Optimal strategies for identifying kidney disease in diabetes: properties of screening tests, progression of renal dysfunction and impact of treatment – systematic review and modelling of progression and cost-effectiveness | Zendy

Andrew Farmer | Zendy; Richard Stevens | Zendy; Jennifer Hirst | Zendy; Thomas Lung | Zendy; Jason Oke | Zendy; Philip Clarke | Zendy; Paul Glasziou | Zendy; Andrew Neil | Zendy; David B. Dunger | Zendy; Helen M. Colhoun | Zendy; Christopher W. Pugh | Zendy; Germain Wong | Zendy; Rafael Perera | Zendy; Brian Shine | Zendy

Open Access

Optimal strategies for identifying kidney disease in diabetes: properties of screening tests, progression of renal dysfunction and impact of treatment – systematic review and modelling of progression and cost-effectiveness

Author(s) -

Andrew Farmer,

Richard Stevens,

Jennifer Hirst,

Thomas Lung,

Jason Oke,

Philip Clarke,

Paul Glasziou,

Andrew Neil,

David B. Dunger,

Helen M. Colhoun,

Christopher W. Pugh,

Germain Wong,

Rafael Perera,

Brian Shine

Publication year - 2014

Publication title -

health technology assessment

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.426

H-Index - 126

eISSN - 2046-4924

pISSN - 1366-5278

DOI - 10.3310/hta18140

Subject(s) - medicine , microalbuminuria , kidney disease , renal function , meta analysis , diabetes mellitus , type 2 diabetes , intensive care medicine , systematic review , albuminuria , medline , endocrinology , political science , law

Annual screening for adults with type 2 diabetes to detect the early onset of kidney disease is widely recommended, but the recommendations are based on a limited methodological approach. In addition, there are continuing uncertainties about underlying rates of progression of the condition and the benefits of treatments with angiotensin-converting enzyme inhibitors and angiotensin receptor blockers.

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