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Dataset Information

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


ABSTRACT:

Objectives

The EZSCAN is a non-invasive device that, by evaluating sweat gland function, may detect subjects with type 2 diabetes mellitus (T2DM). The aim of the study was to conduct a systematic review and meta-analysis including studies assessing the performance of the EZSCAN for detecting cases of undiagnosed T2DM.

Methodology/principal findings

We searched for observational studies including diagnostic accuracy and performance results assessing EZSCAN for detecting cases of undiagnosed T2DM. OVID (Medline, Embase, Global Health), CINAHL and SCOPUS databases, plus secondary resources, were searched until March 29, 2017. The following keywords were utilized for the systematic searching: type 2 diabetes mellitus, hyperglycemia, EZSCAN, SUDOSCAN, and sudomotor function. Two

SUBMITTER: Bernabe-Ortiz A 

PROVIDER: S-EPMC5662214 | biostudies-literature | 2017

REPOSITORIES: biostudies-literature