Global data monitoring systems and early identification for kidney diseases
The variability of health information systems and early identification systems for kidney disease across countries and world regions warrants a global framework for prioritizing the development of these systems.
Authors
- Sandrine Damster
- Mogamat Razeen Davids (ORCID: https://orcid.org/0000-0003-4900-0231)
- Georgina L. Irish (ORCID: https://orcid.org/0000-0003-0758-1867)
- Aminu K. Bello (ORCID: https://orcid.org/0000-0002-6905-5937)
- Syed Saad
- Marcello Tonelli (ORCID: https://orcid.org/0000-0002-0846-3187)
- Masaomi Nangaku (ORCID: https://orcid.org/0000-0001-7401-2934)
- Vivekanand Jha (ORCID: https://orcid.org/0000-0002-8015-9470)
- Ikechi G. Okpechi (ORCID: https://orcid.org/0000-0002-6545-9715)
- Adeera Levin (ORCID: https://orcid.org/0000-0003-2438-8401)
- Jo‐Ann Donner (ORCID: https://orcid.org/0000-0002-5005-909X)
- Fergus Caskey (ORCID: https://orcid.org/0000-0002-5199-3925)
- Silvia Arruebo
- Chih‐Wei Yang (ORCID: https://orcid.org/0000-0001-9782-9517)
- Feng Ye (ORCID: https://orcid.org/0000-0003-3601-8395)
- David W Johnson
Institutions
- University of British Columbia (CA)
- University of Alberta (CA)
- The University of Queensland (AU)
- University of Calgary (CA)
- Chang Gung University (TW)
- Stellenbosch University (ZA)
- Princess Alexandra Hospital (AU)
- Tygerberg Hospital (ZA)
- Chang Gung Memorial Hospital (TW)
- University of Bristol (GB)
- Australia and New Zealand Dialysis and Transplant Registry (AU)
- George Institute for Global Health (IN)
- The University of Tokyo (JP)
Publication Details
- Journal
- Nephrology Dialysis Transplantation
- Published
- 2024-09-01
- DOI
- https://doi.org/10.1093/ndt/gfae127
- Citations
- 2
- Primary Topic
- Chronic Kidney Disease and Diabetes
- Type
- article
- Field-Weighted Citation Impact
- 0.68
Funders
- International Society of Nephrology
- University of Alberta