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

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

Abstract 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 s...

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Auteurs principaux: Sarega Gurudas, Manjula Nugawela, A. Toby Prevost, Thirunavukkarasu Sathish, Rohini Mathur, J. M. Rafferty, Kevin Blighe, Ramachandran Rajalakshmi, Anjana R. Mohan, Jebarani Saravanan, Azeem Majeed, Viswanthan Mohan, David R. Owens, John Robson, Sobha Sivaprasad, the ORNATE India Study Group
Format: article
Langue:EN
Publié: Nature Portfolio 2021
Sujets:
Medicine
R
Science
Q
Accès en ligne:https://doaj.org/article/ed6372bb348e41e0939b2808d1e378b6
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https://doaj.org/article/ed6372bb348e41e0939b2808d1e378b6

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