Prognosis of patients undergoing cardiac surgery and treated with intra-aortic balloon pump counterpulsation prior to surgery: a long-term follow-up study
Bibliographic record
Abstract
The aim of this study was to evaluate short- and long-term outcome in patients undergoing coronary artery bypass grafting (CABG), who received an intra-aortic balloon pump (IABP) prior to surgery. Between January 1990 and June 2004, all patients (n=154) who received an IABP prior to on-pump CABG in our center were included. Patients received the IABP for vital indications (i.e. either unstable angina refractory to medical therapy or cardiogenic shock; group 1: n=99) or for prophylactic reasons (group 2: n=55). A Cox proportional hazards model was used to identify predictors of long-term all-cause mortality. Compared with the EuroSCORE predictive model, observed 30-day mortality in group 1 (15.2%) was slightly higher than predicted (10.3%). A decrease in 30-day mortality occurred in group 2 (median predicted mortality was 7.2% and observed was 0%). Cumulative 1-, 5-, and 6-year survival was 82.8+/-3.8%, 70.1+/-4.9%, and 67.3+/-5.1% for group 1 vs. 98.2+/-1.8%, 84.0+/-5.6% and 84.0+/-5.6% for group 2 (Log-rank: P=0.02). Logistic EuroSCORE (HR 1.03 [1.01-1.05], P=0.007) was an independent predictor of long-term all-cause mortality.
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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) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".