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Article: Global variation in diabetes diagnosis and prevalence based on fasting glucose and hemoglobin A1c
Title | Global variation in diabetes diagnosis and prevalence based on fasting glucose and hemoglobin A1c |
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Authors | Zhou, BinSheffer, Kate EBennett, James EGregg, Edward WDanaei, GoodarzSingleton, Rosie KShaw, Jonathan EMishra, AnuLhoste, Victor P FCarrillo-Larco, Rodrigo MKengne, Andre PPhelps, Nowell HHeap, Rachel ARayner, Archie WStevens, Gretchen APaciorek, Chris JRiley, Leanne MCowan, Melanie JSavin, StefanVan der, Hoorn StephenLu, YuanPavkov, Meda EImperatore, GiuseppinaAguilar-Salinas, Carlos AAhmad, Noor AniAnjana, Ranjit MohanDavletov, KairatFarzadfar, FarshadGonzález-Villalpando, ClicerioKhang, Young-HoKim, Hyeon ChangLaatikainen, TiinaLaxmaiah, AvulaMbanya, Jean Claude NNarayan, K M VenkatRamachandran, AmbadyWade, Alisha NZdrojewski, TomaszAbbasi-Kangevari, MohsenRahim, Hanan F AbdulAbu-Rmeileh, Niveen MAdambekov, ShalkarAdams, Robert JAekplakorn, WichaiAgdeppa, Imelda AAghazadeh-Attari, JavadAgyemang, CharlesAhmadi, AliAhmadi, NaserAhmadi, NastaranAhmed, Soheir HAjlouni, KamelAl-Hinai, HalimaAl-Lahou, BadreyaAl-Lawati, Jawad AAsfoor, Deena AlAl, Qaoud Nawal MAlarouj, MoniraAlBuhairan, FadiaAlDhukair, ShahlaAldwairji, Maryam AAli, Mohamed MAlinezhad, FarbodAlkandari, AbdullahAlomirah, Husam FAly, EmanAmarapurkar, Deepak NAndersen, Lars BoAnderssen, Sigmund AAndrade, Dolores SAnsari-Moghaddam, AlirezaAounallah-Skhiri, HajerAris, TahirArlappa, NimmathotaAryal, Krishna KAssah, Felix KAssembekov, BatyrbekAuvinen, JuhaAvdičová, MáriaAzad, KishwarAzimi-Nezhad, MohsenAzizi, FereidounHo, Daniel Sai YinLeung, Gabriel MatthewNi, Michael Yuxuanet al |
Issue Date | 9-Nov-2023 |
Publisher | Nature Research |
Citation | Nature Medicine, 2023 How to Cite? |
Abstract | 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. |
Persistent Identifier | http://hdl.handle.net/10722/339094 |
ISSN | 2023 Impact Factor: 58.7 2023 SCImago Journal Rankings: 19.045 |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | Zhou, Bin | - |
dc.contributor.author | Sheffer, Kate E | - |
dc.contributor.author | Bennett, James E | - |
dc.contributor.author | Gregg, Edward W | - |
dc.contributor.author | Danaei, Goodarz | - |
dc.contributor.author | Singleton, Rosie K | - |
dc.contributor.author | Shaw, Jonathan E | - |
dc.contributor.author | Mishra, Anu | - |
dc.contributor.author | Lhoste, Victor P F | - |
dc.contributor.author | Carrillo-Larco, Rodrigo M | - |
dc.contributor.author | Kengne, Andre P | - |
dc.contributor.author | Phelps, Nowell H | - |
dc.contributor.author | Heap, Rachel A | - |
dc.contributor.author | Rayner, Archie W | - |
dc.contributor.author | Stevens, Gretchen A | - |
dc.contributor.author | Paciorek, Chris J | - |
dc.contributor.author | Riley, Leanne M | - |
dc.contributor.author | Cowan, Melanie J | - |
dc.contributor.author | Savin, Stefan | - |
dc.contributor.author | Van der, Hoorn Stephen | - |
dc.contributor.author | Lu, Yuan | - |
dc.contributor.author | Pavkov, Meda E | - |
dc.contributor.author | Imperatore, Giuseppina | - |
dc.contributor.author | Aguilar-Salinas, Carlos A | - |
dc.contributor.author | Ahmad, Noor Ani | - |
dc.contributor.author | Anjana, Ranjit Mohan | - |
dc.contributor.author | Davletov, Kairat | - |
dc.contributor.author | Farzadfar, Farshad | - |
dc.contributor.author | González-Villalpando, Clicerio | - |
dc.contributor.author | Khang, Young-Ho | - |
