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The evaluation of screening and early detection strategies for type 2 diabetes and impaired glucose tolerance (DETECT-2) update of the Finnish diabetes risk score for prediction of incident type 2 diabetes

机译:评估2型糖尿病的筛查和早期检测策略以及糖耐量减低(DETECT-2)更新芬兰糖尿病风险评分以预测2型糖尿病的发病率

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摘要

Aims/hypothesis: The Finnish diabetes risk questionnaire is a widely used, simple tool for identification of those at risk for drug-treated type 2 diabetes. We updated the risk questionnaire by using clinically diagnosed and screen-detected type 2 diabetes instead of drug-treated diabetes as an endpoint and by considering additional predictors. Methods: Data from 18,301 participants in studies of the Evaluation of Screening and Early Detection Strategies for Type 2 Diabetes and Impaired Glucose Tolerance (DETECT-2) project with baseline and follow-up information on oral glucose tolerance status were included. Incidence of type 2 diabetes within 5 years was used as the outcome variable. Improvement in discrimination and classification of the logistic regression model was assessed by the area under the receiver-operating characteristic (ROC) curve and by the net reclassification improvement. Internal validation was by bootstrapping techniques. Results: Of the 18,301 participants, 844 developed type 2 diabetes in a period of 5 years (4.6%). The Finnish risk score had an area under the ROC curve of 0.742 (95% CI 0.726-0.758). Re-estimation of the regression coefficients improved the area under the ROC curve to 0.766 (95% CI 0.750-0.783). Additional items such as male sex, smoking and family history of diabetes (parent, sibling or both) improved the area under the ROC curve and net reclassification. Bootstrapping showed good internal validity. Conclusions/interpretation: The predictive value of the original Finnish risk questionnaire could be improved by adding information on sex, smoking and family history of diabetes. The DETECT-2 update of the Finnish diabetes risk questionnaire is an adequate and robust predictor for future screen-detected and clinically diagnosed type 2 diabetes in Europid populations. © 2010 Springer-Verlag.
机译:目的/假设:芬兰糖尿病风险调查表是一种广泛使用的简单工具,用于识别有药物治疗的2型糖尿病风险的人。我们通过使用临床诊断和筛查的2型糖尿病(而非药物治疗的糖尿病)作为终点并考虑了其他预测因素来更新风险调查表。方法:包括来自18,301名参加2型糖尿病和糖耐量减低的筛查和早期检测策略评估研究的数据,其中基线和随访信息包括口服糖耐量状况。以5年内2型糖尿病的发病率作为结果变量。通过接受者操作特征(ROC)曲线下的面积和净重分类改进,评估了逻辑回归模型的判别和分类改进。内部验证是通过自举技术进行的。结果:在18,301名参与者中,有844名在5年内患上2型糖尿病(4.6%)。芬兰风险评分的ROC曲线下面积为0.742(95%CI 0.726-0.758)。回归系数的重新估计将ROC曲线下的面积提高到0.766(95%CI 0.750-0.783)。男性,吸烟和糖尿病家族史(父母,兄弟姐妹或两者兼有)等其他项目改善了ROC曲线和净重分类的面积。引导显示出良好的内部有效性。结论/解释:通过添加有关性别,吸烟和糖尿病家族史的信息,可以提高原始芬兰风险调查表的预测价值。芬兰糖尿病风险调查表的DETECT-2更新是Europid人群未来筛查和临床诊断的2型糖尿病的充分而可靠的预测指标。 ©2010 Springer-Verlag。

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