Review of best practice in cardiac rehabilitation for women
Bibliographic record
Abstract
Purpose: Cardiovascular disease is defined as damage to, or narrowing of, arteries due to atherosclerosis and is the leading cause of mortality and morbidity among women worldwide. Cardiovascular disease is recognized to be both a leading cause of mortality and an undertreated condition for women. The goals of this review manuscript are to present the current background literature specific to cardiac rehabilitation programs for women and serve as a knowledge translation strategy to help raise therapists’ awareness of the need for cardiac rehabilitation programs specifically designed for female patients. Methods: A review of best practice literature in cardiac rehabilitation for women. Results: With current increasing trends in risk factors, including stress, obesity, poor diet, smoking, and a sedentary lifestyle, the future burden could be overwhelming from the perspective of individuals’ health and health authorities’ resources. Conclusions: Emerging research clearly demonstrates the need for cardiac rehabilitation programs tailored for women and highlighting the unique features of program delivery that can reduce the risk of under-referral and treatment program dropout.
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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 | 0.004 | 0.017 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.008 | 0.008 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".