A prospective randomized study to evaluate the renal impact of surgical revascularization strategy in diabetic patients
Bibliographic record
Abstract
Acute kidney injury (AKI) is a major postoperative complication following cardiac surgery. Diabetes mellitus is a major cause of nephropathy and end-stage renal failure. We aimed to evaluate the occurrence of adverse renal outcomes, in diabetic patients, between on-pump (CPB) and off-pump (OPCAB) coronary artery bypass graft (CABG). Seventy-one diabetic patients (36 and 35 patients in the CPB and OPCAB groups, respectively) were enrolled in a prospective randomized study. Renal tubular and glomerular functions, were monitored preoperatively and over five consecutive days. There was no significant difference between the groups in terms of age, gender, New York Heart Association class, Canadian Cardiovascular Society functional classification of angina grade and number of CABG. Intensive care unit stay, duration of intubation, hospital stay and bleeding were significantly higher in the CPB group. No significant differences in plasmatic creatinine, urinary creatinine, creatinine clearance, proteinuria or osmolality were detected. A significant rise in urinary albumine excretion occurred in both groups peaking on the operative day; for the on-pump CABG group (10±5 vs. 48±57; P=0.015) and for the OPCAB group (11±6 vs. 37±59; P=0.04). Values were less important in the OPCAB group and return to the baseline was faster than in the CPB group. OPCAB attenuates sub-clinical AKI, in diabetic patients.
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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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".