• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

报告估算肾小球滤过率(eGFR)及其对慢性肾脏病(CKD)诊断的意义。

Reporting the eGFR and its implication for CKD diagnosis.

作者信息

Botev Rossini, Mallié Jean-Pierre

机构信息

Department of Nephrology, Hawaii Permanente Medical Group, 3288 Moanalua Road, Honolulu, HI 96819, USA.

出版信息

Clin J Am Soc Nephrol. 2008 Nov;3(6):1606-7. doi: 10.2215/CJN.04560908. Epub 2008 Oct 15.

DOI:10.2215/CJN.04560908
PMID:18922981
Abstract

The process of diagnosing chronic kidney disease using the estimated GFR involves several pitfalls. The estimated GFR laboratory report should be requested only by practitioners who are familiar with how to interpret the result. Until a more reliable method is available to estimate the GFR, the current chronic kidney disease classification should be revised by reducing the central role of the GFR cutoff levels.

摘要

使用估算肾小球滤过率(GFR)来诊断慢性肾脏病的过程存在一些缺陷。估算GFR的实验室报告应该仅由熟悉如何解读结果的从业者索取。在有更可靠的方法来估算GFR之前,当前的慢性肾脏病分类应该通过降低GFR临界值的核心作用来进行修订。

相似文献

1
Reporting the eGFR and its implication for CKD diagnosis.报告估算肾小球滤过率(eGFR)及其对慢性肾脏病(CKD)诊断的意义。
Clin J Am Soc Nephrol. 2008 Nov;3(6):1606-7. doi: 10.2215/CJN.04560908. Epub 2008 Oct 15.
2
Understanding estimated glomerular filtration rate: implications for identifying chronic kidney disease.了解估算肾小球滤过率:对识别慢性肾脏病的意义
Curr Opin Nephrol Hypertens. 2007 May;16(3):242-9. doi: 10.1097/MNH.0b013e328057de8b.
3
Improving the clinical value of estimating glomerular filtration rate by reporting all values: a contrarian viewpoint.通过报告所有值来提高估算肾小球滤过率的临床价值:一种反传统观点。
Nephron Clin Pract. 2010;115(3):c177-81. doi: 10.1159/000313030. Epub 2010 Apr 23.
4
Assessment of renal function in elderly patients.老年患者肾功能评估
Curr Opin Nephrol Hypertens. 2008 Nov;17(6):604-8. doi: 10.1097/MNH.0b013e32830f454e.
5
[Advances in detection, evaluation and management of chronic kidney disease].[慢性肾脏病的检测、评估与管理进展]
Laeknabladid. 2007 Mar;93(3):201-7.
6
Perspectives on eGFR reporting from the interface between primary and secondary care.基层医疗与二级医疗衔接中估算肾小球滤过率(eGFR)报告的观点
Clin J Am Soc Nephrol. 2009 Feb;4(2):258-60. doi: 10.2215/CJN.05151008.
7
Standardization of serum creatinine measurement: theory and practice.血清肌酐测量的标准化:理论与实践
Scand J Clin Lab Invest Suppl. 2008;241:57-63. doi: 10.1080/00365510802149887.
8
Estimating pediatric glomerular filtration rates in the era of chronic kidney disease staging.慢性肾脏病分期时代小儿肾小球滤过率的估算
J Am Soc Nephrol. 2006 Feb;17(2):487-96. doi: 10.1681/ASN.2005010034. Epub 2005 Dec 21.
9
Associations of endogenous markers of kidney function with outcomes: more and less than glomerular filtration rate.内源性肾功能标志物与结局的相关性:肾小球滤过率的多与少。
Curr Opin Nephrol Hypertens. 2013 May;22(3):331-5. doi: 10.1097/MNH.0b013e32835fe5ad.
10
Reporting eGFR.报告估算肾小球滤过率(eGFR)
Clin J Am Soc Nephrol. 2008 Sep;3(5):1561-2. doi: 10.2215/CJN.02870608. Epub 2008 Jul 30.

引用本文的文献

1
Machine Learning for Renal Pathologies: An Updated Survey.机器学习在肾病变中的应用:最新研究综述。
Sensors (Basel). 2022 Jul 1;22(13):4989. doi: 10.3390/s22134989.
2
Comparison of Surface-Enhanced Raman Scattering Properties of Serum and Urine for the Detection of Chronic Kidney Disease in Patients.血清和尿液表面增强拉曼散射特性比较在慢性肾脏病患者检测中的应用。
Appl Spectrosc. 2021 Apr;75(4):412-421. doi: 10.1177/0003702820966322. Epub 2020 Oct 29.
3
Comparison of modification of diet in renal disease and chronic kidney disease epidemiology collaboration formulas in predicting long-term outcomes in patients undergoing stent implantation due to stable coronary artery disease.
比较肾脏疾病饮食改良法与慢性肾脏病流行病学合作公式在预测因稳定型冠状动脉疾病接受支架植入术患者长期预后中的作用。
Clin Res Cardiol. 2014 Jul;103(7):569-76. doi: 10.1007/s00392-014-0687-1. Epub 2014 Mar 9.