ArticleBMC nephrology2019
Rationale and design of a multicenter Chronic Kidney Disease (CKD) and at-risk for CKD electronic health records-based registry: CURE-CKD.
Article in BMC nephrology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
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.
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.
Who cites it
21 citing papers in PubMed, 27 citations in OpenAlex.
- Temporal Trends in Decisions to Forgo KRT.Kidney360 · 2026Article
- Risks of Major Adverse Kidney Events in Non-Hispanic Black Patients with Diabetes or Hypertension: A Real-World Cohort Study.American journal of nephrology · 2026Article
- Dynamic Bayesian networks to predict loss of kidney function: a cross-institution use case in a large cohort with or at-risk of CKD.BMC medical informatics and decision making · 2026Article
- GLP-1 receptor agonists and next-generation metabolic hormone therapies in chronic kidney disease.Nature reviews. Nephrology · 2026Review
- A Real-World Cohort Study of the Risks of Kidney Failure and Death in Diabetes.Clinical journal of the American Society of Nephrology : CJASN · 2026Article
- Leveraging electronic health record data for precision medicine insights: the precision medicine registry at NYU Langone Health.npj health systems · 2026Article
- Development of a Natural Language Processing Model for Extracting Kidney Biopsy Pathology Diagnoses.Kidney medicine · 2025Article
- Clinical characteristics and CKD care delivery in African American and American Indian or Alaska Native patients: A real-world cohort study.BMC nephrology · 2025Article
- Population risk predictors of major adverse kidney events attributed to focal segmental glomerulosclerosis from the CURE-CKD registry.BMC nephrology · 2025Article
- Prevalence and severity of chronic kidney disease in a population with type 1 diabetes from a United States health system: a real-world cohort study.Lancet regional health. Americas · 2025Article
- Population Risk Predictors of Major Adverse Kidney Events in Patients with Focal Segmental Glomerulosclerosis from the CURE-CKD Registry.Research square · 2025Article
- Population-Level Risk Factors for Kidney Outcomes in IgA Nephropathy: The CURE-CKD Registry.Kidney medicine · 2025Article
- Meeting People Where They Are: Improving Diabetes Care and Outcomes Through Education and Collaboration.Diabetes spectrum : a publication of the American Diabetes Association · 2025Article
- Prevalence and Risk Factors of Chronic Kidney Disease in Patients With Type 2 Diabetes in China: Cross-Sectional Study.JMIR public health and surveillance · 2024Observational
- Type 2 Diabetes and Chronic Kidney Disease: An Opportunity for Pharmacists to Improve Outcomes.Journal of clinical medicine · 2024Review
- Optimizing Care Delivery in Patients with Chronic Kidney Disease in the United States: Proceedings of a Multidisciplinary Roundtable Discussion and Literature Review.Journal of clinical medicine · 2024Review
- Making an impact on kidney disease in people with type 2 diabetes: the importance of screening for albuminuria.BMJ open diabetes research & care · 2022Review
- Autopopulus: A Novel Framework for Autoencoder Imputation on Large Clinical Datasets.Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference · 2021Article
- Big Data in Nephrology.Nature reviews. Nephrology · 2021Review
- Self-Care and Its Predictive Factors in Hemodialysis Patients.Journal of caring sciences · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
17 authors at 4 institutions in 1 country.
Funding
Abstract
backgroundChronic kidney disease (CKD) is a global public health problem, exhibiting sharp increases in incidence, prevalence, and attributable morbidity and mortality. There is a critical need to better understand the demographics, clinical characteristics, and key risk factors for CKD; and to develop platforms for testing novel interventions to improve modifiable risk factors, particularly for the CKD patients with a rapid decline in kidney function.
methodsWe describe a novel collaboration between two large healthcare systems (Providence St. Joseph Health and University of California, Los Angeles Health) supported by leadership from both institutions, which was created to develop harmonized cohorts of patients with CKD or those at increased risk for CKD (hypertension/HTN, diabetes/DM, pre-diabetes) from electronic health record data.
resultsThe combined repository of candidate records included more than 3.3 million patients with at least a single qualifying measure for CKD and/or at-risk for CKD. The CURE-CKD registry includes over 2.6 million patients with and/or at-risk for CKD identified by stricter guide-line based criteria using a combination of administrative encounter codes, physical examinations, laboratory values and medication use. Notably, data based on race/ethnicity and geography in part, will enable robust analyses to study traditionally disadvantaged or marginalized patients not typically included in clinical trials. DISCUSSION: CURE-CKD project is a unique multidisciplinary collaboration between nephrologists, endocrinologists, primary care physicians with health services research skills, health economists, and those with expertise in statistics, bio-informatics and machine learning. The CURE-CKD registry uses curated observations from real-world settings across two large healthcare systems and has great potential to provide important contributions for healthcare and for improving clinical outcomes in patients with and at-risk for CKD.
Indexed as
Identifiers
What OpenQuestion holds
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.