Age and the eGFR-dependent risk for adverse clinical outcomes
Bibliographic record
Abstract
Although the relative risk of kidney failure increases with more severe chronic kidney disease (CKD) independent of age, with older age the absolute risk of kidney failure at a given time horizon becomes smaller. In this article, we first review some epidemiological measures of outcome occurrence (absolute rate or risk) and association (relative measures: difference or ratio of rates or risks). We emphasize that relative measures need to be presented along with absolute measures to be understood and absolute risk is more helpful than absolute rate when making treatment decisions. We then apply these principles to the discussion of the absolute and relative rates or risks of kidney failure and death across categories of estimated glomerular filtration rate and age. Lastly, we discuss the implications of existing studies on whether the definition of CKD should account for age.
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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 | 0.012 | 0.060 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.005 | 0.007 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.005 |
| 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 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".