Evidence map›Paper›PMID 37069994›Full record

ArticleKidney international reports2023

Health Care Resource Utilization and Related Costs of Patients With CKD From the United States: A Report From the DISCOVER CKD Retrospective Cohort.

Juan Jose Garcia Sanchez, Glen James, Juan Jesus Carrero, Matthew Arnold, Carolyn S P Lam, Carol Pollock, Hungta Tony Chen, Stephen Nolan, David C Wheeler, Roberto Pecoits-Filho

Open access · goldAbstract read
In one paragraph

Article in Kidney international reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 1 pooled it
4.8field-weighted citation impact, top 4% 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

23 citing papers in PubMed, 1 synthesis or guideline pooled it, 24 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. 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
  5. QT-prolonging medications: prevalence of use and associated risks in CKD.Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association · 2026
    Review
  6. Article
  7. Article
  8. International Environmental Impact of CKD Care.Kidney international reports · 2026
    Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Observational
  20. Article
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

10 authors at 7 institutions in 6 countries.

Juan Jose Garcia SanchezAstraZeneca, Cambridge, UK.
Glen JamesAstraZeneca, Cambridge, UK.
Juan Jesus CarreroKarolinska Institutet, Department of Medical Epidemiology and Biostatistics, Stockholm, Sweden.
Matthew ArnoldAstraZeneca, Cambridge, UK.
Carolyn S P LamNational Heart Center, Department of Cardiology, Singapore, Singapore.
Carol PollockKolling Institute- Royal North Shore Hospital University of Sydney, Sydney, Australia.
Hungta Tony ChenAstraZeneca, Gaithersburg, United States.
Stephen NolanAstraZeneca, Cambridge, UK.
David C WheelerUniversity College London, London, United Kingdom.
Roberto Pecoits-FilhoSchool of Medicine- Pontifical Catholic University of Parana, Curitiba, Brazil.
AstraZeneca (United Kingdom) · GBAstraZeneca (United States) · USDuke-NUS Medical School · SGKarolinska Institutet · SEPontifícia Universidade Católica do Paraná · BRThe University of Sydney · AUUniversity College London · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: It is well established that chronic kidney disease (CKD) results in a significant burden on patients' health and health care providers. However, detailed estimates of the health care resource utilization (HCRU) of CKD are limited, particularly those which consider severity, comorbidities, and payer type. This study aimed to bridge this evidence gap by reporting contemporary HCRU and costs in patients with CKD across the US health care providers. Methods: Cost and HCRU estimates of CKD and reduced kidney function without CKD (estimated glomerular filtration rate [eGFR]: 60-75 and urine albumin-to-creatinine ratio [UACR]: <30) were derived for US patients included in the DISCOVER CKD cohort study, using linked inpatient and outpatient data from the limited claims-EMR data set (LCED) and TriNetX database. Patients with a history of transplant or undergoing dialysis were not included. HCRU and costs were stratified by CKD severity using UACR and eGFR. Results: Overall health care costs ranged from $26,889 (A1) to $42,139 (A3), and from $28,627 (G2) to $42,902 (G5) per patient per year (PPPY), demonstrating a considerable early disease burden which continued to increase with declining kidney function. The PPPY costs of later stage CKD were particularly notable for patients with concomitant heart failure ($50,191 [A3]) and those covered by commercial payers ($55,735 [A3]). Conclusions: Health care costs and resource use associated with CKD and reduced kidney function pose a substantial burden across health care systems and payers, increasing in line with CKD progression. Early CKD screening, particularly of UACR, paired with proactive disease management may provide both an improvement to patient outcomes and a significant HCRU and cost saving to health care providers.

Indexed as

chronic kidney diseasecost analysishealth care providershealth care resource usehospitalizationsUnited States

Identifiers

PMID37069994
PMCPMC10105052
OpenAlexW4319072889

What OpenQuestion holds

Textmetadata
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.