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...
- 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/
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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 |
dc.type.coar.none.fl_str_mv |
http://purl.org/coar/resource_type/c_2df8fbb1 |
dc.type.local.none.fl_str_mv |
Artículo |
dc.type.version.eng.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.coarversion.none.fl_str_mv |
http://purl.org/coar/version/c_970fb48d4fbd8a85 |
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http://purl.org/coar/resource_type/c_2df8fbb1 |
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publishedVersion |
dc.identifier.issn.none.fl_str_mv |
2213-8587 |
dc.identifier.other.none.fl_str_mv |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-84938199196&doi=10.1016%2fS2213-8587%2815%2900129-1&partnerID=40&md5=165bb4fcc5d56b5f57ef4fb86cf6075f |
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 |
dc.identifier.reponame.none.fl_str_mv |
reponame: Biblioteca Digital |
dc.identifier.repourl.none.fl_str_mv |
repourl: https://repository.icesi.edu.co/ |
identifier_str_mv |
2213-8587 instname: Universidad Icesi reponame: Biblioteca Digital repourl: https://repository.icesi.edu.co/ |
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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http://purl.org/coar/access_right/c_abf2 |
rights_invalid_str_mv |
https://creativecommons.org/licenses/by-nc-nd/4.0/ Atribución-NoComercial-SinDerivadas 4.0 Internacional (CC BY-NC-ND 4.0) http://purl.org/coar/access_right/c_abf2 |
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openAccess |
dc.format.extent.spa.fl_str_mv |
14 páginas |
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Digital |
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application/pdf |
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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 |
bitstream.url.fl_str_mv |
http://repository.icesi.edu.co/biblioteca_digital/bitstream/10906/81710/1/guerrero_effects_diabetes_2015.pdf |
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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 |