What is it about?
A scoping review of prediction models used in the progression of chronic kidney disease.
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Why is it important?
Chronic kidney disease is predicted to be the fifth leading cause of death worldwide by 2040, the global nephrology community recognise the need for newer models of care. Improvements are needed in areas such as expanding research knowledge and developing novel clinical interventions to slow the progression of CKD. The advancement of predictive modelling techniques can improve our understanding of the disease and unlock key interventions to help slow progression and reduce the burden of CKD. Moreover, it has the potential to help clinicians with earlier identification of CKD patients and provide improved patient outcomes.
Perspectives
There were only a small number of studies in the review that used unsupervised and ML models, with the limited numbers making it very difficult to perform a comparison between these models. A more consistent and reproducible approach is required for future studies looking to develop risk prediction models for CKD progression
David Lim
Curtin University
Read the Original
This page is a summary of: Prediction models used in the progression of chronic kidney disease: A scoping review, PLoS ONE, July 2022, PLOS,
DOI: 10.1371/journal.pone.0271619.
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