ARKconsortium/iohexol_mGFR_eGFR

Fabian, J; Kalyesubula, R

; Mkandawire, J; Hansen, C; Nitsch, D

; Musenge, E; Nakanga, WP; Prynn, JE; Dreyer, G; Snyman, T; Ssebunnya, B; Ramsay, M; Smeeth, L

; Tollman, S; Naicker, S; Crampin, AC

; Newton, R

; George, JA and Tomlinson, LA

(2022). ARKconsortium/iohexol_mGFR_eGFR. [Dataset]. Github. https://github.com/ARKconsortium/iohexol_mGFR_eGFR

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The African Research on Kidney Disease (ARK) Consortium has made available a standardised set of relevant data from the Malawi, South Africa, and Uganda study sites. The dataset includes deidentified individual participant data related to estimated and measured glomerular filtration rate (GFR), with accompanying analytic code used for development of the creatinine-based GFR-estimating equation.

Alternative Title

The African Research on Kidney Disease (ARK) Consortium

Keywords

Glomerular filtration rate

Item Type	Dataset
Resource Type	Resource Type Resource Description Dataset Quantitative
Capture method	Unknown
Date	21 June 2022
Language(s) of written materials	English
Creator(s)	Fabian, J; Kalyesubula, R ; Mkandawire, J; Hansen, C; Nitsch, D ; Musenge, E; Nakanga, WP; Prynn, JE; Dreyer, G; Snyman, T; Ssebunnya, B; Ramsay, M; Smeeth, L ; Tollman, S; Naicker, S; Crampin, AC ; Newton, R ; George, JA and Tomlinson, LA
LSHTM Faculty/Department	Faculty of Epidemiology and Population Health > Dept of Non-Communicable Disease Epidemiology Faculty of Epidemiology and Population Health > Dept of Population Health (2012- ) MRC/UVRI and LSHTM Uganda Research Unit
Participating Institutions	London School of Hygiene & Tropical Medicine, London, United Kingdom
Date Deposited	13 Jul 2022 13:58
Last Modified	24 Sep 2025 15:10
Publisher	Github