External validation of a 2-year all-cause mortality prediction tool developed using machine learning in patients with stage 4–5 chronic kidney disease-Reference-Cited by-同舟云学术

External validation of a 2-year all-cause mortality prediction tool developed using machine learning in patients with stage 4–5 chronic kidney disease

Published:2024-07-04 Issue: Volume: Page:
ISSN:1724-6059
Container-title:Journal of Nephrology
language:en
Short-container-title:J Nephrol

Author:

Tran Dung N. T.,Ducher Michel,Fouque Denis,Fauvel Jean-Pierre

Funder

Société Francophone de Dialyse et de Transplantation

Institut National de la Santé et de la Recherche Médicale

GlaxoSmithKline Biologicals

AstraZeneca

Astellas Pharma Europe

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s40620-024-02011-9.pdf

Reference24 articles.

1. WHO (2020) The top 10 causes of death. WHO. https://www.who.int/news-room/fact-sheets/detail/the-top-10-causes-of-death. Accessed 31 Aug 2023

2. Junaid Nazar CM, Kindratt TB, Ahmad SM, Ahmed M, Anderson J (2014) Barriers to the successful practice of chronic kidney diseases at the primary health care level; a systematic review. J Renal Inj Prev 3:61–67. https://doi.org/10.12861/jrip.2014.20

3. Couser WG, Remuzzi G, Mendis S, Tonelli M (2011) The contribution of chronic kidney disease to the global burden of major noncommunicable diseases. Kidney Int 80:1258–1270. https://doi.org/10.1038/ki.2011.368

4. SCORE2 working group and ESC Cardiovascular risk collaboration (2021) SCORE2 risk prediction algorithms: new models to estimate 10-year risk of cardiovascular disease in Europe. Eur Heart J 42:2439–2454. https://doi.org/10.1093/eurheartj/ehab309

5. Hippisley-Cox J, Coupland C, Brindle P (2017) Development and validation of QRISK3 risk prediction algorithms to estimate future risk of cardiovascular disease: prospective cohort study. BMJ 357:j2099. https://doi.org/10.1136/bmj.j2099