Cardiovascular and renal benefits of dapagliflozin in patients with short and long‐standing type 2 diabetes: Analysis from the DECLARE‐TIMI 58 trial
Bibliographic record
Abstract
AIM: To investigate whether the cardiovascular and renal benefits observed with dapagliflozin in the DECLARE-TIMI 58 trial are also observed in patients with short and long-standing diabetes. MATERIALS AND METHODS: This post hoc analysis studied the dual primary efficacy endpoints, a composite of cardiovascular death or hospitalization for heart failure (CVD/HHF) and major adverse cardiovascular events (MACE; CVD, myocardial infarction [MI], ischaemic stroke) by diabetes duration. RESULTS: Of the 17 160 patients, 3836 had diabetes duration of ≤5 years, 4731 >5-10 years, 3952 >10-15 years, 2433 >15-20 years and 2206 >20 years. Dapagliflozin reduced the risk of CVD/HHF by a similar amount across diabetes duration subgroups, ranging from HR 0.79 (0.58-1.06) in patients with diabetes duration of ≤5 years to 0.75 (0.55-1.03) in those patients with diabetes duration of >20 years (interaction trend P-value 0.76). Hazard ratios (HRs) for MACE ranged from 1.08 (0.87-1.35) in patients with diabetes duration of ≤5 years to 0.67 (0.52-0.86) in those patients with diabetes duration of >20 years (interaction trend P-value 0.004). This was driven by greater reductions in the risk of MI and ischaemic stroke with dapagliflozin in patients with long-standing diabetes (interaction trend P-values 0.019 and 0.015, respectively). The duration-based MACE heterogeneity was apparent in those with or without a history of prior MI and in those with multiple risk factors. The renal-specific outcome was reduced with dapagliflozin with HRs ranging from 0.79 (0.47-1.34) in patients with diabetes duration of ≤5 years to 0.42 (0.25-0.72) in those patients with diabetes duration of >20 years (interaction trend P-value 0.084). CONCLUSIONS: Dapagliflozin reduced the risk of CVD/HHF consistently, regardless of diabetes duration, whereas the treatment effect for MACE differed by duration subgroups, with significant reductions with dapagliflozin in patients with long-standing diabetes.
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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 | 0.004 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.004 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".