THE CLINICAL EPIDEMIOLOGY OF CARDIOVASCULAR DISEASES IN CHRONIC KIDNEY DISEASE: Clinical Epidemiology of Cardiac Disease in Renal Transplant Recipients
Bibliographic record
Abstract
Cardiovascular disease (CVD) is the major cause of death among renal transplant recipients (RTRs), accounting for 17-50% of deaths. Both cardiomyopathy (congestive heart failure [CHF] and left ventricular hypertrophy [LVH]) and ischemic heart disease (IHD) are important complications of renal transplantation, although the morbid impact of cardiomyopathy has been overlooked until recently. Echocardiographic disorders and clinical CHF occur far more frequently in RTRs than in the general population, suggesting that renal transplantation may be a state of accelerated heart failure. In contrast, the incidence of IHD in RTRs is similar to that in the Framingham cohort. Age, diabetes, and gender remain important markers of risk for both disorders. Smoking, hyperlipidemia, and hypertension appear to be the major reversible risk factors for IHD, while anemia and hypertension are major reversible risk factors for cardiomyopathy. Definitive evidence on optimal intervention is lacking. Clinical trials are needed to define optimum targets for treatment of these risk factors, especially hypertension and anemia.
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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) | 0.003 | 0.001 |
| Bibliometrics | 0.004 | 0.006 |
| 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".