Glycated albumin in diabetes mellitus: a meta-analysis of diagnostic test accuracy.
diabetes mellitus
diagnosis
diagnostic accuracy
glycated albumin
meta-analysis
Journal
Clinical chemistry and laboratory medicine
ISSN: 1437-4331
Titre abrégé: Clin Chem Lab Med
Pays: Germany
ID NLM: 9806306
Informations de publication
Date de publication:
27 06 2022
27 06 2022
Historique:
received:
07
02
2022
accepted:
04
04
2022
pubmed:
27
4
2022
medline:
26
5
2022
entrez:
26
4
2022
Statut:
epublish
Résumé
Guidelines recommend the diagnosis of diabetes should be based on either plasma glucose or glycated hemoglobin (HbA We searched for articles of GA diabetes diagnostic accuracy that were published up to August 2021. Studies were selected if reported an oral glucose tolerance test as a reference test, measured GA levels by enzymatic methods, and had data necessary for 2 × 2 contingency tables. A bivariate model was used to calculate the pooled estimates. This meta-analysis included nine studies, totaling 10,007 individuals. Of those, 3,106 had diabetes. The studies showed substantial heterogeneity caused by a non-threshold effect and reported different GA optimal cut-offs for diagnosing diabetes. The pooled diagnostic odds ratio (DOR) was 15.93 and the area under the curve (AUC) was 0.844, indicating a good level of overall accuracy for the diagnosis of diabetes. The effect of the GA threshold on diagnostic accuracy was reported at 15.0% and 17.1%. The optimal cut-off for diagnosing diabetes with GA was estimated as 17.1% with a pooled sensitivity of 55.1% (95% CI 36.7%-72.2%) and specificity of 94.4% (95% CI 85.3%-97.9%). GA has good diabetes diagnostic accuracy. A GA threshold of 17.1% may be considered optimal for diagnosing diabetes in previously undiagnosed individuals.
Identifiants
pubmed: 35470641
pii: cclm-2022-0105
doi: 10.1515/cclm-2022-0105
doi:
Substances chimiques
Blood Glucose
0
Glycated Hemoglobin A
0
Glycation End Products, Advanced
0
Serum Albumin
0
Glycated Serum Albumin
0
Types de publication
Journal Article
Meta-Analysis
Review
Systematic Review
Langues
eng
Sous-ensembles de citation
IM
Pagination
961-974Informations de copyright
© 2022 Walter de Gruyter GmbH, Berlin/Boston.
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