Visions in a Crystal Ball: The Future of Peritoneal Dialysis
Bibliographic record
Abstract
BACKGROUND: Peritoneal dialysis (PD) is one of the corner stones of renal replacement therapy and should be strongly considered if preemptive kidney transplantation is not available. SUMMARY: There are several initiatives that may help the growth in the use of PD around the world. First, PD is an underused and valuable option in patients with heart failure and the chronic cardiorenal syndrome, especially in those with frequent hospitalizations despite optimal medical therapy. To identify these patients, an interdisciplinary approach of nephrologists and cardiologists is needed. These patients and other CKD patients with significant residual kidney function may do well with a regimen employing fewer than the usual number of bag exchanges, referred to as "incremental" dialysis. Second, acute kidney injury (AKI) is a worldwide burden with high morbidity and mortality, especially in low income countries. To reach the goal of zero preventable deaths caused by AKI by 2025 endorsed by the International Society of Nephrology, PD is the therapy of choice for treatment in this setting. Third, although dextrose has served well as the osmotic agent in PD solutions, there has been a continuous search for alternative agents. Hyperbranched polyglycerol might be such an osmole. Finally, to obviate the need for production and delivery of bags of PD solution, the development of home-generated dialysate is of interest. Key Message: The future of PD lies not only in accruing experience from the past decades, but also in staying open to other uses.
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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 | 0.007 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.005 |
| Scholarly communication | 0.005 | 0.009 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.006 | 0.012 |
| Insufficient payload (model declined to judge) | 0.008 | 0.002 |
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".