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

2.50
Hdl Handle:
http://hdl.handle.net/10757/622426
Title:
EZSCAN for undiagnosed type 2 diabetes mellitus: A systematic review and meta-analysis
Authors:
Bernabe-Ortiz, Antonio ( 0000-0002-6834-1376 ) ; Ruiz-Alejos, Andrea; Miranda, J. Jaime; Mathur, Rohini; Perel, Pablo; Smeeth, Liam
Citation:
EZSCAN for undiagnosed type 2 diabetes mellitus: A systematic review and meta-analysis 2017, 12 (10):e0187297 PLOS ONE
Publisher:
Public Library of Science (PLoS)
Journal:
PLOS ONE
Issue Date:
30-Oct-2017
URI:
http://hdl.handle.net/10757/622426
DOI:
10.1371/journal.pone.0187297
Additional Links:
http://dx.plos.org/10.1371/journal.pone.0187297
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 investigators extracted the information for meta-analysis and assessed the quality of the data using the Revised Version of the Quality Assessment of Diagnostic Accuracy Studies (QUADAS-2) checklist. Pooled estimates were obtained by fitting the logistic-normal random-effects model without covariates but random intercepts and using the Freeman-Tukey Arcsine Transformation to stabilize variances. Heterogeneity was also assessed using the I2 measure. Four studies (n = 7,720) were included, three of them used oral glucose tolerance test as the gold standard. Using Hierarchical Summary Receiver Operating Characteristic model, summary sensitivity was 72.0% (95%CI: 60.0%– 83.0%), whereas specificity was 56.0% (95%CI: 38.0%– 74.0%). Studies were very heterogeneous (I2 for sensitivity: 79.2% and for specificity: 99.1%) regarding the inclusion criteria and bias was present mainly due to participants selection. Conclusions: The sensitivity of EZSCAN for detecting cases of undiagnosed T2DM seems to be acceptable, but evidence of high heterogeneity and participant selection bias was detected in most of the studies included. More studies are needed to evaluate the performance of the EZSCAN for undiagnosed T2DM screening, especially at the population level.
Type:
info:eu-repo/semantics/article
Rights:
info:eu-repo/semantics/openAccess
Language:
eng
Keywords:
Type 2 diabetes; Meta-analysis; Systematic reviews; Database searching; HbA1c; Diabetes mellitus; Glucose tolerance tests; Observational studies
ISSN:
1932-6203
Email:
Antonio.Bernabe@upch.pe

Full metadata record

DC FieldValue Language
dc.contributor.authorBernabe-Ortiz, Antonioes
dc.contributor.authorRuiz-Alejos, Andreaes
dc.contributor.authorMiranda, J. Jaimees
dc.contributor.authorMathur, Rohinies
dc.contributor.authorPerel, Pabloes
dc.contributor.authorSmeeth, Liames
dc.date.accessioned2017-11-20T14:44:14Z-
dc.date.available2017-11-20T14:44:14Z-
dc.date.issued2017-10-30-
dc.identifier.citationEZSCAN for undiagnosed type 2 diabetes mellitus: A systematic review and meta-analysis 2017, 12 (10):e0187297 PLOS ONEes
dc.identifier.issn1932-6203-
dc.identifier.doi10.1371/journal.pone.0187297-
dc.identifier.urihttp://hdl.handle.net/10757/622426-
dc.description.abstractObjectives: 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 investigators extracted the information for meta-analysis and assessed the quality of the data using the Revised Version of the Quality Assessment of Diagnostic Accuracy Studies (QUADAS-2) checklist. Pooled estimates were obtained by fitting the logistic-normal random-effects model without covariates but random intercepts and using the Freeman-Tukey Arcsine Transformation to stabilize variances. Heterogeneity was also assessed using the I2 measure. Four studies (n = 7,720) were included, three of them used oral glucose tolerance test as the gold standard. Using Hierarchical Summary Receiver Operating Characteristic model, summary sensitivity was 72.0% (95%CI: 60.0%– 83.0%), whereas specificity was 56.0% (95%CI: 38.0%– 74.0%). Studies were very heterogeneous (I2 for sensitivity: 79.2% and for specificity: 99.1%) regarding the inclusion criteria and bias was present mainly due to participants selection. Conclusions: The sensitivity of EZSCAN for detecting cases of undiagnosed T2DM seems to be acceptable, but evidence of high heterogeneity and participant selection bias was detected in most of the studies included. More studies are needed to evaluate the performance of the EZSCAN for undiagnosed T2DM screening, especially at the population level.es
dc.formatapplication/pdfes
dc.language.isoenges
dc.publisherPublic Library of Science (PLoS)es
dc.relation.urlhttp://dx.plos.org/10.1371/journal.pone.0187297es
dc.rightsinfo:eu-repo/semantics/openAccesses
dc.subjectType 2 diabeteses
dc.subjectMeta-analysises
dc.subjectSystematic reviewses
dc.subjectDatabase searchinges
dc.subjectHbA1ces
dc.subjectDiabetes mellituses
dc.subjectGlucose tolerance testses
dc.subjectObservational studieses
dc.titleEZSCAN for undiagnosed type 2 diabetes mellitus: A systematic review and meta-analysises
dc.typeinfo:eu-repo/semantics/articlees
dc.identifier.journalPLOS ONEes
dc.description.fundingAB-O is supported by a Research Training Fellowship in Public Health and Tropical Medicine (103994/Z/14/Z) and LS is supported by a Senior Research Fellowship in Clinical Science (098504/Z/12/Z), both funded by Wellcome Trust (ww.welcome.ac.uk). The funders had no role in study design, data collection, data analysis,decision to publish or preparation of the manuscript.es_PE
dc.description.peerreviewRevisión por pareses_PE
dc.contributor.emailAntonio.Bernabe@upch.pees_PE
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