The impact of angina and cardiac history on health-related quality of life and depression in coronary heart disease patients
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
OBJECTIVE: To prospectively examine the contribution of angina and cardiac history to health-related quality of life (HRQoL) and depression in cardiac patients, over 6 months post-hospitalization. METHODS: Participants were myocardial infarction (MI), percutaneous coronary intervention (PCI) or coronary artery bypass graft (CABG) outpatients under the age of 70 years. One hundred and seventy-one patients consented to participate, with 121 patients being retained 6 months later (71% response rate). The impact of the patient's cardiac history and the presence of angina on physical, social and emotional HRQoL and depression was examined. RESULTS: At baseline, cardiac history was not significantly related to any of the dimensions of HRQoL or depression. At 6-month follow-up, cardiac history significantly predicted a higher level of depression, and angina was predictive of a significantly worse emotional, physical and social HRQoL and a higher level of depression. DISCUSSION: The presence of a cardiac history is associated with depression 6 months post-cardiac event, and angina is associated with both an adverse HRQoL and higher levels of depression. As past research has demonstrated that depression is a risk factor for mortality in patients with established heart disease, it is important from both a clinical and a research perspective to address these issues.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| 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) | 0.000 | 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 it