Psychosocial and Medical Predictors of 1-Year Functional Outcome in Male and Female Coronary byPass Recipients
Bibliographic record
Abstract
Background and Purpose: This study examines coronary artery bypass graft (CABG) patients, their baseline medical and psychosocial characteristics, and level of functioning after 1 year. Functioning was defined as ability to play their role in social, family, recreational, and occupational areas. Sex differences and the buffering effect of social support were also investigated. Methods: This prospective, observational study recruited 296 (42% female) post-CABG patients, of whom 234 (79%; 44% female) had complete data at 1-year follow-up. Clinical and demographic variables were collected following surgery via chart review and provincial database. Depressive symptoms, perceived social support, household responsibilities, marital status, pain, and role interference were assessed at baseline and 1 year later. Hierarchical linear regression examined relationships between baseline psychosocial variables and 1-year role interference controlling for potential medical confounding variables. Results: One-year role interference was partially predicted by baseline depression, social support, household responsibilities, and marital status ( R 2 = 0.20, P < 0.001), but not disease severity. Baseline depression predicted 1-year role interference only at mean ( b = 0.15, 95% confidence interval [CI] [0.01, 0.31]) and high ( b = 0.30, 95% CI [0.12, 0.48]) perceived social support. Baseline perceived social support predicted greater reduction in 1-year role interference in women compared to men (interaction b = 0.29; 95% CI [0.06, 0.52]) and reduced the association between high depression symptoms and role interference in women only ( b = −0.25, 95% CI [−0.42, −0.09]). Conclusions: Long-term role interference in bypass graft recipients was not associated with disease severity, but was predicted by social variables and depressive symptoms. In women perceived social support moderated the association between depression and role interference.
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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 | 0.002 |
| 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".