We Use <i>Kt/V</i> Urea as a Measure of Adequacy of Peritoneal Dialysis
Bibliographic record
Abstract
In the early days of chronic dialysis therapy, there was recognition that patients on continuous peritoneal dialysis enjoyed improvement in symptoms and signs of kidney failure similar to those receiving hemodialysis, despite slower removal rates of small solutes such as urea and creatinine. It was suggested that removal of toxic middle molecular weight solutes by the peritoneal membrane compensated for this difference. The publication of the National Cooperative Dialysis Study then focused attention on urea clearance as a significant predictor of hospitalization in hemodialysis patients. The peritoneal dialysis community made a mistake in adopting urea kinetics to the peritoneal dialysis process, while ignoring the benefits incumbent in continuous dialysis therapy and middle molecular weight solute removal. Sadly, to this day, despite the publication of many studies that have been unable to find an association between peritoneal small solute kinetics and outcome, Kt/V urea is employed as a marker of adequacy in these patients.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.001 | 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".