliflozin, canagliflozin, and dapagliflozin reduced the incidence of all-cause mortality (empagliflozin: rate ratio [RR], 0.79; 95% credibility interval [CrI], 0.63-0.97; canagliflozin: RR, 0.86; 95% CrI, 0.69-1.05; dapagliflozin: RR, 0.86; 95% CrI, 0.72-1.01) and cardiovascular mortality (empagliflozin: RR, 0.78; 95% CrI, 0.61-1.00; canagliflozin: RR, 0.83; 95% CrI, 0.63-1.05; dapagliflozin: RR, 0.88; 95% CrI, 0.71-1.08), with a 90.1% to 98.7% probability for the true RR to be <1.00 for both outcomes. There was little evidence for ertugliflozin and sotagliflozin versus placebo for reducing all-cause and cardiovascular mortality. There was no association between treatment effects for all-cause and cardiovascular mortality and the control group event rates. There was evidence for a reduction in the incidence of heart failure for empagliflozin, canagliflozin, dapagliflozin, and ertugliflozin versus placebo (probability RR <1.00 of ≥99.3%) and weaker, albeit positive, evidence for acute myocardial infarction for the first 3 agents (probability RR <1.00 of 89.0%-95.2%). There was little evidence of any agent except canagliflozin for reducing the incidence of stroke. Conclusions Empagliflozin, canagliflozin, and dapagliflozin reduced the incidence of all-cause and cardiovascular mortality versus placebo. Treatment effects of sodium-glucose cotransporter 2 inhibitors versus placebo do not vary by baseline risk.
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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 | 0.059 | 0.106 |
| Meta-epidemiology (narrow) | 0.005 | 0.003 |
| Meta-epidemiology (broad) | 0.017 | 0.054 |
| Bibliometrics | 0.008 | 0.006 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.003 | 0.003 |
| 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".