ArticleJournal of primary care & community health
A Real-World Precision Medicine Program Including the KidneyIntelX Test Effectively Changes Management Decisions and Outcomes for Patients With Early-Stage Diabetic Kidney Disease.
Article in Journal of primary care & community health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. It is linked to trial NCT04802395 (Real World Evidence Clinical Utility Study of KidneyIntelX in Patients With Type 2 Diabetes and Chronic Kidney Disease), which is not on this map. Cited by 6 papers.
What it found
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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.
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.
Real World Evidence Clinical Utility Study of KidneyIntelX in Patients With Type 2 Diabetes and Chronic Kidney Disease
Who cites it
6 citing papers in PubMed, 8 citations in OpenAlex.
- Baseline Risk and Longitudinal Changes in kidneyintelX.dkd and Its Association With Kidney Outcomes in the CANVAS and CREDENCE Trials.Diabetes care · 2026Trial
- Real-World Associations of KidneyIntelX Risk Stratification With Guideline-Directed Therapy, Kidney Outcomes, and Metabolic Trajectories in Early Diabetic Kidney Disease.Diabetes, obesity & metabolism · 2026Article
- Cost-Effectiveness Analysis of Artificial Intelligence-Driven Risk Stratification in Patients With Diabetic Kidney Disease in the US Veterans Population.Kidney medicine · 2026Article
- kidneyintelX.dkd: An Innovation in Precision Medicine for Diabetic Kidney Disease.Journal of the American Society of Nephrology : JASN · 2025Article
- Artificial intelligence approaches to enable early detection of CKD.Nature reviews. Nephrology · 2025Article
- Development Trends and Prospects of Technology-Based Solutions for Health Challenges in Aging Over the Past 25 Years: Bibliometric Analysis.Journal of medical Internet research · 2024Article
Corrections and comments
- Erratum issued
Authors and funding
20 authors at 2 institutions in 1 country.
Funding
Abstract
INTRODUCTION/
objectiveThe KidneyIntelX is a multiplex, bioprognostic, immunoassay consisting of 3 plasma biomarkers and clinical variables that uses machine learning to predict a patient's risk for a progressive decline in kidney function over 5 years. We report the 1-year pre- and post-test clinical impact on care management, eGFR slope, and A1C along with engagement of population health clinical pharmacists and patient coordinators to promote a program of sustainable kidney, metabolic, and cardiac health.
methodsThe KidneyIntelX in vitro prognostic test was previously validated for patients with type 2 diabetes and diabetic kidney disease (DKD) to predict kidney function decline within 5 years was introduced into the RWE study (NCT04802395) across the Health System as part of a population health chronic disease management program from [November 2020 to April 2023]. Pre- and post-test patients with a minimum of 12 months of follow-up post KidneyIntelX were assessed across all aspects of the program.
resultsA total of 5348 patients with DKD had a KidneyIntelX assay. The median age was 68 years old, 52% were female, 27% self-identified as Black, and 89% had hypertension. The median baseline eGFR was 62 ml/min/1.73 m
conclusionsDeployment and risk stratification by KidneyIntelX was associated with an escalation in action taken to optimize cardio-kidney-metabolic health including medications and specialist referrals. Glycemic control and kidney function trajectories improved post-KidneyIntelX testing, with the greatest improvements observed in those scored as high-risk.
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Registered trials
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.