Effects of diabetes definition on global surveillance of diabetes prevalence and diagnosis: A pooled analysis of 96 population-based studies with 331 288 participants

Background: Diabetes has been defined on the basis of different biomarkers, including fasting plasma glucose (FPG), 2-h plasma glucose in an oral glucose tolerance test (2hOGTT), and HbA<inf>1c</inf>. We assessed the effect of different diagnostic definitions on both the population preva...

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Autores:
Danaei, Goodarz
Guerrero, Ramiro
Lu, Yuan
Fahimi, Saman
Tipo de recurso:
Article of investigation
Fecha de publicación:
2015
Institución:
Universidad ICESI
Repositorio:
Repositorio ICESI
Idioma:
eng
OAI Identifier:
oai:repository.icesi.edu.co:10906/81710
Acceso en línea:
https://www.scopus.com/inward/record.uri?eid=2-s2.0-84938199196&doi=10.1016%2fS2213-8587%2815%2900129-1&partnerID=40&md5=165bb4fcc5d56b5f57ef4fb86cf6075f
http://hdl.handle.net/10906/81710
http://dx.doi.org/10.1016/S2213-8587(15)00129-1
Palabra clave:
Medical sciences
Glucose blood
Biological marker
Glucose
Ciencias socio biomédicas
diabetes
Glucosa
Rights
openAccess
License
https://creativecommons.org/licenses/by-nc-nd/4.0/
id ICESI2_b2c76660fdadcde51ed37361b9dbab2b
oai_identifier_str oai:repository.icesi.edu.co:10906/81710
network_acronym_str ICESI2
network_name_str Repositorio ICESI
repository_id_str
dc.title.none.fl_str_mv Effects of diabetes definition on global surveillance of diabetes prevalence and diagnosis: A pooled analysis of 96 population-based studies with 331 288 participants
title Effects of diabetes definition on global surveillance of diabetes prevalence and diagnosis: A pooled analysis of 96 population-based studies with 331 288 participants
spellingShingle Effects of diabetes definition on global surveillance of diabetes prevalence and diagnosis: A pooled analysis of 96 population-based studies with 331 288 participants
Medical sciences
Glucose blood
Biological marker
Glucose
Ciencias socio biomédicas
diabetes
Glucosa
title_short Effects of diabetes definition on global surveillance of diabetes prevalence and diagnosis: A pooled analysis of 96 population-based studies with 331 288 participants
title_full Effects of diabetes definition on global surveillance of diabetes prevalence and diagnosis: A pooled analysis of 96 population-based studies with 331 288 participants
title_fullStr Effects of diabetes definition on global surveillance of diabetes prevalence and diagnosis: A pooled analysis of 96 population-based studies with 331 288 participants
title_full_unstemmed Effects of diabetes definition on global surveillance of diabetes prevalence and diagnosis: A pooled analysis of 96 population-based studies with 331 288 participants
title_sort Effects of diabetes definition on global surveillance of diabetes prevalence and diagnosis: A pooled analysis of 96 population-based studies with 331 288 participants
dc.creator.fl_str_mv Danaei, Goodarz
Guerrero, Ramiro
Lu, Yuan
Fahimi, Saman
dc.contributor.author.spa.fl_str_mv Danaei, Goodarz
Guerrero, Ramiro
Lu, Yuan
Fahimi, Saman
dc.subject.eng.fl_str_mv Medical sciences
Glucose blood
Biological marker
Glucose
topic Medical sciences
Glucose blood
Biological marker
Glucose
Ciencias socio biomédicas
diabetes
Glucosa
dc.subject.spa.fl_str_mv Ciencias socio biomédicas
dc.subject.none.fl_str_mv diabetes
Glucosa
description Background: Diabetes has been defined on the basis of different biomarkers, including fasting plasma glucose (FPG), 2-h plasma glucose in an oral glucose tolerance test (2hOGTT), and HbA<inf>1c</inf>. We assessed the effect of different diagnostic definitions on both the population prevalence of diabetes and the classification of previously undiagnosed individuals as having diabetes versus not having diabetes in a pooled analysis of data from population-based health examination surveys in different regions. Methods: We used data from 96 population-based health examination surveys that had measured at least two of the biomarkers used for defining