Pre- and Post-treatment CMR Measurement Changes in Pulmonary Arterial Hypertension
Bibliographic record
Abstract
Results: 88 patients (54%) experienced at least one MACE (CV death n=23, HF hospitalization n=49, revascularization n=8, myocardial infarction n=6, cardiac arrest n=1, ventricular tachycardia n=1).Univariate Cox regressions found significant associations with the primary endpoint for the PV loop parameters stroke work, ventricular efficiency, external power, contractility, and energy per ejected volume, alongside HF etiology, EF, global longitudinal strain, and NT-proBNP level.In iterative multivariate Cox regression adjusted for age, sex, hypertension, diabetes, and HF etiology (figure 2), ventricular efficiency was found to predict MACE, with hazard ratio 1.04 (95% CI: 1.01-1.08)per-% decrease, p=0.01. Conclusion:Ventricular efficiency, derived from non-invasive pressure-volume loop analysis from standard CMR scans, independently predicts major adverse cardiac events in patients with HFrEF.
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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 | 0.000 | 0.002 |
| 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) | 0.001 | 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".