Management of coronary artery disease and acute coronary syndrome in the chronic kidney disease population—A review of the current literature
Bibliographic record
Abstract
Coronary Artery Disease (CAD) is a large contributor to morbidity and mortality in the chronic kidney disease (CKD) and end-stage renal disease (ESRD) population. Due to the fact that many large-scale trials evaluating management for acute coronary syndromes (ACS) and CAD have excluded patients with CKD, there is a paucity of data investigating medical management of CAD and revascularization strategies of these patients. Further, while there have been many advances in the treatment for ACS and CAD, both medically and technologically, few studies have focused on the CKD population and many predate these advancements in management. Newer studies that include CKD patients have shown heterogeneity in various outcomes, making management decisions challenging. In this review, we summarize the epidemiologic significance of ACS and CAD in patients with CKD, discuss the diagnosis of ACS in this patient population, and review the therapeutic interventions in patients with CKD.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".