Prognostic Value of CMR-Derived Left Ventricular Filling Pressure in Broad Referral Populations
Bibliographic record
Abstract
BACKGROUND: ) has shown strong correlation with invasively measured values and early promise as a prognostic marker in defined patient populations. OBJECTIVES: with future heart failure (HF) outcomes in a large, diverse CMR referral population with stratified analyses by left ventricular (LV) ejection fraction (LVEF) subgroups. METHODS: was calculated. RESULTS: ≥18 mm Hg remained independently associated with the outcome in the overall cohort, as well as LVEF subgroups. Respective adjusted HR for patients with LVEF <40%, 40 to 50% and >50% were 1.510 (1.216-1.876), 1.582 (1.153-2.171), and 2.865 (2.307-3.559). The latter group demonstrated similar value in patients with vs without coronary disease. CONCLUSIONS: is a powerful predictor of future HF outcomes in broad referral populations inclusive of patients with reduced, mildly reduced, and preserved LV function.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".