Does peritoneal dialysis have a role in urgent‐start end‐stage kidney disease?
Bibliographic record
Abstract
Despite its many positive attributes, peritoneal dialysis remains underutilized, particularly in the United States. Urgent-start peritoneal dialysis (PD) has been proposed as a method of increasing PD prevalence. Urgent-start PD has been shown to be safe, feasible, and effective. However, urgent-start PD is also accompanied by several multidimensional challenges. This article is intended to equip the reader with a practical sense of whether an urgent-start PD program would be appropriate in his or her own clinical context and if appropriate, what factors would be necessary for such a program to flourish. As such, we summarize latent factors, which are necessary to consider before instituting an urgent-start PD. Then, using a series of clinical vignettes, highlight the component parts of a successful urgent-start PD program and the patient population who stand to benefit most from this strategy. The discussion is then balanced by presenting limitations to consider in the urgent-start PD approach.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.005 | 0.004 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".