Global variation in diabetes diagnosis and prevalence based on fasting glucose and hemoglobin A1c
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00023001%3A_____%2F23%3A00084432" target="_blank" >RIV/00023001:_____/23:00084432 - isvavai.cz</a>
Nalezeny alternativní kódy
RIV/00216224:14310/23:00133735 RIV/00064190:_____/23:10001074
Výsledek na webu
<a href="http://www.nature.com/articles/s41591-023-02610-2" target="_blank" >http://www.nature.com/articles/s41591-023-02610-2</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1038/s41591-023-02610-2" target="_blank" >10.1038/s41591-023-02610-2</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Global variation in diabetes diagnosis and prevalence based on fasting glucose and hemoglobin A1c
Popis výsledku v původním jazyce
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. © 2023, The Author(s).
Název v anglickém jazyce
Global variation in diabetes diagnosis and prevalence based on fasting glucose and hemoglobin A1c
Popis výsledku anglicky
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. © 2023, The Author(s).
Klasifikace
Druh
J<sub>imp</sub> - Článek v periodiku v databázi Web of Science
CEP obor
—
OECD FORD obor
30202 - Endocrinology and metabolism (including diabetes, hormones)
Návaznosti výsledku
Projekt
—
Návaznosti
N - Vyzkumna aktivita podporovana z neverejnych zdroju
Ostatní
Rok uplatnění
2023
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
Nature medicine
ISSN
1078-8956
e-ISSN
1546-170X
Svazek periodika
29
Číslo periodika v rámci svazku
November
Stát vydavatele periodika
US - Spojené státy americké
Počet stran výsledku
33
Strana od-do
"2885–2901"
Kód UT WoS článku
001103103800003
EID výsledku v databázi Scopus
2-s2.0-85176735771