Head‐to‐head comparison between recommendations by the <scp>ESC</scp> and <scp>ACC</scp> / <scp>AHA</scp> / <scp>HFSA</scp> heart failure guidelines
Bibliographic record
Abstract
Recommendations represent the core messages of guidelines, and are particularly important when the body of scientific evidence is rapidly growing, as in the case of heart failure (HF). The main messages from two latest major HF guidelines, endorsed by the European Society of Cardiology (ESC) and the American College of Cardiology/American Heart Association/Heart Failure Society of America (ACC/AHA/HFSA), are partially overlapping, starting from the four pillars of treatment for HF with reduced ejection fraction. Some notable differences exist, in part related to the timing of recent publications (most notably, the Universal Definition of HF paper and the EMPEROR-Preserved trial), and in part reflecting differing views of the natural history of HF (with a clear differentiation between stages A and B HF in the ACC/AHA/HFSA guidelines). Different approaches are proposed to specific issues such as risk stratification and implantable cardioverter defibrillator use for primary prevention in HFrEF patients with non-ischaemic aetiology. The ACC/AHA/HFSA guidelines put a greater emphasis on some issues that are particularly relevant to the US setting, such as the cost-effectiveness of therapies and the impact of health disparities on HF care. A comparison between guideline recommendations may give readers a deeper understanding of the ESC and ACC/AHA/HFSA guidelines, and help them apply sensible approaches to their own practice, wherever that may be in the world. A comparison may possibly also help further harmonization of recommendations between future guidelines, by identifying why some areas have led to conflicting recommendation, even when ostensibly reviewing the same published evidence.
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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 | 0.053 | 0.369 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.005 |
| Bibliometrics | 0.009 | 0.012 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.005 | 0.005 |
| Insufficient payload (model declined to judge) | 0.013 | 0.003 |
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".