Show simple item record

dc.rights.licenseopenen_US
dc.contributor.authorCOLLABORATION, N. C. D. Risk Factor
hal.structure.identifierBordeaux population health [BPH]
dc.contributor.authorTZOURIO, Christophe
IDREF: 69829209
hal.structure.identifierBordeaux population health [BPH]
dc.contributor.authorSOUMARE, Aicha
dc.date.accessioned2024-05-22T11:25:39Z
dc.date.available2024-05-22T11:25:39Z
dc.date.issued2023-11-01
dc.identifier.issn1546-170Xen_US
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/199981
dc.description.abstractEnFasting plasma glucose (FPG) and hemoglobin A1c (HbA1c) are both used to diagnose diabetes, but these measurements can identify different people as having diabetes. We used data from 117 population-based studies and quantified, in different world regions, the prevalence of diagnosed diabetes, and whether those who were previously undiagnosed and detected as having diabetes in survey screening, had elevated FPG, HbA1c or both. We developed prediction equations for estimating the probability that a person without previously diagnosed diabetes, and at a specific level of FPG, had elevated HbA1c, and vice versa. The age-standardized proportion of diabetes that was previously undiagnosed and detected in survey screening ranged from 30% in the high-income western region to 66% in south Asia. Among those with screen-detected diabetes with either test, the age-standardized proportion who had elevated levels of both FPG and HbA1c was 29-39% across regions; the remainder had discordant elevation of FPG or HbA1c. In most low- and middle-income regions, isolated elevated HbA1c was more common than isolated elevated FPG. In these regions, the use of FPG alone may delay diabetes diagnosis and underestimate diabetes prevalence. Our prediction equations help allocate finite resources for measuring HbA1c to reduce the global shortfall in diabetes diagnosis and surveillance.
dc.language.isoENen_US
dc.rightsAttribution 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/us/*
dc.title.enGlobal variation in diabetes diagnosis and prevalence based on fasting glucose and hemoglobin A1c
dc.title.alternativeNat Meden_US
dc.typeArticle de revueen_US
dc.identifier.doi10.1038/s41591-023-02610-2en_US
dc.subject.halSciences du Vivant [q-bio]/Santé publique et épidémiologieen_US
dc.identifier.pubmed37946056en_US
bordeaux.journalNature Medicineen_US
bordeaux.page2885-2901en_US
bordeaux.volume29en_US
bordeaux.hal.laboratoriesBordeaux Population Health Research Center (BPH) - UMR 1219en_US
bordeaux.issue11en_US
bordeaux.institutionUniversité de Bordeauxen_US
bordeaux.institutionINSERMen_US
bordeaux.teamELEANOR_BPHen_US
bordeaux.teamHEALTHY_BPHen_US
bordeaux.peerReviewedouien_US
bordeaux.inpressnonen_US
hal.popularnonen_US
hal.audienceInternationaleen_US
hal.exportfalse
dc.rights.ccPas de Licence CCen_US
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Nature%20Medicine&rft.date=2023-11-01&rft.volume=29&rft.issue=11&rft.spage=2885-2901&rft.epage=2885-2901&rft.eissn=1546-170X&rft.issn=1546-170X&rft.au=COLLABORATION,%20N.%20C.%20D.%20Risk%20Factor&TZOURIO,%20Christophe&SOUMARE,%20Aicha&rft.genre=article


Files in this item

Thumbnail
Thumbnail

This item appears in the following Collection(s)

Show simple item record