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Research Article

Risk Models to Predict Chronic Kidney Disease and Its Progression: A Systematic Review

  • Justin B. Echouffo-Tcheugui mail,

    jechouf@emory.edu (JBET); andre.kengne@mrc.ac.za (APK)

    Affiliation: Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, Georgia, United States of America

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  • Andre P. Kengne mail

    jechouf@emory.edu (JBET); andre.kengne@mrc.ac.za (APK)

    Affiliations: NCRP for Cardiovascular and Metabolic Diseases, South African Medical Research Council, Cape Town, South Africa, Department of Medicine, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa, The George Institute for Global Health, Sydney, Australia, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, The Netherlands

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  • Published: November 20, 2012
  • DOI: 10.1371/journal.pmed.1001344

About the Authors

Justin B. Echouffo-Tcheugui
Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, Georgia, United States of America
Andre P. Kengne
NCRP for Cardiovascular and Metabolic Diseases, South African Medical Research Council, Cape Town, South Africa
Andre P. Kengne
Department of Medicine, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa
Andre P. Kengne
The George Institute for Global Health, Sydney, Australia
Andre P. Kengne
Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, The Netherlands

Corresponding Authors

Competing Interests

The authors have declared that no competing interests exist.

Author Contributions

Conceived and designed the experiments: JBE APK. Performed the experiments: JBE APK. Analyzed the data: JBE APK. Contributed reagents/materials/analysis tools: JBE APK. Wrote the first draft of the manuscript: JBE. Contributed to the writing of the manuscript: JBE APK. ICMJE criteria for authorship read and met: JBE APK. Agree with manuscript results and conclusions: JBE APK.