An update on the global disparities in kidney disease burden and care across world countries and regions
Bibliographic record
Abstract
BACKGROUND: Since 2015, the International Society of Nephrology (ISN) Global Kidney Health Atlas (ISN-GKHA) has spearheaded multinational efforts to understand the status and capacity of countries to provide optimal kidney care, particularly in low-resource settings. In this iteration of the ISN-GKHA, we sought to extend previous findings by assessing availability, accessibility, quality, and affordability of medicines, kidney replacement therapy (KRT), and conservative kidney management (CKM). METHODS: A consistent approach was used to obtain country-level data on kidney care capacity during three phases of data collection in 2016, 2018, and 2022. The current report includes a detailed literature review of published reports, databases, and registries to obtain information on the burden of chronic kidney disease and estimate the incidence and prevalence of treated kidney failure. Findings were triangulated with data from a multinational survey of opinion leaders based on the WHO's building blocks for health systems (ie, health financing, service delivery, access to essential medicines and health technology, health information systems, workforce, and governance). Country-level data were stratified by the ISN geographical regions and World Bank income groups and reported as counts and percentages, with global, regional, and income level estimates presented as medians with interquartile ranges. FINDINGS: The literature review used information on prevalence of chronic kidney disease from 161 countries. The global median prevalence of chronic kidney disease was 9·5% (IQR 5·9-11·7) with the highest prevalence in Eastern and Central Europe (12·8%, 11·9-14·1). For the survey analysis, responses received covered 167 (87%) of 191 countries, representing 97·4% (7·700 billion of 7·903 billion) of the world population. Chronic haemodialysis was available in 162 (98%) of 165 countries, chronic peritoneal dialysis in 130 (79%), and kidney transplantation in 116 (70%). However, 121 (74%) of 164 countries were able to provide KRT to more than 50% of people with kidney failure. Children did not have access to haemodialysis in 12 (19%) of 62 countries, peritoneal dialysis in three (6%) countries, or kidney transplantation in three (6%) countries. CKM (non-dialysis management of people with kidney failure chosen through shared decision making) was available in 87 (53%) of 165 countries. The annual median costs of KRT were: US$19 380 per person for haemodialysis, $18 959 for peritoneal dialysis, and $26 903 for the first year of kidney transplantation. Overall, 74 (45%) of 166 countries allocated public funding to provide free haemodialysis at the point of delivery; use of this funding scheme increased with country income level. The median global prevalence of nephrologists was 11·8 per million population (IQR 1·8-24·8) with an 80-fold difference between low-income and high-income countries. Differing degrees of health workforce shortages were reported across regions and country income levels. A quarter of countries had a national chronic kidney disease-specific strategy (41 [25%] of 162) and chronic kidney disease was recognised as a health priority in 78 (48%) of 162 countries. INTERPRETATION: This study provides new information about the global burden of kidney disease and its treatment. Countries in low-resource settings have substantially diminished capacity for kidney care delivery. These findings have major policy implications for achieving equitable access to kidney care. FUNDING: International Society of Nephrology.
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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 | 0.022 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.011 | 0.014 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.006 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.014 | 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".