ArticleJAMA network open2022
Analysis of Specialty Nephrology Care Among Patients With Chronic Kidney Disease and High Risk of Disease Progression.
Article in JAMA network open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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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.
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Who cites it
14 citing papers in PubMed, 18 citations in OpenAlex.
- Machine Learning-Predicted Risk Trajectories for Incident Chronic Kidney Disease and Associations with Post-CKD Outcomes.Journal of medical systems · 2026Article
- Clinical Artificial Intelligence Agents in Nephrology: From Prediction to Action Through Workflow-Native Intelligence-A Roadmap for Workflow-Integrated Care.Journal of clinical medicine · 2026Review
- Characteristics of Veterans with CKD Using a Telenephrology Program in the Veterans Health Administration.Clinical journal of the American Society of Nephrology : CJASN · 2026Article
- Addressing Unmet Needs in the Management of Chronic Kidney Disease.International journal of general medicine · 2026Review
- The Emerging Nephrology Physician Workforce in the United States: Defining an Impending Shortfall.Clinical journal of the American Society of Nephrology : CJASN · 2025Article
- Nephrologist's Perceptions of Risk of Severe Chronic Kidney Disease and Outpatient Follow-up After Hospitalization With AKI: Multinational Randomized Survey Study.Canadian journal of kidney health and disease · 2025Article
- Adding biomarker change information to the kidney failure risk equation improves predictive ability for dialysis dependency in eGFR <30 ml/min/1.73 mClinical kidney journal · 2024Article
- Machine learning progressive CKD risk prediction model is associated with CKD-mineral bone disorder.Bone reports · 2024Article
- Characterizing the impact of the Covid-19 pandemic on adults with autosomal dominant polycystic kidney disease: a cross-sectional study.BMC nephrology · 2024Article
- Characterizing the Impact of the Covid-19 Pandemic on Adults with Autosomal Dominant Polycystic Kidney Disease: A Cross-Sectional Study.Research square · 2024Article
- 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
- CKD Progression Prediction in a Diverse US Population: A Machine-Learning Model.Kidney medicine · 2023Article
- Bridging the gap of referral to nephrology care.Nature reviews. Nephrology · 2023Article
- Albuminuria testing and nephrology care among insured US adults with chronic kidney disease: a missed opportunity.BMC primary care · 2022Article
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Authors and funding
5 authors at 4 institutions in 1 country.
Funding
Abstract
Importance: Identification of patients with chronic kidney disease (CKD) with high risk of progression to kidney failure can help ensure they receive appropriate and effective nephrology care. Objective: To examine whether patients with CKD at various levels of kidney failure risk receive nephrology care within 1 year of established risk. Design, Setting, and Participants: This population-based, retrospective cohort study collected nationwide administrative health claims data from 156 733 adult patients who met the Kidney Disease: Improving Global Outcomes initiative CKD diagnostic criteria between January 1, 2012, and December 31, 2019, and had an available urine albumin to creatinine ratio within 90 days of a serum creatinine laboratory test. Patients with a history of dialysis or kidney transplant, a prior visit with a nephrologist in the past year, or palliative care billing codes or those who died or disenrolled within 1 year of the albumin to creatinine ratio measurement were excluded. Data analysis was performed from September 10, 2022, to February 14, 2022. Exposures: Kidney failure risk computed with the 5-year Kidney Failure Risk Equation. Main Outcomes and Measures: The main outcome was nephrology care rates across tiers of kidney failure risk, estimated as the proportion of individuals having a nephrologist visit within 1 year after index time. Results: The study population consisted of 156 733 patients with CKD (mean [SD] age, 74.6 [8.4] years; 91 906 [58.6%] female; 86 457 [55.2%] White). A total of 106 004 patients (67.6%) had a low (≤1%) 5-year risk of kidney failure. Nephrology visit rates increased with higher kidney failure risk. Among the 137 highest-risk patients, 79 (57.7%; 95% CI, 48.4%-64.7%) had a nephrology visit. Among 7730 patients with risk above a 10% threshold, 3208 (41.5%; 95% CI, 40.3%-42.4%) had a nephrology visit. Conclusions and Relevance: This study's findings suggest that nearly half of patients with CKD at high risk of progressing to kidney failure do not have a nephrologist visit within 1 year of established risk. These findings have implications in the design of risk-based guidelines for referral and in the practice of delivering nephrology care to patients with CKD.
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