dc.contributor.author | Kim, Hyeon Chang | - |
dc.contributor.author | Laatikainen, Tiina | - |
dc.contributor.author | Laxmaiah, Avula | - |
dc.contributor.author | Mbanya, Jean Claude N | - |
dc.contributor.author | Narayan, K M Venkat | - |
dc.contributor.author | Ramachandran, Ambady | - |
dc.contributor.author | Wade, Alisha N | - |
dc.contributor.author | Zdrojewski, Tomasz | - |
dc.contributor.author | Abbasi-Kangevari, Mohsen | - |
dc.contributor.author | Rahim, Hanan F Abdul | - |
dc.contributor.author | Abu-Rmeileh, Niveen M | - |
dc.contributor.author | Adambekov, Shalkar | - |
dc.contributor.author | Adams, Robert J | - |
dc.contributor.author | Aekplakorn, Wichai | - |
dc.contributor.author | Agdeppa, Imelda A | - |
dc.contributor.author | Aghazadeh-Attari, Javad | - |
dc.contributor.author | Agyemang, Charles | - |
dc.contributor.author | Ahmadi, Ali | - |
dc.contributor.author | Ahmadi, Naser | - |
dc.contributor.author | Ahmadi, Nastaran | - |
dc.contributor.author | Ahmed, Soheir H | - |
dc.contributor.author | Ajlouni, Kamel | - |
dc.contributor.author | Al-Hinai, Halima | - |
dc.contributor.author | Al-Lahou, Badreya | - |
dc.contributor.author | Al-Lawati, Jawad A | - |
dc.contributor.author | Asfoor, Deena Al | - |
dc.contributor.author | Al, Qaoud Nawal M | - |
dc.contributor.author | Alarouj, Monira | - |
dc.contributor.author | AlBuhairan, Fadia | - |
dc.contributor.author | AlDhukair, Shahla | - |
dc.contributor.author | Aldwairji, Maryam A | - |
dc.contributor.author | Ali, Mohamed M | - |
dc.contributor.author | Alinezhad, Farbod | - |
dc.contributor.author | Alkandari, Abdullah | - |
dc.contributor.author | Alomirah, Husam F | - |
dc.contributor.author | Aly, Eman | - |
dc.contributor.author | Amarapurkar, Deepak N | - |
dc.contributor.author | Andersen, Lars Bo | - |
dc.contributor.author | Anderssen, Sigmund A | - |
dc.contributor.author | Andrade, Dolores S | - |
dc.contributor.author | Ansari-Moghaddam, Alireza | - |
dc.contributor.author | Aounallah-Skhiri, Hajer | - |
dc.contributor.author | Aris, Tahir | - |
dc.contributor.author | Arlappa, Nimmathota | - |
dc.contributor.author | Aryal, Krishna K | - |
dc.contributor.author | Assah, Felix K | - |
dc.contributor.author | Assembekov, Batyrbek | - |
dc.contributor.author | Auvinen, Juha | - |
dc.contributor.author | Avdičová, Mária | - |
dc.contributor.author | Azad, Kishwar | - |
dc.contributor.author | Azimi-Nezhad, Mohsen | - |
dc.contributor.author | Azizi, Fereidoun | - |
dc.contributor.author | Ho, Daniel Sai Yin | - |
dc.contributor.author | Leung, Gabriel Matthew | - |
dc.contributor.author | Ni, Michael Yuxuan | - |
dc.contributor.author | et al | - |
dc.date.accessioned | 2024-03-11T10:33:51Z | - |
dc.date.available | 2024-03-11T10:33:51Z | - |
dc.date.issued | 2023-11-09 | - |
dc.identifier.citation | Nature Medicine, 2023 | - |
dc.identifier.issn | 1078-8956 | - |
dc.identifier.uri | http://hdl.handle.net/10722/339094 | - |
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.language | eng | - |
dc.publisher | Nature Research | - |
dc.relation.ispartof | Nature Medicine | - |
dc.rights | This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. | - |
dc.title | Global variation in diabetes diagnosis and prevalence based on fasting glucose and hemoglobin A1c | - |
dc.type | Article | - |
dc.identifier.doi | 10.1038/s41591-023-02610-2 | - |
dc.identifier.scopus | eid_2-s2.0-85176735771 | - |
dc.identifier.eissn | 1546-170X | - |
dc.identifier.isi | WOS:001103103800003 | - |
dc.identifier.issnl | 1078-8956 | - |