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R.Theobald, HolgerTheodoridis, XenophonThomas, NihalThrift, Amanda G.Timmermans, Erik J.Tjandrarini, Dwi HapsariTolonen, Hanna K.Tolstrup, Janne S.Tomaszewski, MaciejTopbas, MuratTorres-Collado, LauraTraissac, PierreTriantafyllou, AretiTuitele, JohnTuliakova, Azaliia M.Tulloch-Reid, Marshall K.Tuomainen, Tomi-PekkaTzala, EvangeliaTzourio, ChristopheUeda, PeterUgel, EuniceUkoli, Flora A. M.Ulmer, HannoUusitalo, Hannu M. T.Valdivia, Gonzalovan den Born, Bert-JanVan der Heyden, JohanVan Minh, Hoangvan Rossem, LenieVan Schoor, Natasja M.van Valkengoed, Irene G. M.van Zutphen, Elisabeth M.Vanderschueren, DirkVanuzzo, DiegoVasan, Senthil K.Vega, TomasVelasquez-Melendez, GustavoVerstraeten, RoosmarijnViet, LucieVillalpando, SalvadorVioque, JesusVirtanen, Jyrki K.Viswanathan, BharathiVoutilainen, AriWan Bebakar, Wan MohamadWan Mohamud, Wan NazaimoonWang, ChongjianWang, NingliWang, QianWang, Ya XingWang, Ying-WeiWannamethee, S. GoyaWebster-Kerr, KarenWedderkopp, NielsWei, WenbinWestbury, Leo D.Whincup, Peter H.Widhalm, KurtWidyahening, Indah S.Więcek, AndrzejWilks, Rainford J.Willeit, JohannWilleit, PeterWilsgaard, TomWojtyniak, BogdanWong, AndrewWong, Emily B.Woodward, MarkWu, Frederick C.Xu, HaiquanXu, LiangYaacob, Nor AzwanyYan, LiYan, WeiliYoosefi, MoeinYoshihara, AkihiroYounger-Coleman, Novie O.Yu, Yu-LingYu, YunjiangYusoff, Ahmad FaudziZainuddin, Ahmad A.Zamani, FarhadZambon, SabinaZampelas, AntonisZaw, Ko KoZeljkovic Vrkic, TajanaZeng, YiZhang, Zhen-YuZholdin, BekbolatZimmet, PaulZitt, EmanuelZoghlami, NadaZuñiga Cisneros, JulioEzzati, Majid2023-12-072023-12-072023-11NCD Risk Factor Collaboration (NCD-RisC) [Brito M]. Global variation in diabetes diagnosis and prevalence based on fasting glucose and hemoglobin A1c. Nat Med. 2023;29(11):2885-901.http://hdl.handle.net/10400.21/16643Fasting 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.engDiabetesDiagnosisDiagnostic markersEpidemiologyPublic healthBlood glucoseGlycated hemoglobinjournal article10.1038/s41591-023-02610-2