diabetes. Diabetes was defined using HbA<inf>1c</inf> (HbA<inf>1c</inf> ≥6·5% or history of diabetes diagnosis or using insulin or oral hypoglycaemic drugs) compared with either FPG only or FPG-or-2hOGTT definitions (FPG ≥7·0 mmol/L or 2hOGTT ≥11·1 mmol/L or history of diabetes or using insulin or oral hypoglycaemic drugs). We calculated diabetes prevalence, taking into account complex survey design and survey sample weights. We compared the prevalences of diabetes using different definitions graphically and by regression analyses. We calculated sensitivity and specificity of diabetes diagnosis based on HbA<inf>1c</inf> compared with diagnosis based on glucose among previously undiagnosed individuals (ie, excluding those with history of diabetes or using insulin or oral hypoglycaemic drugs). We calculated sensitivity and specificity in each survey, and then pooled results using a random-effects model. We assessed the sources of heterogeneity of sensitivity by meta-regressions for study characteristics selected a priori. Findings: Population prevalence of diabetes based on FPG-or-2hOGTT was correlated with prevalence based on FPG alone (r=0·98), but was higher by 2-6 percentage points at different prevalence levels
publishDate 2015
dc.date.issued.none.fl_str_mv 2015-08-01
dc.date.accessioned.none.fl_str_mv 2017-07-06T16:45:46Z
dc.date.available.none.fl_str_mv 2017-07-06T16:45:46Z
dc.type.eng.fl_str_mv info:eu-repo/semantics/article
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dc.type.version.eng.fl_str_mv info:eu-repo/semantics/publishedVersion
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dc.identifier.uri.none.fl_str_mv http://hdl.handle.net/10906/81710
dc.identifier.doi.none.fl_str_mv http://dx.doi.org/10.1016/S2213-8587(15)00129-1
dc.identifier.instname.none.fl_str_mv instname: Universidad Icesi
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identifier_str_mv 2213-8587
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url https://www.scopus.com/inward/record.uri?eid=2-s2.0-84938199196&doi=10.1016%2fS2213-8587%2815%2900129-1&partnerID=40&md5=165bb4fcc5d56b5f57ef4fb86cf6075f
http://hdl.handle.net/10906/81710
http://dx.doi.org/10.1016/S2213-8587(15)00129-1
dc.language.iso.none.fl_str_mv eng
language eng
dc.relation.ispartof.none.fl_str_mv The Lancet Diabetes and Endocrinology, Vol.3, No.8 - 2015
dc.rights.uri.none.fl_str_mv https://creativecommons.org/licenses/by-nc-nd/4.0/
dc.rights.accessrights.eng.fl_str_mv info:eu-repo/semantics/openAccess
dc.rights.license.none.fl_str_mv Atribución-NoComercial-SinDerivadas 4.0 Internacional (CC BY-NC-ND 4.0)
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Atribución-NoComercial-SinDerivadas 4.0 Internacional (CC BY-NC-ND 4.0)
http://purl.org/coar/access_right/c_abf2
eu_rights_str_mv openAccess
dc.format.extent.spa.fl_str_mv 14 páginas
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dc.coverage.spatial.none.fl_str_mv Londres de Lat: 51 30 51 N degrees minutes Lat: 51.5142 decimal degrees Long: 000 05 35 W degrees minutes Long: -0.0931 decimal degrees
dc.publisher.none.fl_str_mv Lancet Publishing Group
dc.publisher.faculty.spa.fl_str_mv Facultad Ciencias de la Salud
dc.publisher.program.spa.fl_str_mv Medicina
dc.publisher.department.spa.fl_str_mv Departamento de Ciencias Básicas Médicas
dc.publisher.place.spa.fl_str_mv Londres
publisher.none.fl_str_mv Lancet Publishing Group
institution Universidad ICESI
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spelling Danaei, GoodarzGuerrero, RamiroLu, YuanFahimi, SamanLondres de Lat: 51 30 51 N degrees minutes Lat: 51.5142 decimal degrees Long: 000 05 35 W degrees minutes Long: -0.0931 decimal degrees2017-07-06T16:45:46Z2017-07-06T16:45:46Z2015-08-012213-8587https://www.scopus.com/inward/record.uri?eid=2-s2.0-84938199196&doi=10.1016%2fS2213-8587%2815%2900129-1&partnerID=40&md5=165bb4fcc5d56b5f57ef4fb86cf6075fhttp://hdl.handle.net/10906/81710http://dx.doi.org/10.1016/S2213-8587(15)00129-1instname: Universidad Icesireponame: Biblioteca Digitalrepourl: https://repository.icesi.edu.co/Background: