Towards a phenotype profiling of the patients with heart failure and preserved ejection fraction
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The prevalence of heart failure with preserved ejection fraction (HFpEF) is increasing and prognosis remains poor, with a high risk of mortality or hospitalizations for worsening heart failure events. Apart from sodium-glucose cotransporter-2 inhibitors and diuretics, the management of HFpEF is nowadays based on the different aetiologies and cardiovascular or non-cardiovascular comorbidities. A great heterogeneity of clinical profiles has been described in HFpEF, with several recent studies focused on the identification of different HFpEF phenotypes. In this review, we summarize available evidence on phenotype profiling in HFpEF, describing the different phenotypes with the relative therapeutic implications, and reporting other specific clinical conditions relevant for HFpEF differential diagnosis.
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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 | 0.000 | 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 it