Assessment and management of coronary artery disease in kidney and pancreas transplant candidates
Bibliographic record
Abstract
: Patients with end-stage renal disease (ESRD) undergoing evaluation for kidney and/or pancreas transplantation represent a population with unique cardiovascular (CV) profiles and unique therapeutic needs. Coronary artery disease (CAD) is common in patients with ESRD, mediated by both the overrepresentation and higher prognostic value of traditional CV risk factors amongst this population, as well as altered cardiovascular responses to failing renal function, likely mediated by dysregulation of the renin-angiotensin-aldosterone system (RAAS) and abnormal calcium and phosphate metabolism. Within the ESRD population, obstructive CAD correlates highly with adverse coronary events, including during the peri-transplant period, and successful revascularization may attenuate some of that increased risk. Accordingly, peri-transplant coronary risk assessment is critical to ensuring optimal outcomes for these patients. The following provides a review of CAD in patients being evaluated for kidney and/or pancreas transplantation, as well as evidence-based recommendations for appropriate peri-transplant evaluation and management.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 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".