Evidence map›Paper›PMID 41943667›Full record

ArticleDiabetes, obesity & metabolism2026

Risk Stratification of Chronic Kidney Disease in Adults Using Noninvasive Fibrosis Tests Based on the American Diabetes Association Algorithm.

Chan-Young Jung, Hye Won Lee, Jung Il Lee, Han Ah Lee, Seung Up Kim

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Article in Diabetes, obesity & metabolism, 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

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Chan-Young JungDivision of Nephrology, Department of Internal Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea.ORCID 0000-0002-2893-9576
Hye Won LeeDepartment of Internal Medicine, Yonsei University, College of Medicine, Seoul, Republic of Korea.
Jung Il LeeDepartment of Internal Medicine, Institute of Gastroenterology, Yonsei University, Seoul, Republic of Korea.
Han Ah LeeDepartment of Internal Medicine, Chung-Ang University College of Medicine, Seoul, Republic of Korea.
Seung Up KimDepartment of Internal Medicine, Yonsei University, College of Medicine, Seoul, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsAlthough the American Diabetes Association (ADA) recently established a diagnostic algorithm for the early detection of liver fibrosis among high-risk individuals, its implications for chronic kidney disease (CKD) risk stratification remain unclear. We investigated whether the ADA diagnostic algorithm can effectively stratify CKD risk in individuals at risk of cirrhosis. MATERIALS AND

methodsThis retrospective cohort study included 9264 adults without pre-existing CKD who underwent vibration-controlled transient elastography from April 2006 to October 2018. Participants were categorized into three groups: (1) no metabolic criteria; (2) low-risk (FIB-4 < 1.3 or 1.3-2.67 with liver stiffness [LS] < 8 kPa) and (3) high risk (FIB-4 > 2.67, or 1.3-2.67 with LS ≥ 8 kPa). The primary outcome was incident CKD, defined as an estimated glomerular filtration rate (eGFR) < 60 mL/min/1.73 m

resultsDuring a mean follow-up of 3.7 years, 440 (4.7%) participants developed incident CKD. When stratified by the ADA algorithm, multivariable Cox models revealed a 1.52-fold (95% confidence interval [CI], 1.09-2.13) higher risk of incident CKD in the high-risk group than those with no metabolic abnormalities. The high-risk group also had a 2.30-fold higher risk (95% CI, 1.83-2.90) of a 25% eGFR decline (mean follow-up 3.5 years) than those with no metabolic abnormalities.

conclusionsThe two-step ADA algorithm can effectively stratify CKD risk in individuals at high risk of future cirrhosis.

Indexed as

AlgorithmsLiver CirrhosisRenal Insufficiency, ChronicAdultAgedElasticity Imaging TechniquesFemaleGlomerular Filtration RateHumansIncidenceMaleMiddle AgedRetrospective StudiesRisk AssessmentRisk FactorsUnited Stateschronic kidney diseasefibrosis‐4 indexliver fibrosismetabolic dysfunction‐associated steatotic liver diseasevibration‐controlled transient elastography

Identifiers

PMID41943667
PMCPMC13146156

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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.