Open Access<p>Glycosylated Hemoglobin A1c Improves the Performance of the Nomogram for Predicting the 5-Year Incidence of Type 2 Diabetes</p>
Author(s) -
Chunxiao Ma,
Fuliang Yin
Publication year - 2020
Publication title -
diabetes, metabolic syndrome and obesity
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.853
H-Index - 43
ISSN - 1178-7007
DOI - 10.2147/dmso.s252867
Subject(s) - nomogram , medicine , receiver operating characteristic , multivariate statistics , incidence (geometry) , area under the curve , proportional hazards model , type 2 diabetes , cohort , diabetes mellitus , statistics , mathematics , endocrinology , geometry
To develop and validate a model, which combines traditional risk factors and glycosylated hemoglobin A1c (HbA1c) for predicting the risk of type 2 diabetes (T2DM).