Changes in quality of life, physical activity, and symptomatic status one year after myocardial revascularization for stable angina
Bibliographic record
Abstract
Background: This study investigates changes of quality of life (QOL), physical activity (PA) and symptomatic status (NYHA) at one-year post-coronary artery bypass grafting (CABG). Methods: Of 568 patients undergoing a primary isolated CABG for stable angina (NYHA ≪IV) pre- and 1-year postoperative data on QOL, PA, and NYHA were complete. Studied outcomes were changes in QOL, EuroQoL questionnaire, PA, the Corpus Christi Heart Project criteria and NYHA. Analysis was based on three age groups. Group A, age ≪65 years: 285 patients, group B, 65–74 years: 210 patients, and group C, age ≥75 years: 73 patients. Results: There is a similar, significant decrease of NYHA class (1.4) for the three groups (p ≪ 0.0005). An overall significant improvement for QOL and PA is however different in the three subgroups. PA improvement is not significant in group C (p = 0.74), significant in group B (p = 0.005) and in group A (p ≪ 0.0005). For the QOL, group A shows a significant improvement for the five different domains, group B for two, and group C only for one domain. The visual analogue score as part of the QOL registration shows a significant increase for the three groups, however the improvement is minor with age, and between A (14.6) and C (9.1) this improvement is significantly different (p = 0.047). Conclusions: Elderly patients have the same improvement of their symptomatic status as younger patients. However despite this improvement they have less benefit from CABG regarding to their quality of life and physical activity.
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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 | 0.002 |
| 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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".