Evidence map›Paper›PMID 42422567›Full record

ArticleClinical kidney journal2026

Similar predictive performance and clinical utility of the Kidney Failure Risk Equation using EKFC or CKD-EPI estimated glomerular filtration rate.

Antoine Créon, Malou Magnani, Carolien C H M Maas, Merel van Diepen, Aurora Caldinelli, William A Russel, Friedo W Dekker, Juan-Jesus Carrero, Edouard L Fu

Abstract read
In one paragraph

Article in Clinical kidney journal, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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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

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Antoine CréonDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.ORCID https://orcid.org/0009-0006-6498-0257
Malou MagnaniDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
Carolien C H M MaasDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
Merel van DiepenDepartment of Clinical Epidemiology, Leiden University Medical Center, Leiden, The Netherlands.
Aurora CaldinelliDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.ORCID https://orcid.org/0009-0009-6019-9342
William A RusselDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
Friedo W DekkerDepartment of Clinical Epidemiology, Leiden University Medical Center, Leiden, The Netherlands.
Juan-Jesus CarreroDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.ORCID https://orcid.org/0000-0003-4763-2024
Edouard L FuDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.ORCID https://orcid.org/0000-0002-9698-6825

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: International guidelines recommend the Kidney Failure Risk Equation (KFRE), which includes estimated glomerular filtration rate (eGFR), to guide nephrology referral and preparation for kidney replacement therapy in chronic kidney disease (CKD). The European Kidney Function Consortium (EKFC) eGFR equations are increasingly recognized as alternatives to CKD-EPI, but their impact on KFRE predictive performance and clinical utility is unknown. Methods: We identified adults with same-day creatinine and cystatin C measurements and an albuminuria assessment in Stockholm between 2011 and 2021. We evaluated 2- and 5-year 4-variable KFRE performance using CKD-EPI or EKFC eGFR equations based on creatinine (eGFR Results: Among 27 125 participants (median age 75 years; 45% women), KFRE discrimination was consistently excellent across all equations, filtration markers, and prediction horizons (AUC 0.95-0.97). For eGFR Conclusions: In this North-European health system study, estimating eGFR with EKFC or CKD-EPI equations does not materially alter the predictive performance or clinical utility of the KFRE.

Indexed as

CKDCKD-EPI equationcystatin CEKFC equationKFRE equation

Identifiers

PMID42422567
PMCPMC13344174

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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.