Improving the heart valve disease journey of care: a new action plan for better partnerships with patients, clinicians, and policymakers
Bibliographic record
Abstract
Heart valve disease-be it localized in one or more of the four valves, acquired or congenital, stenotic, or regurgitant-is prevalent across international regions, often associated with a complex trajectory, and results in mortality, increased health resource requirements, and significant deterioration in the quality of life.Heart valve disease is the most common cardiac disease following hypertension and coronary artery disease and affects nearly 3% of the general population and 13% of people over the age of 75 in high-income countries.Described as the next cardiac epidemic, prevalence is expected to double by 2040, and triple by 2060 due to the ageing of the population.There are safe, effective, and lasting treatment options for most types of heart valve disease that can relieve disease progression, significantly improve the quality of life, and reduce mortality, morbidity, and readmissions in many patients.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.003 |
| 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".