Evidence map›Paper›PMID 38389223›Full record

SynthesisNephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association2024

Global health inequalities of chronic kidney disease: a meta-analysis.

Rachael Duff, Omodolapo Awofala, Muhammad Tahir Arshad, Emilie Lambourg, Peter Gallacher, Neeraj Dhaun, Samira Bell

Erratum issuedOpen access · hybridAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 41 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed, 2 pooled it
11.9field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

41 citing papers in PubMed, 2 syntheses or guidelines pooled it, 35 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Update on APOL1 and chronic kidney diseases in children.Pediatric nephrology (Berlin, Germany) · 2026
    Review
  5. Cardiovascular Disease in CKD: Ethnic and Regional Differences in Risk and Phenotype.Clinical journal of the American Society of Nephrology : CJASN · 2026
    Review
  6. Marine drugs · 2026
    Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Review
  12. Review
  13. Article
  14. Article
  15. Review
  16. Article
  17. Twelve Years to a Diagnosis: The Unfinished Agenda of Equity in Kidney Disease.Clinical journal of the American Society of Nephrology : CJASN · 2026
    Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 2 institutions in 1 country.

Rachael DuffDivision of Population Health and Genomics, School of Medicine, University of Dundee, Dundee, UK.ORCID 0000-0002-4816-5985
Omodolapo AwofalaDivision of Population Health and Genomics, School of Medicine, University of Dundee, Dundee, UK.
Muhammad Tahir ArshadDivision of Population Health and Genomics, School of Medicine, University of Dundee, Dundee, UK.
Emilie LambourgDivision of Population Health and Genomics, School of Medicine, University of Dundee, Dundee, UK.
Peter GallacherBHF/University Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, UK.
Neeraj DhaunBHF/University Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, UK.ORCID 0000-0001-9128-6603
Samira BellDivision of Population Health and Genomics, School of Medicine, University of Dundee, Dundee, UK.ORCID 0000-0001-9100-1575
University of Dundee · GBUniversity of Edinburgh · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundChronic kidney disease (CKD) is a significant contributor to global morbidity and mortality. This study investigated disparities in age, sex and socio-economic status in CKD and updated global prevalence estimates through systematic review and meta-analysis.

methodsFive databases were searched from 2014 to 2022, with 14 871 articles screened, 119 papers included and data analysed on 29 159 948 participants. Random effects meta-analyses were conducted to determine overall prevalence, prevalence of stages 3-5 and prevalence in males and females. Influences of age, sex and socio-economic status were assessed in subgroup analyses and risk of bias assessment and meta-regressions were conducted to explore heterogeneity.

resultsThe overall prevalence of CKD was 13.0% [95% confidence interval (CI) 11.3-14.8] and 6.6% (95% CI 5.6-7.8) for stages 3-5. The prevalence was higher in studies of older populations (19.3% for stages 1-5, 15.0% for stages 3-5) and meta-regression demonstrated an association of age, body mass index, diabetes and hypertension with prevalence of stages 3-5. The prevalence of CKD stages 1-5 was similar in males and females (13.1% versus 13.2%), but the prevalence of stages 3-5 was higher in females (6.4% versus 7.5%). Overall prevalence was 11.4%, 15.0% and 10.8% in low-, middle- and high-income countries, respectively; for stages 3-5, prevalence was 4.0%, 6.7% and 6.8%, respectively. Included studies were at moderate-high risk of bias in the majority of cases (92%) and heterogeneity was high.

conclusionThis study provides a comprehensive assessment of CKD prevalence, highlighting important disparities related to age, sex and socio-economic status. Future research should focus on targeted screening and treatment approaches, improving access to care and more effective data monitoring, particularly in low- and middle-income countries.

Indexed as

Global HealthRenal Insufficiency, ChronicFemaleHealth Status DisparitiesHumansMalePrevalenceSocioeconomic FactorsCKDglobal healthprevalencesystematic review

Identifiers

PMID38389223
PMCPMC11483576
OpenAlexW4392112323

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.