Obesity, heart failure, and SGLT2 inhibition: DECLARE-TIMI 58 provides insights
Bibliographic record
Abstract
This editorial refers to ‘Obesity and effects of dapagliflozin on cardiovascular and renal outcomes in patients with type 2 diabetes mellitus in the DECLARE-TIMI 58 trial’, by K. Oyama et al., doi:10.1093/eurheartj/ehab530. Mounting evidence supports obesity as an important risk factor for incident heart failure (HF) in people with and without diabetes.1,2 In a recent Swedish report of patients with diabetes, while the association of glycaemia with incident myocardial infarction (MI) and incident HF was broadly similar, progressively higher body mass index (BMI) levels were strongly associated with incident HF whereas associations with incident MI were relatively flat across the BMI range.3 In other Swedish data, elevated BMI in young adult men, measured at a time when there is minimal confounding by comorbidity, was also more strongly associated with incident HF than with incident MI.4 The causal role of obesity in the...
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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 | 0.015 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.018 | 0.019 |
| Insufficient payload (model declined to judge) | 0.008 | 0.009 |
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".