December 2023 at a Glance: Focus on Medical Therapy in Chronic and Acute Heart Failure
Bibliographic record
Abstract
Acute heart failure: Medical therapyAcute HF is still associated with poor prognosis and efforts are needed to improve its prognosis.21,22 A pre-defined sex-specific analysis of the GALACTIC (Goal directed afterload reduction acute congestive cardiac decompensation study) trial showed that a strategy of early intensive and sustained vasodilatation with rapid up-titration of renin-angiotensin-aldosterone system (RAAS) inhibitors versus usual care was less successful in women versus men both in the overall cohort and in patients with HFrEF.23 In a previous analysis no significant treatment-by-sex interactions were found in the STRONG-HF trial.24 Implementation of GDMT affects kidney function.8 An analysis of STRONG-HF described the association between changes in renal function and efficacy of rapid up-titration of GDMT according to the high-intensity care (HIC) strategy.The HIC group had less HF readmissions or death regardless of baseline eGFR at 180 days.An early decrease in eGFR at 1 week was associated with
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.008 | 0.007 |
| Insufficient payload (model declined to judge) | 0.295 | 0.193 |
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".