ArticleJAMA internal medicine2019
Diagnostic Performance of Creatinine-Based Equations for Estimating Glomerular Filtration Rate in Adults 65 Years and Older.
Article in JAMA internal medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.
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Who cites it
30 citing papers in PubMed, 70 citations in OpenAlex.
- Explainable AI machine learning framework for chronic kidney disease prediction utilizing electronic health records.BMC medical informatics and decision making · 2026Review
- Mind the Gap Between Estimated Needs and Current Resources in Chronic Kidney Disease.Healthcare (Basel, Switzerland) · 2025Article
- Associations of urinary fetuin-A with histopathology and kidney events in biopsy-proven kidney disease.Clinical kidney journal · 2024Article
- Optimal assessment of the glomerular filtration rate in older chinese patients using the equations of the Berlin Initiative Study.Aging clinical and experimental research · 2024Article
- Biomarkers of chronic kidney disease in older individuals: navigating complexity in diagnosis.Frontiers in medicine · 2024Review
- High Thyroid-Stimulating Hormone and Low Free Triiodothyronine Levels Are Associated with Chronic Kidney Disease in Three Population-Based Studies from Germany.Journal of clinical medicine · 2023Article
- Clustering-based spatial analysis (CluSA) framework through graph neural network for chronic kidney disease prediction using histopathology images.Scientific reports · 2023Article
- Data-driven classification of health status of older adults with diabetes: The diabetes and aging study.Journal of the American Geriatrics Society · 2023Article
- A back propagation neural network approach to estimate the glomerular filtration rate in an older population.BMC geriatrics · 2023Article
- Concordance and Discrepancies Among 5 Creatinine-Based Equations for Assessing Estimated Glomerular Filtration Rate in Older Adults.JAMA network open · 2023Article
- The role of kidney dysfunction in COVID-19 and the influence of age.Scientific reports · 2022Article
- Unsupervised machine learning for identifying important visual features through bag-of-words using histopathology data from chronic kidney disease.Scientific reports · 2022Article
- Kidney Function According to Different Equations in Patients Admitted to a Cardiology Unit and Impact on Outcome.Journal of clinical medicine · 2022Article
- The Chronic Kidney Disease Epidemiology Collaboration equations perform less well in an older population with type 2 diabetes than their non-diabetic counterparts.Frontiers in public health · 2022Article
- Glomerular filtration in the aging population.Frontiers in medicine · 2022Review
- Measurement of glomerular filtration rate using endogenous d-serine clearance in living kidney transplant donors and recipients.EClinicalMedicine · 2022Article
- Multiple, random spot urine sampling for estimating urinary sodium excretion.European journal of pediatrics · 2022Article
- Clinical and Prognostic Implications of Estimating Glomerular Filtration Rate by Three Different Creatinine-Based Equations in Older Nursing Home Residents.Frontiers in medicine · 2022Article
- Article
- Evaluation of Four eGFR Calculating Formulae in Predicting Postoperative Acute Kidney Injury in Adult Patients Undergoing Open-Heart Surgery with Cardiopulmonary Bypass.Contrast media & molecular imaging · 2022Article
Corrections and comments
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Authors and funding
6 authors at 5 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Importance: Estimating glomerular filtration rate (GFR) is useful in many clinical conditions. However, very few studies have evaluated the performance of GFR-estimating equations in older adults at various degrees of kidney impairment. Objective: To determine the performance of plasma-creatinine-based equations Chronic Kidney Disease-Epidemiology Collaboration (CKD-EPI), Lund-Malmö Revised, (LMR), full age spectrum (FAS), and Berlin Initiative Study (BIS) 1 in older adults across a broad spectrum of GFRs. Design, Setting, and Participants: Single-center cross-sectional study performed in France including 2247 participants aged 65 to 90 years who underwent inulin GFR measurements from July 1, 2003, to July 30, 2017, for suspected or established renal dysfunction, for renal risk, before kidney donation, or after kidney transplant. Main Outcomes and Measures: The main outcome measure was GRF measured by inulin clearance. Equation performance criteria considered bias (difference between estimated and measured GFR), precision (interquartile range of the median difference), and accuracy P30 (percentage of estimated GFRs lying between [measured GFR - 30% of measured GFR] and [measured GFR + 30% of measured GFR]). Results: The mean (SD) age of the 2247 participants was 71.5 (5) years and 1192 (53.0%) were male. The difference in median (95% CI) bias was significant between CKD-EPI vs LMR (-4.0 [-4.0 to -3.5 mL/min/1.73 m2; P < .001]) and CKD-EPI vs FAS (-2.0 [-3.5 to -2.5] mL/min/1.73 m2, P < .001) but not significant between CKD-EPI vs BIS 1 (0.0 [-1.5 to 0.5], P = .07, Mood test). In patients aged 65 to 74 years with measured GFR<45 mL/min/1.73 m2, the difference in median P30 (95% CI) was not significant between CKD-EPI vs LMR (P = .08) and CKD-EPI vs FAS (P = .48) but significant vs BIS 1 (P = .004, McNemar test). In subjects 75 years and older, with measured GFR less than 45 mL/min/1.73 m2, LMR and BIS 1 were more accurate than CKD-EPI and FAS (P30 = 74.5 [70.0-79.5] and 73.0 [68.0-78.0] vs 69.0 [64.5-74.0] and 69.0 [65.5-72.0]). In all patients, despite small statistical differences, the performance of CKD-EPI equation was not clinically different from that of LMR, FAS, or BIS 1. Conclusions and Relevance: In a referral group of patients 65 years and older who had GFR estimated using CDK-EPI, LMR, BIS 1, and FAS equations, a comparison with renal inulin clearance found that none of the equations had a superior diagnostic performance. Each had limitations regarding accuracy.
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