ArticleExperimental and therapeutic medicine2015
A preliminary investigation of EZSCAN™ screening for impaired glucose tolerance and diabetes in a patient population.
Article in Experimental and therapeutic medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 2 of them syntheses that pooled it.
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Who cites it
6 citing papers in PubMed, 2 syntheses or guidelines pooled it, 8 citations in OpenAlex.
- Electrochemical skin conductance: a systematic review.Clinical autonomic research : official journal of the Clinical Autonomic Research Society · 2019Pooled it
- EZSCAN for undiagnosed type 2 diabetes mellitus: A systematic review and meta-analysis.PloS one · 2017Pooled it
- Early Detection of Diabetic Peripheral Neuropathy: A Focus on Small Nerve Fibres.Diagnostics (Basel, Switzerland) · 2021Review
- DS21, a new noninvasive technology, is effective and safe for screening for prediabetes and diabetes in Chinese population.Biomedical engineering online · 2020Article
- A formula based on autonomic test using EZSCAN and anthropometric data for diagnosis of DM in China.Scientific reports · 2020Article
- Role of the physical fitness test in risk prediction of diabetes among municipal in-service personnel in Guangxi.Medicine · 2019Observational
Corrections and comments
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Authors and funding
6 authors at 5 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
EZSCAN™ is a non-invasive technology that evaluates sweat gland dysfunction using electrochemical skin conductance measurements, providing an opportunity to determine the risk of impaired glucose tolerance (IGT) and diabetes mellitus (DM). This study was conducted with the aims of detecting IGT and DM and investigating the efficacy and cut-off points of the EZSCAN test in a patient population. The traditional serum and plasma glucose tests were used as comparators. In this cross-sectional study, 270 previously undiagnosed patients (180 women and 90 men) with a high risk of glucose metabolism disorders (≥45 years old) were enrolled. All patients underwent an oral glucose tolerance test (OGTT) and hemoglobin A1c (HbA1c), fasting plasma glucose (FPG) and EZSCAN tests. Forty (14.8%) patients had newly diagnosed DM (NDM), 79 (29.3%) had IGT and 151 (55.9%) had normal glucose tolerance. The EZSCAN values of these groups were 48±11, 47±11 and 34±13%, respectively. For all patients, the correlation coefficient of EZSCAN was 0.462 with the OGTT (P<0.001), 0.182 with the FPG test (P<0.001) and 0.379 with the HbA1c test (P<0.001). The EZSCAN cut-off point for the detection of IGT was 37% [sensitivity, 82%; specificity, 62%; area under the curve (AUC), 0.778], and the cut-off point for NDM was 50% (sensitivity, 53%; specificity, 59%; AUC, 0.528). This study demonstrated that the non-invasive EZSCAN system is an effective screening tool for the detection of glucose dysfunction in the population tested, and that its performance in detecting previously undiagnosed IGT is superior to its performance in detecting DM.
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