International charter on cardiovascular prevention and rehabilitation
Bibliographic record
Abstract
Cardiovascular disease remains the leading cause of death in both women and men globally and is a growing epidemic in low-to middle-income countries. Without systematic access to cardiac rehabilitation (CR), these individuals may experience multiple recurrent acute care events and suffer unnecessarily premature death. The 2 aims of this Charter are (1) to bring together national associations from around the world to harmonize efforts in promoting cardiovascular prevention and rehabilitation and (2) to document consensus among national associations globally, regarding the internationally common core elements and benefits of cardiovascular disease prevention and rehabilitation. The Global Charter on CR calls to action those responsible for administering patient care to (a) establish CR as an obligatory, not optional service, and (b) to support countries to establish and augment programs of CR to ensure broad access to these proven services. In addition, the Charter calls for CR organizations and associations in high-income countries to collaborate with those in low-to middle-income countries, to support capacity building and provide tangible toolkits for program development and maintenance. The aim of this Charter is to maintain and grow this global consortium through partnerships with international organizations and to consider and communicate ongoing consensus of evidence-based standards for CR worldwide.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.028 | 0.051 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.005 | 0.005 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.004 | 0.004 |
| Research integrity | 0.007 | 0.013 |
| Insufficient payload (model declined to judge) | 0.012 | 0.008 |
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".