Redo coronary artery surgery; early and intermediate outcomes from a tertiary care hospital in a developing country.
Bibliographic record
Abstract
OBJECTIVE: To evaluate outcomes of re-operative coronary artery surgery in a tertiary care hospital in a developing country. METHOD: Preoperative, intra-operative and postoperative variables were analyzed in 82 consecutive patients who underwent re-operative coronary surgery on cardiopulmonary bypass. RESULTS: The mean age was 63.3 +/- 7.7 years, 91.2% were male and 9.8% female. Coronary artery disease risk factors were present in more than 50% of the patients. History of preoperative myocardial infarction was positive in 56% patients. There was strong clinical and angiographic indication for surgery with unstable angina in 50% patients and > 80% had multivessel disease. Only 5% patients were in functional class I. The risk stratification showed a mean Euro score of 8. The IABP was used in 20% patients. A mean of 3.1 grafts per patient were applied. The median cardiopulmonary bypass (CPB) and aortic cross clamp time was 144 minutes respectively. Postoperative mortality was 7.3%. Short-term follow up revealed 74% of the patients in NYHA functional class I. CONCLUSION: Reoperative coronary artery bypass grafting is challenging but with expertise, team effort can be performed with good functional outcome.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".