Assessment and management of coronary artery disease in kidney and pancreas transplant candidates
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
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.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it