title: Value of EZSCAN parameters for diabetes screening in Chinese.
abstract: OBJECTIVE
  To study the parameters of EZSCAN as a screening tool for diabetes in Chinese.
  
  
  METHODS
  A total of 6,270 subjects participated in the study. All subjects underwent tests of EZSCAN, fasting plasma glucose (FPG), oral glucose tolerance test and HbA1c.
  
  
  RESULTS
  1. All subjects were divided into 4 groups: the normal group, sugar metabolic abnormalities as low-risk group, middle-risk group and high-risk group. The difference of diabetes incidence among the 4 groups was statistically significant. With the increase of EZSCAN score, the prevalence of diabetes increased significantly. But there is no statistically difference between the low-risk group and the middle-risk group. 2. After adjustment for other variables, there is significantly positive relationship among EZSCAN risk score and the risk of diabetes. Meanwhile there is no statistically difference between the low-risk group and the middle-risk group. 3. The cut-off point of EZSCAN for diabetes was 44.5% with the sensitivity was 73.2% which was higher than of FPG and HbA1c.
  
  
  CONCLUSIONS
  As EZSCAN-diabetes risk score increases, the risk of diabetes increases. EZSCAN can be used as a tool for screening for diabetes. At the best screening diabetes cut-off point value 44.5%, the sensitivity is higher than traditional method of FPG and HbA1c.
authors.affiliation: Department of Health Management, Third Xiangya Hospital, Central South University, Changsha, Hunan, China.
authors.forename: Yanhui
authors.initials: Y
authors.lastname: Lin
authors.affiliation: Department of Health Management, Third Xiangya Hospital, Central South University, Changsha, Hunan, China. Electronic address: 490259632@qq.com.
authors.forename: Zhiheng
authors.initials: Z
authors.lastname: Chen
authors.affiliation: Department of Health Management, Third Xiangya Hospital, Central South University, Changsha, Hunan, China.
authors.forename: Xu
authors.initials: X
authors.lastname: Guo
authors.affiliation: Department of Health Management, Third Xiangya Hospital, Central South University, Changsha, Hunan, China.
authors.forename: Yulin
authors.initials: Y
authors.lastname: Deng
mesh_terms: D015415:Biomarkers / Q000097:blood; D001786:Blood Glucose / Q000378:metabolism; D002681:China / Q000453:epidemiology; D003430:Cross-Sectional Studies; D003920:Diabetes Mellitus / Q000097:blood / Q000175:diagnosis* / Q000453:epidemiology; D005215:Fasting; D005260:Female; D005712:Galvanic Skin Response; D005951:Glucose Tolerance Test; D006442:Glycated Hemoglobin / Q000378:metabolism; D006801:Humans; D015994:Incidence; D007478:Iontophoresis; D016015:Logistic Models; D008297:Male; D015995:Prevalence; D018570:Risk Assessment; D012307:Risk Factors; D012680:Sensitivity and Specificity
chemical_list: D015415:Biomarkers; D001786:Blood Glucose; D006442:Glycated Hemoglobin; C517652:hemoglobin A1c protein, human
keywords: Cribado; Diabetes; EZSCAN; Especificidad; Screening; Sensibilidad; Sensitivity; Specificity