Global variation in diabetes diagnosis and prevalence based on fasting glucose and hemoglobin A1c

dc.contributor.authorNCD Risk Factor Collaboration (NCD-RisC)
dc.contributor.organizationfi=InFLAMES Lippulaiva|en=InFLAMES Flagship|
dc.contributor.organizationfi=sydäntutkimuskeskus|en=Cardiovascular Medicine (CAPC)|
dc.contributor.organizationfi=tyks, vsshp|en=tyks, varha|
dc.contributor.organizationfi=väestötutkimuskeskus|en=Centre for Population Health Research (POP Centre)|
dc.contributor.organization-code1.2.246.10.2458963.20.35734063924
dc.contributor.organization-code1.2.246.10.2458963.20.42471027641
dc.contributor.organization-code1.2.246.10.2458963.20.68445910604
dc.converis.publication-id182192655
dc.converis.urlhttps://research.utu.fi/converis/portal/Publication/182192655
dc.date.accessioned2025-08-27T20:47:48Z
dc.date.available2025-08-27T20:47:48Z
dc.description.abstract<p>Fasting 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.<br></p>
dc.format.pagerange2885
dc.format.pagerange2901
dc.identifier.eissn1546-170X
dc.identifier.jour-issn1078-8956
dc.identifier.olddbid200246
dc.identifier.oldhandle10024/183273
dc.identifier.urihttps://www.utupub.fi/handle/11111/45957
dc.identifier.urnURN:NBN:fi-fe2025082784950
dc.language.isoen
dc.okm.affiliatedauthorRaitakari, Olli
dc.okm.affiliatedauthorDataimport, tyks, vsshp
dc.okm.discipline3121 Internal medicineen_GB
dc.okm.discipline3121 Sisätauditfi_FI
dc.okm.internationalcopublicationinternational co-publication
dc.okm.internationalityInternational publication
dc.okm.typeA1 ScientificArticle
dc.publisherNature Research
dc.publisher.countryUnited Statesen_GB
dc.publisher.countryYhdysvallat (USA)fi_FI
dc.publisher.country-codeUS
dc.relation.doi10.1038/s41591-023-02610-2
dc.relation.ispartofjournalNature Medicine
dc.relation.issue11
dc.relation.volume29
dc.source.identifierhttps://www.utupub.fi/handle/10024/183273
dc.titleGlobal variation in diabetes diagnosis and prevalence based on fasting glucose and hemoglobin A1c
dc.year.issued2023

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