Cardiac rehabilitation is associated with greater improvements in psychological health following coronary artery bypass graft surgery when compared with percutaneous coronary intervention
Bibliographic record
Abstract
Following coronary revascularization, patients treated with coronary artery bypass graft surgery (CABG) have lower risk of major adverse cardiovascular events when compared with those treated with percutaneous coronary intervention (PCI). We compared changes in cardiovascular risk factors, such as psychological and cardiometabolic health indicators, among patients who completed cardiac rehabilitation (CR) following CABG and PCI. Longitudinal records of 278 patients who completed an outpatient CR program following CABG or PCI were analyzed. We compared changes in anxiety and depression assessed by the Hospital Anxiety and Depression Scale (HADS); health-related quality of life (HR-QoL) measured by the Medical Outcomes Study Short Form-36 (SF-36); and indicators of cardiometabolic health (i.e., body mass, blood pressure, glucose, and lipid profiles) between CABG and PCI groups using analysis of covariance (ANCOVA). At baseline, patients treated with PCI (n = 191) had superior physical function (i.e., physical functioning: 62.5 ± 22.1 vs. 54.3 ± 23.0 points, p = 0.006; and role limitations due to physical health: 31.2 ± 36.8 vs. 20.6 ± 31.8 points, p = 0.024) when compared with those treated with CABG (n = 87). Following CR, patients treated with PCI showed significantly smaller improvements in depression (–0.4 ± 3.1 vs. –1.3 ± 2.7 points, p = 0.036) and mental HR-QoL (mental component summary: 2.4 ± 10.8 vs. 5.7 ± 10.7 points, p = 0.020) when compared with those treated with CABG. Novelty Patients with coronary artery disease treated with PCI have smaller functional limitations but similar psychological health when compared with those treated with CABG at CR enrollment. Patients participating in CR following PCI appear to achieve smaller psychological health benefits from CR when compared with those recovering from CABG.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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".