Global structures, practices, and tools for provision of chronic peritoneal dialysis
Bibliographic record
Abstract
BACKGROUND: Worldwide, the uptake of peritoneal dialysis (PD) compared with hemodialysis remains limited. This study assessed organizational structures, availability, accessibility, affordability and quality of PD worldwide. METHODS: This cross-sectional study relied on data from kidney registries as well as survey data from stakeholders (clinicians, policymakers and advocates for people living with kidney disease) from countries affiliated with the International Society of Nephrology (ISN) from July to September 2022. RESULTS: Overall, 167 countries participated in the survey. PD was available in 79% of countries with a median global prevalence of 21.0 [interquartile range (IQR) 1.5-62.4] per million population (pmp). High-income countries (HICs) had an 80-fold higher prevalence of PD than low-income countries (LICs) (56.2 pmp vs 0.7 pmp). In 53% of countries, adults had greater PD access than children. Only 29% of countries used public funding (and free) reimbursement for PD with Oceania and South East Asia (6%), Africa (10%) and South Asia (14%) having the lowest proportions of countries in this category. Overall, the annual median cost of PD was US$18 959.2 (IQR US$10 891.4-US$31 013.8) with full private out-of-pocket payment in 4% of countries and the highest median cost in LICs (US$30 064.4) compared with other country income levels (e.g. HICs US$27 206.0). CONCLUSIONS: Ongoing large gaps and variability in the availability, access and affordability of PD across countries and world regions were observed. Of note, there is significant inequity in access to PD by children and for people in LICs.
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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 | 0.004 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.000 |
| 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 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".