Evidence map›Paper›PMID 39010976›Full record

ArticleEClinicalMedicine2024

Projecting the economic burden of chronic kidney disease at the patient level (

Steven Chadban, Mustafa Arıcı, Albert Power, Mai-Szu Wu, Francesco Saverio Mennini, José Javier Arango Álvarez, Juan Jose Garcia Sanchez, Salvatore Barone, Joshua Card-Gowers, Alexander Martin and 1 more

Abstract read
In one paragraph

Article in EClinicalMedicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 58 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
58citing papers in PubMed, 3 pooled it
–field-weighted citation impact
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

58 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
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  4. Trial
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  6. Review
  7. Article
  8. Article
  9. Article
  10. Review
  11. Atmospheric stressors and kidney diseases.Nature reviews. Nephrology · 2026
    Review
  12. Review
  13. Beyond Diffusion: Harnessing Physical Principles for Precision KRT.Clinical journal of the American Society of Nephrology : CJASN · 2026
    Article
  14. Article
  15. Temporal trends in healthcare resource use and costs of chronic kidney disease in a Spanish population: the REDIC study.The European journal of health economics : HEPAC : health economics in prevention and care · 2026
    Article
  16. Review
  17. Review
  18. Article
  19. Observational
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Steven ChadbanRoyal Prince Alfred Hospital and University of Sydney, Camperdown, NSW, 2050, Australia.
Mustafa ArıcıDivision of Nephrology, Department of Internal Medicine, Hacettepe University, Ankara, 06230, Türkiye.
Albert PowerNorth Bristol NHS Trust, Southmead Hospital, Bristol, BS10 5NB, UK.
Mai-Szu WuDepartment of Internal Medicine, School of Medicine, College of Medicine, Taipei Medical University, Taipei City, 110007, Taiwan.
Francesco Saverio MenniniUniversidad del Quindío, Quindío, Colombia.
José Javier Arango ÁlvarezEconomic Evaluation and HTA-CEIS, Department of Economics and Finance, Faculty of Economics, University of Rome "Tor Vergata", Rome, 00133, Italy.
Juan Jose Garcia SanchezGlobal Health Economics, BioPharmaceuticals, AstraZeneca, Academy House, 136 Hills Road, Cambridge, CB2 8PA, UK.
Salvatore BaroneGlobal Medical Affairs, BioPharmaceuticals, AstraZeneca, Gaithersburg, MD, 20878, USA.
Joshua Card-GowersHealthLumen Limited, London, EC3N 2PJ, UK.
Alexander MartinHealthLumen Limited, London, EC3N 2PJ, UK.
Lise RetatHealthLumen Limited, London, EC3N 2PJ, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The growing burden of chronic kidney disease (CKD) places substantial financial pressures on patients, healthcare systems, and society. An understanding of the costs attributed to CKD and kidney replacement therapy (KRT) is essential for evidence-based policy making. Methods: A microsimulation model was developed that generated virtual populations using national demographics, relevant literature, and renal registries for the 31 countries/regions included. Patient-level country/region-specific cost data were extracted via a pragmatic local literature review and under advisement from local experts. Direct cost projections were generated for diagnosed CKD (by age, stage 3a-5), KRT (by modality), cardiovascular complications (heart failure, myocardial infarction, stroke), and comorbidities (hypertension, type 2 diabetes). Findings: For the 31 countries/regions, Interpretation: The economic burden of CKD is projected to increase from 2022 to 2027. KRT contributes disproportionately to this burden. Earlier diagnosis and proactive management could slow disease progression, potentially alleviating the substantial costs associated with later CKD stages. Data presented here can be used to inform healthcare resource allocation and shape future policy. Funding: AstraZeneca.

Indexed as

Burden of diseaseChronic kidney diseaseHealth economicsHealth policyMicrosimulation

Identifiers

PMID39010976
PMCPMC11247148

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.