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Clinical Practice Guidelines in Nephrology

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Book cover Modeling and Control of Dialysis Systems

Part of the book series: Studies in Computational Intelligence ((SCI,volume 405))

Abstract

The pursuit of evidence for the effectiveness of medical interventions was an early characteristic of western medicine. The development of scientific methods to identify the most effective treatment modalities culminated in the concepts and paradigms of evidence-based medicine (EBM) in the second half of the 20th century. The premise of Archie Cochrane, a founder of EBM, that “all treatment must be proved to be effective” is still valid today. Meanwhile, the increasing awareness that many patients do not receive the best standard of care as determined by scientific evidence raised questions on how to better assist physicians in their clinical decision making. This brought the attention to clinical practice guidelines (CPGs), which include graded recommendations developed by experts based on the quality of the available scientific evidence. CPGs are considered one of the most potential tools in helping to improve patient outcomes by providing doctors and patients with information on best-practice standards. While previous approaches for guideline development were often based on tradition or authority, the recommendations found in modern best-practice guidelines are based on standardized methods for grading quality of evidence and strength of recommendation.

In Nephrology this has inspired the development of guidelines by different organizations. While this has certainly led to some improvement in patient care, the uncoordinated approach to guideline development has led to redundancy in some areas of kidney disease management. Therefore, a new initiative, Kidney Disease: Improving Global Outcomes (KDIGO), was founded in 2003 in order to globally coordinate and promote the development of CPGs in nephrology. However, despite the improvement in the development process, there still remain obstacles to the implementation of CPG recommendations.

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Kitzler, T.M., Levin, N.W. (2013). Clinical Practice Guidelines in Nephrology. In: Azar, A. (eds) Modeling and Control of Dialysis Systems. Studies in Computational Intelligence, vol 405. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27558-6_18

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