Excess Pericardial Fat Is Related to Adverse Cardio-Mechanical Interaction in Heart Failure With Preserved Ejection Fraction
Bibliographic record
Abstract
Heart failure with preserved ejection fraction (HFpEF) is the fastest growing form of HF, found predominantly in older persons.The primary chronic symptom in HFpEF is severe exercise intolerance, contributing to reduced quality of life. 1 In the United States, the majority of HFpEF patients are overweight/obese.2 While numerous pathophysiological links exist between obesity and HFpEF, emerging evidence suggests that excess adiposityparticularly surrounding the heart-may uniquely contribute to diastolic dysfunction and high left sided filling pressures.3 Excess adiposity surrounding the heart may be physically constraining, and contribute to ventricular interdependence; a process of mechanical interaction between the right and left ventricle due to dynamically increased right sided pressures and the confines of the pericardial space.4 Evidence for this pathophysiology, however, remains limited to observations from a single group, using transthoracic
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".