Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) Equation Pronouncedly Underestimates Glomerular Filtration Rate in Type 2 Diabetes
Author:
Affiliation:
1. Graduate Program in Medical Sciences: Endocrinology, Universidade Federal do Rio Grande do Sul, Rio Grande do Sul, Brazil
2. Endocrinology Division, Hospital de Clínicas de Porto Alegre, Porto Alegre, Rio Grande do Sul, Brazil
Abstract
Publisher
American Diabetes Association
Subject
Advanced and Specialized Nursing,Endocrinology, Diabetes and Metabolism,Internal Medicine
Link
https://diabetesjournals.org/care/article-pdf/34/11/2353/607272/2353.pdf
Reference10 articles.
1. Association of estimated glomerular filtration rate and albuminuria with all-cause and cardiovascular mortality in general population cohorts: a collaborative meta-analysis;Matsushita;Lancet,2010
2. The definition, classification, and prognosis of chronic kidney disease: a KDIGO Controversies Conference report;Levey;Kidney Int,2011
3. Standards of medical care in diabetes--2011 (Position Statement);American Diabetes Association;Diabetes Care,2011
4. The Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) equation is less accurate in patients with type 2 diabetes when compared with healthy individuals;Camargo;Diabet Med,2011
5. Performance of the chronic kidney disease epidemiology collaboration equation to estimate glomerular filtration rate in diabetic patients;Rognant;Diabetes Care,2011
Cited by 83 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Estimated glomerular filtration rate calculated by serum creatinine lacks precision and accuracy in adults with type 2 diabetes with preserved renal function;Journal of Diabetes and its Complications;2023-09
2. Estimation of the Variation in Glomerular Filtration Rate Based on Glycosylated Hemoglobin, Serum Creatinine and Age, in Type 2 Diabetic Patients with or Without Chronic Kidney Disease;2023-02-22
3. 2009 CKD-EPI glomerular filtration rate estimation in Black individuals outside the United States: a systematic review and meta-analysis;Clinical Kidney Journal;2022-10-29
4. A Deep Learning Approach for the Estimation of Glomerular Filtration Rate;IEEE Transactions on NanoBioscience;2022-10
5. Nomogram-Based Chronic Kidney Disease Prediction Model for Type 1 Diabetes Mellitus Patients Using Routine Pathological Data;Journal of Personalized Medicine;2022-09-14
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3