Worldwide organization and structures for kidney transplantation services
Bibliographic record
Abstract
BACKGROUND: Kidney transplantation (KT) is the preferred modality of kidney replacement therapy with better patient outcomes and quality of life compared with dialytic therapies. This study aims to evaluate the epidemiology, accessibility and availability of KT services in countries and regions around the world. METHODS: This study relied on data from an international survey of relevant stakeholders (clinicians, policymakers and patient advocates) from countries affiliated with the International Society of Nephrology that was conducted from July to September 2022. Survey questions related to the availability, access, donor type and cost of KT. RESULTS: In total, 167 countries responded to the survey. KT services were available in 70% of all countries, including 86% of high-income countries, but only 21% of low-income countries. In 80% of countries, access to KT was greater in adults than in children. The median global prevalence of KT was 279.0 [interquartile range (IQR) 58.0-492.0] per million people (pmp) and the median global incidence was 12.2 (IQR 3.0-27.8) pmp. Pre-emptive KT remained exclusive to high- and upper-middle-income countries, and living donor KT was the only available modality for KT in low-income countries. The median cost of the first year of KT was $26 903 USD and varied 1000-fold between the most and least expensive countries. CONCLUSION: The availability, access and affordability of KT services, especially in low-income countries, remain limited. There is an exigent need to identify strategies to ensure equitable access to KT services for people with kidney failure worldwide, especially in the low-income countries.
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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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.006 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.092 | 0.027 |
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".