The Problem with Kt/V: Dialysis Dose should be Normalized to Metabolic Rate not Volume
Bibliographic record
Abstract
Current estimates of hemodialysis adequacy are based on calculations of small solute clearance or changes in online measurements of ionic conductance. A minimum target value of the widely used, dimensionless parameter, Kt/V(urea) has been adopted nationally and internationally to represent appropriate dialysis delivery. Based on the principles of allometry, which permit the calculation of scaling equations between the mass of an organism and other parameters, we propose that dialysis dose should be normalized to waste product generation (estimated by metabolic rate). The allometric equations predict a nonlinear correlation between body mass and dialysis dose, such that smaller individuals require proportionately ''more'' dialysis than larger persons. The argument we present is congruent with outcome data as it relates to sex, race, and body size, as well as supportive of studies suggesting that certain groups (e.g., pregnant women, critically ill patients, diabetics) require greater dialysis delivery than the hemodialysis population in general.
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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 | 0.006 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.001 | 0.004 |
| Scholarly communication | 0.002 | 0.004 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.003 | 0.007 |
| Insufficient payload (model declined to judge) | 0.003 | 0.004 |
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".