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.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| 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) | 0.002 | 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".