Sattar N, Wannamethee S G, Forouhi N G
BHF Cardiovascular Research Centre, University of Glasgow, 126 University Place, Glasgow G12 8TA, UK.
Diabetologia. 2008 Jun;51(6):926-40. doi: 10.1007/s00125-008-0954-7. Epub 2008 Apr 8.
This review critically appraises studies examining the association of novel factors with diabetes. We show that many of the most studied novel and apparently 'independent' risk factors are correlated with each other by virtue of their common origins or pathways, and that residual confounding is likely. Available studies also have other limitations, including differences in methodology or inadequate statistical analyses. Furthermore, although most relevant work in this area has focused on improving our understanding of the pathogenesis of diabetes, association studies in isolation cannot prove causality; intervention studies with specific agents (if available) are required, and genetic studies may help. With respect to the potential value of novel risk factors for diabetes risk prediction, we illustrate why this work is very much in its infancy and currently not guaranteed to reach clinical utility. Indeed, the existence of several more easily measured powerful predictors of diabetes, suggests that the additional value of novel markers may be limited. Nevertheless, several suggestions to improve relevant research are given. Finally, we show that several risk factors for diabetes are only weakly associated with the risk of incident vascular events, an observation that highlights the limitations of attempting to devise unified criteria (e.g. metabolic syndrome) to identify individuals at risk of both CHD and diabetes.
本综述批判性地评估了研究新因素与糖尿病关联的各项研究。我们发现,许多被广泛研究的新的且看似“独立”的风险因素,因其共同的起源或途径而相互关联,并且可能存在残余混杂因素。现有研究还存在其他局限性,包括方法学差异或统计分析不足。此外,尽管该领域的大多数相关工作都集中在增进我们对糖尿病发病机制的理解上,但单纯的关联研究无法证明因果关系;需要开展针对特定因素的干预研究(如果可行),基因研究可能也会有所帮助。关于新风险因素在糖尿病风险预测方面的潜在价值,我们阐述了为何这项工作仍处于起步阶段,目前尚不能保证其能应用于临床。实际上,存在一些更易于测量的强大的糖尿病预测指标,这表明新标志物的额外价值可能有限。尽管如此,我们还是给出了一些改进相关研究的建议。最后,我们表明,几种糖尿病风险因素与新发血管事件风险之间的关联较弱,这一观察结果凸显了试图制定统一标准(如代谢综合征)来识别同时患有冠心病和糖尿病风险个体的局限性。
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