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Predicting Risk Of Chronic Kidney Disease Requires More Work On Models

Models used for predicting the likelihood of individuals developing chronic kidney disease and for predicting disease progression in people who already have the condition are useful tools but not yet robust enough to help inform clinical guidelines, according to a study published in this week'sPLOS Medicine. 



Chronic kidney disease is a common but serious condition which can lead to kidney failure. The condition cannot be cured but progression of the disease can be slowed by controlling high blood pressure and diabetes, both causes of chronic kidney disease, and by adopting a healthy lifestyle. Identifying people who are at risk of developing chronic kidney disease is therefore of utmost importance and researchers are currently using "risk models" - a method to assess the risk of developing the condition - as currently, there is no screening test for chronic kidney disease.

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