Obesity and effects of dapagliflozin on cardiovascular and renal outcomes in patients with type 2 diabetes mellitus in the DECLARE–TIMI 58 trial
Bibliographic record
Abstract
AIMS: We investigated the associations between obesity, cardiorenal events, and benefits of dapagliflozin in patients with type 2 diabetes mellitus (T2DM). METHODS AND RESULTS: DECLARE-TIMI 58 randomized patients with T2DM and either atherosclerotic cardiovascular (CV) disease or multiple risk factors to dapagliflozin vs. placebo. Patients were stratified by body mass index (BMI, kg/m2): normal (18.5 to <25), overweight (25 to <30), moderately obese (30 to <35), severely obese (35 to <40), and very-severely obese (≥40). Outcomes analysed were CV death, hospitalization for heart failure (HHF), renal-specific composite outcome, and atrial fibrillation or flutter (AF/AFL). Of 17 134 patients, 9.0% had a normal BMI, 31.5% were overweight, 32.4% were moderately, 17.2% severely, and 9.8% were very-severely obese. Higher BMI was associated with a higher adjusted risk of HHF and AF/AFL (hazard ratio 1.30 and 1.28, respectively, per 5 kg/m2; P < 0.001 for all). Dapagliflozin reduced body weight by similar relative amounts consistently across BMI categories (percent difference: -1.9 to -2.4%). Although relative risk reductions in CV and renal-specific composite outcomes with dapagliflozin did not significantly differ across the range of BMI (P for interaction ≥0.20 for all outcomes), obese patients (BMI ≥ 30 kg/m2) tended to derive greater absolute risk reduction in HHF and AF/AFL (P for interaction 0.02 and 0.09, respectively) than non-obese patients. CONCLUSIONS: In DECLARE-TIMI 58, patients with T2DM and higher BMI were more likely to have HHF and AF/AFL. Whereas relative risk reductions in CV and renal outcomes with dapagliflozin were generally consistent across the range of BMI, absolute risk reduction in obesity-related outcomes including HHF and AF/AFL tended to be larger in obese patients with T2DM. CLINICAL TRIAL REGISTRATION: URL: https://www.clinicaltrials.gov. Unique identifiers: NCT01730534.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".