Reducing the Global Burden of Cardiovascular Disease, Part 2
Bibliographic record
Abstract
In this second part of a 2-part series on the global burden of cardiovascular disease, we review the proven, effective approaches to the prevention and treatment of cardiovascular disease. We specifically review the management of acute cardiovascular diseases, including acute coronary syndromes and stroke; the care of cardiovascular disease in the ambulatory setting, including medical strategies for vascular disease, atrial fibrillation, and heart failure; surgical strategies for arterial revascularization, rheumatic and other valvular heart disease, and symptomatic bradyarrhythmia; and approaches to the prevention of cardiovascular disease, including lifestyle factors, blood pressure control, cholesterol-lowering, antithrombotic therapy, and fixed-dose combination therapy. We also discuss cardiovascular disease prevention in diabetes mellitus; digital health interventions; the importance of socioeconomic status and universal health coverage. We review building capacity for conduction cardiovascular intervention through strengthening healthcare systems, priority setting, and the role of cost effectiveness.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.013 | 0.004 |
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".