Guidelines for the management of type 2 diabetes: is ADA and EASD consensus more clinically relevant than the IDF recommendations?

Abstract Recently, American Diabetes Association (ADA) and European Association for the Study of Diabetes (EASD) as well as International Diabetes Federation (IDF) have all issued their recommendations on the management of type 2 diabetes. Despite the same objectives, these guidelines are substantia...

Full description

Saved in:
Bibliographic Details
Published in:Diabetes research and clinical practice 2009-12, Vol.86, p.S22-S25
Main Author: Czupryniak, Leszek
Format: Article
Language:English
Subjects:
Clinical guidelines
Consensus
Diabetes Mellitus, Type 2 - therapy
Endocrinology & Metabolism
Guidelines as Topic
Humans
Hyperglycemia - diagnosis
Hyperglycemia - physiopathology
Hyperglycemia - prevention & control
International Cooperation
Practice Guidelines as Topic
Societies, Medical
Treatment algorithms
Type 2 diabetes
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Abstract Recently, American Diabetes Association (ADA) and European Association for the Study of Diabetes (EASD) as well as International Diabetes Federation (IDF) have all issued their recommendations on the management of type 2 diabetes. Despite the same objectives, these guidelines are substantially different in terms of target values of glucose control, strategies for drug choice etc. ADA/EASD guidelines offer practical algorithm to help initiate and modify pharmacological therapy for diabetes, with detailed descriptions of treatment options. IDF document, however, concentrates on the role of postprandial hyperglycemia and calls for lower HbA1c target value of 6.5% as opposed to ADA/EASD guidelines advocating value of 7%. Careful analysis of the guidelines contents suggests that ADA/EASD consensus might be more useful in everyday clinical practice than IDF recommendations, which do not offer a particular treatment algorithm.
ISSN:0168-8227
1872-8227
DOI:10.1016/S0168-8227(09)70005-1