THE CLINICAL EPIDEMIOLOGY OF CARDIOVASCULAR DISEASES IN CHRONIC KIDNEY DISEASE: Applying Multiple Interventions in Chronic Kidney Disease
Bibliographic record
Abstract
The medical, social, and financial burdens posed by end-stage renal disease (ESRD) are many and growing rapidly. People generally reach ESRD as a result of chronic progressive kidney disease. Advancing kidney disease is associated with several treatable complications, which if poorly managed reduce the length and quality of life. In addition, there are strong links between chronic kidney disease (CKD) and cardiovascular disease (CVD). Many people with less advanced CKD will die or suffer complications of CVD before reaching ESRD. Efficacious interventions, such as lowering blood pressure and treating dyslipidemia, can substantially reduce the progression of both kidney and cardiovascular disease. Careful management of these complex and interrelated diseases and risk factors requires detailed longitudinal and focused care which does not seem to be optimally delivered by health service practitioners organized in traditional ways. A disease management approach offers promise in this setting, but requires further study of clinical and economic impact.
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How this classification was reachedexpand
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 | 0.006 | 0.019 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.007 | 0.011 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".