Evaluating the Clinical Effectiveness of Cardiac Rehabilitation among Patients of Very Low Socioeconomic Status Living in Colombia
Bibliographic record
Abstract
Cardiovascular disease (CVD) poses a significant health burden, particularly among individuals of low socioeconomic status (SES) in low- and middle-income countries (LMICs). This study evaluates the clinical effectiveness of cardiac rehabilitation (CR) in addressing CVD outcomes among very low-SES patients in Colombia. Data from participants enrolled in a CR program in Colombia between 2022 and 2023 were analyzed retrospectively. Measures included heart-healthy behaviors, physical/psychological outcomes, and quality of life assessed at 18, 36, and 60 sessions. Significant improvements were observed in exercise capacity, psychological well-being, and quality of life metrics throughout the CR program. However, barriers to CR attendance and the critical need for expanded program availability remain evident, particularly in LMIC settings like Colombia. In conclusion, structured CR programs demonstrate substantial benefits for very low-SES individuals in a LMIC country, highlighting the urgent need for increased program accessibility and equitable healthcare provision to optimize cardiovascular health outcomes.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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".