Dapagliflozin effects on lung fluid volumes in patients with heart failure and reduced ejection fraction: Results from the <scp>DEFINE‐HF</scp> trial
Bibliographic record
Abstract
Sodium-glucose cotransporter-2 (SGLT2) inhibitors have been shown to reduce the risk of cardiovascular death or worsening heart failure (HF), and improve symptom burden, physical function and quality of life in patients with HF and reduced ejection fraction. The mechanisms of the HF benefits of SGLT2 inhibitors, however, remain unclear. In this substudy of the DEFINE-HF trial, patients randomized to dapagliflozin or placebo had lung fluid volumes (LFVs) measured by remote dieletric sensing at baseline and after 12 weeks of therapy. A significantly greater proportion of dapagliflozin-treated patients (as compared with placebo) experienced improvement in LFVs and fewer dapagliflozin-treated patients had no change or deterioration in LFVs after 12 weeks of treatment. To our knowledge, this is the first study to suggest a direct effect of dapagliflozin (or any SGLT2 inhibitor) on more effective "decongestion", contributing in a meaningful way to the ongoing debate regarding the mechanisms of SGLT2 inhibitor HF benefits.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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".