Literature DB >> 28366245

Value of EZSCAN parameters for diabetes screening in Chinese.

Yanhui Lin1, Zhiheng Chen2, Xu Guo1, Yulin Deng1.   

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.
CONCLUSION: 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.
Copyright © 2017 Elsevier España, S.L.U. All rights reserved.

Entities:  

Keywords:  Cribado; Diabetes; EZSCAN; Especificidad; Screening; Sensibilidad; Sensitivity; Specificity

Mesh:

Substances:

Year:  2017        PMID: 28366245     DOI: 10.1016/j.medcli.2016.11.037

Source DB:  PubMed          Journal:  Med Clin (Barc)        ISSN: 0025-7753            Impact factor:   1.725


  2 in total

Review 1.  EZSCAN for undiagnosed type 2 diabetes mellitus: A systematic review and meta-analysis.

Authors:  Antonio Bernabe-Ortiz; Andrea Ruiz-Alejos; J Jaime Miranda; Rohini Mathur; Pablo Perel; Liam Smeeth
Journal:  PLoS One       Date:  2017-10-30       Impact factor: 3.240

2.  Role of the physical fitness test in risk prediction of diabetes among municipal in-service personnel in Guangxi.

Authors:  Mingming Zhao; Zhixin Wu; Yanqun Huang; Zhirong Jiang; Xiaoying Mo; Heinz Lowis; Yangyang Zhao; Mingsheng Zhang
Journal:  Medicine (Baltimore)       Date:  2019-05       Impact factor: 1.817

  2 in total

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