Crossover studies can help the individualisation of care in type 2 diabetes: the MASTERMIND approach
Crossover studies can help the individualisation of care in type 2 diabetes: the MASTERMIND approach
复制标题
交叉研究有助于 2 型糖尿病的个体化护理:MASTERMIND 方法
DOI:
10.1002/pdi.2015
复制
发表时间:
2016
影响因子:
0.6
通讯作者:
Angwin C
中科院分区:
文献类型:
--
作者:
Angwin C
Individualising care for patients with Type 2 diabetes is a central theme in both the American Diabetes Association (ADA)/European Association for the Study of Diabetes (EASD) 1 and National Institute for Health and Care Excellence (NICE) 2 treatment guidelines. This individualisation involves setting an appropriate target HbA1c for an individual patient and determining choice of treatment primarily by risk of specific side effects and cost. Treatment could also be individualised by identifying subgroups of patients who respond particularly well to one type of glucose lowering therapy and/or have altered risk of treatment specific side effects. As this applies to groups or strata of patients rather than an individual it has been termed “stratification”. A clear example of stratification in diabetes is that patients with HNF1A MODY have a 4-fold better response to sulphonylureas than matched subjects with type 2 diabetes3. This means excellent glycaemic control can be achieved in these patients using very low sulphonylurea doses.Type 2 diabetes lacks the homogeneity of a single gene disease; can we therefore identify subgroups of patients within this group who will respond better to one type of glucose lowering therapy? On the face of it this should be possible; glucose lowering therapies act at different sites and have different mechanisms of action, and patients have differing pathophysiology even when they have a similar degree of hyperglycaemia. Although theoretically attractive, to date the evidence for specific subgroups having a differential response has been limited. This mainly reflects very little work being done to identify subgroups who respond well or badly to a medication and even less trying to identify subgroups where a specific treatment is favoured over another.
影响因子:
4.4
作者:
J. Nikles;Geoffrey Mitchell;Julie Walters;Janet Hardy;Phillip Good;Debra Rowett;Tania Shelby;David C. Currow
通讯作者:
David C. Currow
DOI:
--
发表时间:
2015
期刊:
影响因子:
--
作者:
A. Jones;T. Mcdonald;B. Shields;A. Hill;C. Hyde;B. Knight;A. Hattersley
通讯作者:
A. Hattersley