Literature DB >> 21700818

Predicting renal risk in the general population: do we have the right formula?

Maarten W Taal.   

Abstract

Mesh：

Year:  2011        PMID： 21700818     DOI： 10.2215/CJN.04200511

Source DB:  PubMed          Journal:  Clin J Am Soc Nephrol        ISSN： 1555-9041            Impact factor:   8.237


× No keyword cloud information.
  4 in total

1.  Risk Prediction for Early CKD in Type 2 Diabetes.

Authors:  Daniela Dunkler; Peggy Gao; Shun Fu Lee; Georg Heinze; Catherine M Clase; Sheldon Tobe; Koon K Teo; Hertzel Gerstein; Johannes F E Mann; Rainer Oberbauer
Journal:  Clin J Am Soc Nephrol       Date:  2015-07-14       Impact factor: 8.237

2.  Estimating One-Year Risk of Incident Chronic Kidney Disease: Retrospective Development and Validation Study Using Electronic Medical Record Data From the State of Maine.

Authors:  Shiying Hao; Tianyun Fu; Qian Wu; Bo Jin; Chunqing Zhu; Zhongkai Hu; Yanting Guo; Yan Zhang; Yunxian Yu; Terry Fouts; Phillip Ng; Devore S Culver; Shaun T Alfreds; Frank Stearns; Karl G Sylvester; Eric Widen; Doff B McElhinney; Xuefeng B Ling
Journal:  JMIR Med Inform       Date:  2017-07-26

3.  Development of a Longitudinal Diagnosis and Prognosis in Patients with Chronic Kidney Disease: Intelligent Clinical Decision-Making Scheme.

Authors:  Chin-Chuan Shih; Ssu-Han Chen; Gin-Den Chen; Chi-Chang Chang; Yu-Lin Shih
Journal:  Int J Environ Res Public Health       Date:  2021-12-04       Impact factor: 3.390

Review 4.  The Landscape of Diabetic Kidney Disease in the United States.

Authors:  O Kenrik Duru; Tim Middleton; Mona K Tewari; Keith Norris
Journal:  Curr Diab Rep       Date:  2018-02-19       Impact factor: 4.810
  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.