Diabetes has been defined on the basis of different biomarkers, including fasting plasma glucose (FPG), 2-h plasma glucose in an oral glucose tolerance test (2hOGTT), and HbA<inf>1c</inf>. We assessed the effect of different diagnostic definitions on both the population prevalence of diabetes and the classification of previously undiagnosed individuals as having diabetes versus not having diabetes in a pooled analysis of data from population-based health examination surveys in different regions. Methods: We used data from 96 population-based health examination surveys that had measured at least two of the biomarkers used for defining diabetes. Diabetes was defined using HbA<inf>1c</inf> (HbA<inf>1c</inf> ≥6·5% or history of diabetes diagnosis or using insulin or oral hypoglycaemic drugs) compared with either FPG only or FPG-or-2hOGTT definitions (FPG ≥7·0 mmol/L or 2hOGTT ≥11·1 mmol/L or history of diabetes or using insulin or oral hypoglycaemic drugs). We calculated diabetes prevalence, taking into account complex survey design and survey sample weights. We compared the prevalences of diabetes using different definitions graphically and by regression analyses. We calculated sensitivity and specificity of diabetes diagnosis based on HbA<inf>1c</inf> compared with diagnosis based on glucose among previously undiagnosed individuals (ie, excluding those with history of diabetes or using insulin or oral hypoglycaemic drugs). We calculated sensitivity and specificity in each survey, and then pooled results using a random-effects model. We assessed the sources of heterogeneity of sensitivity by meta-regressions for study characteristics selected a priori. Findings: Population prevalence of diabetes based on FPG-or-2hOGTT was correlated with prevalence based on FPG alone (r=0·98), but was higher by 2-6 percentage points at different prevalence levels14 páginasDigitalapplication/pdfengLancet Publishing GroupFacultad Ciencias de la SaludMedicinaDepartamento de Ciencias Básicas MédicasLondresThe Lancet Diabetes and Endocrinology, Vol.3, No.8 - 2015EL AUTOR, expresa que la obra objeto de la presente autorización es original y la elaboró sin quebrantar ni suplantar los derechos de autor de terceros, y de tal forma, la obra es de su exclusiva autoría y tiene la titularidad sobre éste. PARÁGRAFO: en caso de queja o acción por parte de un tercero referente a los derechos de autor sobre el artículo, folleto o libro en cuestión, EL AUTOR, asumirá la responsabilidad total, y saldrá en defensa de los derechos aquí autorizados; para todos los efectos, la Universidad Icesi actúa como un tercero de buena fe. Esta autorización, permite a la Universidad Icesi, de forma indefinida, para que en los términos establecidos en la Ley 23 de 1982, la Ley 44 de 1993, leyes y jurisprudencia vigente al respecto, haga publicación de este con fines educativos. Toda persona que consulte ya sea la biblioteca o en medio electrónico podrá copiar apartes del texto citando siempre la fuentes, es decir el título del trabajo y el autor.https://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessAtribución-NoComercial-SinDerivadas 4.0 Internacional (CC BY-NC-ND 4.0)http://purl.org/coar/access_right/c_abf2Medical sciencesGlucose bloodBiological markerGlucoseCiencias socio biomédicasdiabetesGlucosaEffects of diabetes definition on global surveillance of diabetes prevalence and diagnosis: A pooled analysis of 96 population-based studies with 331 288 participantsinfo:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_2df8fbb1Artículoinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/version/c_970fb48d4fbd8a85Comunidad Universidad Icesi – Investigadores38624637ORIGINALguerrero_effects_diabetes_2015.pdfguerrero_effects_diabetes_2015.pdfapplication/pdf386545http://repository.icesi.edu.co/biblioteca_digital/bitstream/10906/81710/1/guerrero_effects_diabetes_2015.pdfd60e5a48cbd98db5b2e6a11d6f11ab66MD5110906/81710oai:repository.icesi.edu.co:10906/817102018-10-09 11:46:01.8Biblioteca Digital - Universidad icesicdcriollo@icesi.edu.co