遇见数据集

Sensitivity and specificity of adipokines and clinical parameters for T2D among obese.

收藏
Figshare2015-12-02 更新2026-04-29 收录
官方服务:

资源简介:

Logistic regression analysis: Sensitivity, specificity and prediction accuracy for T2D in 141 obese individuals. Model 1 includes all 20 adipokines, whereas model 2 represents parameters with the strongest predictive value for T2D identified by Wald backwards stepwise test. All models are adjusted for BMI, age and gender.Abbreviations: BMI. body mass index; FPG, fasting plasma glucose; HOMA_IR, Homeostatic Model Assessment; ANGPTL 6, angiopoietin-like protein 6; DLK1, preadipocyte factor 1; Nampt, nicotinamide phosphoribosyltransferase (visfatin).

逻辑回归分析:141名肥胖个体中2型糖尿病(Type 2 Diabetes, T2D)的灵敏度、特异度与预测准确率。模型1纳入全部20种脂肪因子,模型2则包含经Wald向后逐步检验筛选出的对2型糖尿病预测价值最强的参数。所有模型均针对身体质量指数(Body Mass Index, BMI)、年龄及性别进行校正。 缩写说明:BMI:身体质量指数(Body Mass Index);FPG:空腹血浆葡萄糖(fasting plasma glucose);HOMA_IR:稳态模型评估(Homeostatic Model Assessment);ANGPTL 6:血管生成素样蛋白6(angiopoietin-like protein 6);DLK1:前脂肪细胞因子1(preadipocyte factor 1);Nampt:烟酰胺磷酸核糖转移酶(nicotinamide phosphoribosyltransferase, visfatin)。

创建时间:
2015-12-02
二维码
社区交流群
二维码
科研交流群
商业服务