Systematic Review and Metaanalysis Comparing the Bias and Accuracy of the Modification of Diet in Renal Disease and Chronic Kidney Disease Epidemiology Collaboration Equations in Community-Based Populations

Author:

McFadden Emily C1,Hirst Jennifer A1,Verbakel Jan Y1,McLellan Julie H1,Hobbs F D Richard12,Stevens Richard J1,O'Callaghan Chris A32,Lasserson Daniel S324

Affiliation:

1. Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom

2. NIHR Oxford Biomedical Research Centre, John Radcliffe Hospital, Oxford, United Kingdom

3. Nuffield Department of Medicine, University of Oxford, Oxford, United Kingdom

4. Institute of Applied Health Research, College of Medical and Dental Sciences, University of Birmingham

Abstract

Abstract BACKGROUND The majority of patients with chronic kidney disease are diagnosed and monitored in primary care. Glomerular filtration rate (GFR) is a key marker of renal function, but direct measurement is invasive; in routine practice, equations are used for estimated GFR (eGFR) from serum creatinine. We systematically assessed bias and accuracy of commonly used eGFR equations in populations relevant to primary care. CONTENT MEDLINE, EMBASE, and the Cochrane Library were searched for studies comparing measured GFR (mGFR) with eGFR in adult populations comparable to primary care and reporting both the Modification of Diet in Renal Disease (MDRD) and the Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) equations based on standardized creatinine measurements. We pooled data on mean bias (difference between eGFR and mGFR) and on mean accuracy (proportion of eGFR within 30% of mGFR) using a random-effects inverse-variance weighted metaanalysis. We included 48 studies of 26875 patients that reported data on bias and/or accuracy. Metaanalysis of within-study comparisons in which both formulae were tested on the same patient cohorts using isotope dilution-mass spectrometry-traceable creatinine showed a lower mean bias in eGFR using CKD-EPI of 2.2 mL/min/1.73 m2 (95% CI, 1.1–3.2; 30 studies; I2 = 74.4%) and a higher mean accuracy of CKD-EPI of 2.7% (1.6–3.8; 47 studies; I2 = 55.5%). Metaregression showed that in both equations bias and accuracy favored the CKD-EPI equation at higher mGFR values. SUMMARY Both equations underestimated mGFR, but CKD-EPI gave more accurate estimates of GFR.

Funder

National Institute for Health Research

Publisher

Oxford University Press (OUP)

Subject

Biochemistry (medical),Clinical Biochemistry

Reference71 articles.

1. Chronic kidney disease and the risks of death, cardiovascular events, and hospitalization;Go;N Engl J Med,2004

2. Risk of coronary events in people with chronic kidney disease compared with those with diabetes: a population-level cohort study;Tonelli;Lancet,2012

3. Chronic kidney disease: global dimension and perspectives;Jha;Lancet,2013

4. Chronic kidney disease: early identification and management of chronic kidney disease in adults in primary and secondary care. CG182;National Institute for Health and Care Excellence,2014

5. KDIGO 2012 clinical practice guideline for the evaluation and management of chronic kidney disease;Kidney Disease: Improving Global Outcomes (KDIGO) CKD Work Group;Kidney Int,2013

同舟云学术

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