Coronary artery bypass grafting in patients with dialysis-dependent renal failure: ten-year results.
Bibliographic record
Abstract
BACKGROUND: Coronary artery disease has been reported to be accelerated in patients with chronic renal failure on maintenance dialysis. Coronary artery bypass grafting (CABG) in patients on long-term dialysis is still a debated issue. METHODS: We retrospectively reviewed 19 patients (12 men, 7 women, mean age 64 +/- 11.2 years) with end-stage renal disease who underwent CABG between 1990 and 2000. Operative procedures were CABG alone in 15 (78.9%) patients and CABG associated with valve procedures in 4 (21.1%) patients. RESULTS: The early (30-day) mortality rate was 10.5% (2 of 19 patients). Non-fatal complications occurred in 6 patients (31.5%). Four delayed deaths occurred; the actuarial survivals at 1, 2, 5 and 10 years were 0.86 +/- 0.14, 0.78 +/- 0.10, 0.68 +/- 0.13 and 0.54 +/- 0.15 respectively. Among 13 survivors the mean Canadian Cardiovascular Society class was 1.3 +/- 0.3 (p < 0.001 vs preoperatively). ANOVA procedures showed age (p = 0.01), Canadian Cardiovascular Society class > or = III (p < 0.001), urgent/emergency operation (p < 0.001), left ventricular ejection fraction < 0.50 (p < 0.001), a prior myocardial infarction (p = 0.01), a preoperative mean creatinine level > or = 5 mg/dl (p = 0.02) and a duration of dialysis > or = 60 months (p = 0.03) to be strongly related to early and delayed mortality. CONCLUSIONS: CABG in patients with dialysis-dependent chronic renal failure is associated with acceptable results. Accurate patient selection, early referral to surgery, and adequate perioperative management are advisable.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".