Fifteen Years of Advancing Cardiovascular Rehabilitation in Low-Resource Settings through the International Council of Cardiovascular Prevention and Rehabilitation (ICCPR) and a Look Ahead
Bibliographic record
Abstract
Cardiovascular disease (CVD) remains the leading cause of morbidity and mortality worldwide, with a particular burden in middle-income countries (MICs). Cardiac rehabilitation (CR) is a secondary prevention model resulting in reduced CV mortality, morbidity, cost-effectively. However, CR is under-utilized globally, especially in MICs due to structural, social, and economic barriers. The International Council of Cardiovascular Prevention and Rehabilitation (ICCPR) is a World Heart Federation-affiliated umbrella association founded ~15 years ago, now comprised of 50 Associations and 30 champions in countries without CR societies. ICCPR addresses delivery challenges through: CR guidelines tailored for MICs, the Global CR Audit to support advocacy, the International CR Registry (ICRR), Program Certification to support service quality, multi-disciplinary provider training (CR Foundations Certification; CRFC), women-focused CR initiatives, and partnerships with the World Health Organization. ICCPR continues to foster global CR accessibility through collaboration, communication, as well as research and advocacy with their upcoming Global CR Audit Update.
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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 | 0.035 | 0.048 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.004 | 0.004 |
| Scholarly communication | 0.009 | 0.007 |
| Open science | 0.003 | 0.018 |
| Research integrity | 0.008 | 0.020 |
| Insufficient payload (model declined to judge) | 0.021 | 0.007 |
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".