Exercise Training for Individuals with Coronary Artery Disease or Heart Failure
Bibliographic record
Abstract
Purpose: Cardiovascular disease is the leading cause of mortality in Canada, resulting in impaired aerobic capacity (VO2peak) that leads to a reduced ability to perform activities of daily living. We examine the mechanisms responsible for the decline in VO2peak found in individuals with coronary artery disease (CAD) or heart failure (HF). In addition, the role that exercise rehabilitation plays in attenuating the decline in VO2peak and strength is reviewed. Finally, we provide an exercise program that can be used by physiotherapists to improve the overall physical fitness of patients with CAD or HF. Summary of Key Points: Aerobic training and resistance training, as part of a comprehensive cardiac rehabilitation program, have been shown to improve VO2peak, muscle strength, and quality of life while reducing mortality in individuals with CAD or HF. Physiotherapists should incorporate these effective interventions in the rehabilitation of individuals with CAD or HF. Recommendations: Individuals with CAD or HF should be encouraged to perform regular moderate-intensity aerobic and resistance training to improve their physical fitness and quality of life.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.010 | 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".