Evidence map›Paper›PMID 39676148›Full record

ArticleClinical and experimental nephrology2025

The health-economic impact of urine albumin-to-creatinine ratio testing for chronic kidney disease in Japanese non-diabetic patients.

Tsuneo Konta, Koichi Asahi, Kouichi Tamura, Fumitaka Tanaka, Akira Fukui, Yusuke Nakamura, Junichi Hirose, Kenichi Ohara, Yoko Shijoh, Matthew Carter and 5 more

Abstract read
In one paragraph

Article in Clinical and experimental nephrology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–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

5 citing papers in PubMed.

  1. Review
  2. The PREVENT Risk Equations and Cardiovascular Prevention in East Asia.Journal of atherosclerosis and thrombosis · 2026
    Review
  3. Article
  4. Albuminuria or proteinuria in glomerular disease and CKD-which one to use?Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association · 2026
    Article
  5. Review
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

15 authors.

Tsuneo KontaDepartment of Public Health and Hygiene, Yamagata University Graduate School of Medicine, Yamagata, Japan.ORCID http://orcid.org/0000-0001-7681-6469
Koichi AsahiDivision of Nephrology and Hypertension, Department of Internal Medicine, Iwate Medical University School of Medicine, Yahaba, Japan.
Kouichi TamuraDepartment of Medical Science and Cardiorenal Medicine, Yokohama City University Graduate School of Medicine, Yokohama, Japan.ORCID http://orcid.org/0000-0002-0660-5372
Fumitaka TanakaDivision of Nephrology and Hypertension, Department of Internal Medicine, Iwate Medical University School of Medicine, Yahaba, Japan.ORCID http://orcid.org/0000-0002-3520-3305
Akira FukuiDivision of Nephrology and Hypertension, Department of Internal Medicine, The Jikei University School of Medicine, Minato City, Japan.ORCID http://orcid.org/0000-0002-7383-4159
Yusuke NakamuraBayer Yakuhin Ltd, Osaka, Japan.ORCID http://orcid.org/0000-0001-8131-9387
Junichi HiroseBayer Yakuhin Ltd, Osaka, Japan.ORCID http://orcid.org/0009-0006-3916-0759
Kenichi OharaBayer Yakuhin Ltd, Osaka, Japan.ORCID http://orcid.org/0000-0003-4513-390X
Yoko ShijohBayer Yakuhin Ltd, Osaka, Japan. yoko.shijoh@bayer.com.ORCID http://orcid.org/0000-0001-8175-3845
Matthew CarterWickenstones Ltd, Carlow, Ireland.ORCID http://orcid.org/0009-0005-6391-1703
Kimberley MeredithWickenstones Ltd, Carlow, Ireland.ORCID http://orcid.org/0000-0003-3700-5430
James HarrisWickenstones Ltd, Carlow, Ireland.ORCID http://orcid.org/0000-0002-8542-3189
Örjan ÅkerborgWickenstones Ltd, Carlow, Ireland.ORCID http://orcid.org/0000-0003-3003-4271
Naoki KashiharaKawasaki Geriatric Medical Center, Okayama, Japan.ORCID http://orcid.org/0000-0002-9487-984X
Takashi YokooDivision of Nephrology and Hypertension, Department of Internal Medicine, The Jikei University School of Medicine, Minato City, Japan.ORCID http://orcid.org/0000-0003-1838-7998

Funding

Ministry of Health, Labour and Welfare JPMH22FD2001
6 · The paper itself

Abstract

backgroundThe objective of this analysis was to estimate the clinical and economic impact of undertaking urine albumin-to-creatinine ratio (UACR) testing alongside regular estimated glomerular filtration rate testing for chronic kidney disease in non-diabetic Japanese patients versus no testing and versus urine protein-creatinine ratio (UPCR) testing.

methodsAn economic model, taking a Japanese healthcare perspective, estimated the health-economic impact of UACR testing over a lifetime time horizon. Outcomes reported were additional costs, clinical benefits measured, such as prevented dialyses and cardiovascular events, quality-adjusted life years gained, and incremental cost-effectiveness ratios. Health states were derived from risk levels reported in the Kidney Disease: Improving Global Outcomes heatmap. Results were derived assuming that after testing, treatment was available in the form of current standard-of-care or emerging chronic kidney disease therapies.

resultsRepeated UACR testing was found to be cost-effective compared to both no urine testing and UPCR testing, with incremental cost-effectiveness ratios of ¥1,953,958 and ¥1,966,433, respectively.

conclusionOverall, this model demonstrates the health-economic value of undertaking UACR testing within the non-diabetic Japanese population.

Indexed as

AlbuminuriaCreatinineHealth Care CostsRenal Insufficiency, ChronicUrinalysisAgedBiomarkersCost-Benefit AnalysisEast Asian PeopleFemaleGlomerular Filtration RateHumansJapanMaleMiddle AgedModels, EconomicBiomarkersCreatinineAlbuminuriaChronicCost-effectiveness analysisJapanRenal insufficiency

Identifiers

PMID39676148
PMCPMC12049324

What OpenQuestion holds

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LicenceCC BY
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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.