[The role of European system for cardiac operative risk evaluation in the prediction of quality of life in patients after coronary artery bypass graft surgery].
Bibliographic record
Abstract
OBJECTIVE: To assess the value of European system for cardiac operative risk evaluation (EuroSCORE) in predicting quality of life in patients post coronary artery bypass graft surgery (CABG). METHODS: A total of 387 patients underwent CABG in our institute from December of 2002 to December of 2007 were assessed by EuroSCORE before operation. Health-related quality of life (QoL) was estimated postoperatively with Seattle angina questionnaire (SAQ), Nottingham healthy profile (NHP) and Duke activity status index (DASI) in order to evaluate the value of EuroSCORE for predicting quality of life in patients post CABG. RESULTS: There were statistically significant but weak correlations between postoperative QoL score and preoperative EuroSCORE score (r: 0.010 - 0.276). Emotional and psychological experience subgroup analysis showed better predictive value of EuroSCORE score on postoperative QoL score in improved physical functioning subgroups (r > 0.2). Linear regression analysis showed that EuroSCORE score was significant but weakly (r(2) < 0.1) correlated with postoperative QoL score (P < 0.05). CONCLUSION: Preoperative EuroSCORE score is weakly correlated with postoperative QoL score in patients post 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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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".