Development and validation of resource-driven risk prediction models for incident chronic kidney disease in type 2 diabetes

Prediction models for population-based screening need, for global usage, to be resource-driven, involving predictors that are affordably resourced. Here, we report the development and validation of three resource-driven risk models to identify people with type 2 diabetes (T2DM) at risk of stage 3 CK...

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Detalles Bibliográficos
Autores principales: Gurudas, Sarega, Nugawela, Manjula, Prevost, A. Toby, Sathish, Thirunavukkarasu, Mathur, Rohini, Rafferty, J. M., Blighe, Kevin, Rajalakshmi, Ramachandran, Mohan, Anjana R., Saravanan, Jebarani, Majeed, Azeem, Mohan, Viswanthan, Owens, David R., Robson, John, Sivaprasad, Sobha
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8249456/
https://www.ncbi.nlm.nih.gov/pubmed/34211028
http://dx.doi.org/10.1038/s41598-021-93096-w

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8249456/
https://www.ncbi.nlm.nih.gov/pubmed/34211028
http://dx.doi.org/10.1038/s41598-021-93096-w

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