ArticlePloS one2012
Accessing autonomic function can early screen metabolic syndrome.
Article in PloS one, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.
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Who cites it
10 citing papers in PubMed, 1 synthesis or guideline pooled it.
- EZSCAN for undiagnosed type 2 diabetes mellitus: A systematic review and meta-analysis.PloS one · 2017Pooled it
- Low-Grade Albuminuria Is Associated with Metabolic Syndrome and Its Components in Middle-Aged and Elderly Chinese Population.PloS one · 2013Trial
- The Importance of Evaluating Sudomotor Function in the Diagnosis of Cardiac Autonomic Neuropathy.Cureus · 2024Article
- Assessment of sudomotor function in hypertensive with/without type-2 diabetes patients using SUDOSCAN: An electrophysiological study.Clinical neurophysiology practice · 2021Article
- A formula based on autonomic test using EZSCAN and anthropometric data for diagnosis of DM in China.Scientific reports · 2020Article
- Article
- Evaluating the Impact of Different Hypercaloric Diets on Weight Gain, Insulin Resistance, Glucose Intolerance, and its Comorbidities in Rats.Nutrients · 2019Article
- The Clinical Utility of SUDOSCAN in Chronic Kidney Disease in Chinese Patients with Type 2 Diabetes.PloS one · 2015Article
- Association of EZSCAN values with arterial stiffness in individuals without diabetes or cardiovascular disease.PloS one · 2014Article
- Article
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Authors and funding
12 authors.
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Abstract
backgroundClinical diagnosis of the metabolic syndrome is time-consuming and invasive. Convenient instruments that do not require laboratory or physical investigation would be useful in early screening individuals at high risk of metabolic syndrome. Examination of the autonomic function can be taken as a directly reference and screening indicator for predicting metabolic syndrome. METHODOLOGY AND PRINCIPAL
findingsThe EZSCAN test, as an efficient and noninvasive technology, can access autonomic function through measuring electrochemical skin conductance. In this study, we used EZSCAN value to evaluate autonomic function and to detect metabolic syndrome in 5,887 participants aged 40 years or older. The EZSCAN test diagnostic accuracy was analyzed by receiver operating characteristic curves. Among the 5,815 participants in the final analysis, 2,541 were diagnosed as metabolic syndrome and the overall prevalence was 43.7%. Prevalence of the metabolic syndrome increased with the elevated EZSCAN risk level (p for trend <0.0001). Moreover, EZSCAN value was associated with an increase in the number of metabolic syndrome components (p for trend <0.0001). Compared with the no risk group (EZSCAN value 0-24), participants at the high risk group (EZSCAN value: 50-100) had a 2.35 fold increased risk of prevalent metabolic syndrome after the multiple adjustments. The area under the curve of the EZSCAN test was 0.62 (95% confidence interval [CI], 0.61-0.64) for predicting metabolic syndrome. The optimal operating point for the EZSCAN value to detect a high risk of prevalent metabolic syndrome was 30 in this study, while the sensitivity and specificity were 71.2% and 46.7%, respectively. CONCLUSIONS AND SIGNIFICANCE: In conclusion, although less sensitive and accurate when compared with the clinical definition of metabolic syndrome, we found that the EZSCAN test is a good and simple screening technique for early predicting metabolic syndrome.
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