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

Λεπτομέρειες βιβλιογραφικής εγγραφής
Τίτλος: Global variation in diabetes diagnosis and prevalence based on fasting glucose and hemoglobin A1c
Συγγραφείς: Zhou, B, Sheffer, KE, Bennett, JE, Gregg, EW, Danaei, G, Singleton, RK, Shaw, JE, Mishra, A, Lhoste, VPF, Carrillo-Larco, RM, Kengne, AP, Phelps, NH, Heap, RA, Rayner, AW, Stevens, GA, Paciorek, CJ, Riley, LM, Cowan, MJ, Savin, S, Vander Hoorn, S, Lu, Y, Pavkov, ME, Imperatore, G, Aguilar-Salinas, CA, Ahmad, NA, Anjana, RM, Davletov, K, Farzadfar, F, González-Villalpando, C, Khang, YH, Kim, HC, Laatikainen, T, Laxmaiah, A, Mbanya, JCN, Narayan, KMV, Ramachandran, A, Wade, AN, Zdrojewski, T, Abbasi-Kangevari, M, Rahim, HFA, Abu-Rmeileh, NM, Adambekov, S, Adams, RJ, Aekplakorn, W, Agdeppa, IA, Aghazadeh-Attari, J, Agyemang, C, Ahmadi, A, Ahmadi, N, Ahmed, SH, Ajlouni, K, Al-Hinai, H, Al-Lahou, B, Al-Lawati, JA, Asfoor, DA, Al Qaoud, NM, Alarouj, M, AlBuhairan, F, AlDhukair, S, Aldwairji, MA, Ali, MM, Alinezhad, F, Alkandari, A, Alomirah, HF, Aly, E, Amarapurkar, DN, Andersen, LB, Anderssen, SA, Andrade, DS, Ansari-Moghaddam, A, Aounallah-Skhiri, H, Aris, T, Arlappa, N, Aryal, KK, Assah, FK, Assembekov, B, Auvinen, J, Avdičová, M, Azad, K, Azimi-Nezhad, M, Azizi, F, Bacopoulou, F, Balakrishna, N, Bamoshmoosh, M, Banach, M, Bandosz, P, Banegas, JR, Barbagallo, CM, Barceló, A, Baretić, M, Barrera, L, Basit, A, Batieha, AM, Batista, AP, Baur, LA, Belavendra, A, Ben Romdhane, H, Benet, M, Berkinbayev, S, Sundstorm, Johan, Simons, Leon, Woodward, Mark
Πηγή: urn:ISSN:1078-8956 ; urn:ISSN:1546-170X ; Nature Medicine, 29, 11, 2885-2901
Στοιχεία εκδότη: Springer Nature
Έτος έκδοσης: 2023
Συλλογή: UNSW Sydney (The University of New South Wales): UNSWorks
Θεματικοί όροι: 4202 Epidemiology, 32 Biomedical and Clinical Sciences, 42 Health Sciences, Diabetes, 4.2 Evaluation of markers and technologies, Metabolic and endocrine, Humans, Glycated Hemoglobin, Glucose, Blood Glucose, Prevalence, Diabetes Mellitus, Fasting, NCD Risk Factor Collaboration (NCD-RisC), anzsrc-for: 4202 Epidemiology, anzsrc-for: 32 Biomedical and Clinical Sciences, anzsrc-for: 42 Health Sciences, anzsrc-for: 11 Medical and Health Sciences
Περιγραφή: 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.
Τύπος εγγράφου: article in journal/newspaper
Περιγραφή αρχείου: application/pdf
Γλώσσα: unknown
Relation: https://hdl.handle.net/1959.4/unsworks_85619
DOI: 10.1038/s41591-023-02610-2
Διαθεσιμότητα: https://hdl.handle.net/1959.4/unsworks_85619
https://unsworks.unsw.edu.au/bitstreams/6d555381-8a0e-44d3-98ae-38415a40c88b/download
https://doi.org/10.1038/s41591-023-02610-2
Rights: open access ; https://purl.org/coar/access_right/c_abf2 ; CC BY ; https://creativecommons.org/licenses/by/4.0/ ; free_to_read
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  Data: Global variation in diabetes diagnosis and prevalence based on fasting glucose and hemoglobin A1c
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  Data: urn:ISSN:1078-8956 ; urn:ISSN:1546-170X ; Nature Medicine, 29, 11, 2885-2901
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  Data: 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.
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  Data: 10.1038/s41591-023-02610-2
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      – TitleFull: Global variation in diabetes diagnosis and prevalence based on fasting glucose and hemoglobin A1c
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            – D: 01
              M: 01
              Type: published
              Y: 2023
          Identifiers:
            – Type: issn-locals
              Value: edsbas
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              Value: edsbas.oa
          Titles:
            – TitleFull: urn:ISSN:1078-8956 ; urn:ISSN:1546-170X ; Nature Medicine, 29, 11, 2885-2901
              Type: main
ResultId 1