Quality of Life Following Cardiac Surgery: Impact of the Severity and Course of Depressive Symptoms
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
OBJECTIVES: The purpose of this study was to examine the impact of the severity and course of depressive symptoms on change in quality of life (QOL) 6 months after cardiac surgery. METHODS: Ninety patients were interviewed before heart surgery and 2 and 6 months after surgery. Depressive symptoms were assessed using the Beck Depression Inventory, and QOL was assessed using physical and psychosocial functioning indices derived from the Medical Outcomes Study instrument. Multiple regression examined the effects of the severity and course of depressive symptoms on QOL adjusting for demographic and biomedical predictors. RESULTS: Higher levels of presurgical depressive symptoms predicted poorer physical functioning after cardiac surgery. A similar effect on psychosocial functioning fell short of significance. An increase in depressive symptoms 2 months after surgery was significantly predictive of poorer physical and psychosocial functioning at 6 months. The effect of increased depressive symptoms on psychosocial functioning was significantly stronger in patients with high presurgical Beck Depression Inventory scores. CONCLUSIONS: Both preoperative depressive symptoms and postoperative increases in depressive symptoms seem associated with poorer QOL 6 months after cardiac surgery. Further examination of these associations and the mechanisms they reflect may provide a basis for guiding treatment decisions before and after coronary artery bypass graft surgery.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 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