Effect of homeostasis model assessment computational method on the definition and associations of insulin resistance

OA Mojiminiyi, NA Abdella - Clinical chemistry and laboratory …, 2010 - degruyter.com
Background: Homeostasis model assessment (HOMA) is a surrogate index widely used to
study the role of insulin sensitivity or resistance in associated disease states. However …

Understanding prediabetes in a medicare advantage population using data adaptive techniques

PS Kamble, J Collins, RA Harvey, T Prewitt… - Population Health …, 2018 - liebertpub.com
The objective was to identify individuals with undiagnosed prediabetes from administrative
data using adaptive techniques. The data source was a national Medicare Advantage …

Insulin resistance and cardiometabolic risk profile among nondiabetic American young adults: insights from NHANES

V Parcha, B Heindl, R Kalra, P Li… - The Journal of …, 2022 - academic.oup.com
Background The burden of insulin resistance (IR) among young American adults has not
been previously assessed. We evaluated (1) the prevalence and trends of IR and …

Associations between the metabolic score for insulin resistance index and the risk of type 2 diabetes mellitus among non-obese adults: insights from a population …

XT Cai, Q Zhu, SS Liu, MR Wang, T Wu… - … journal of general …, 2021 - Taylor & Francis
Purpose The metabolic score for insulin resistance (METS-IR) index is an emerging
surrogate predictor of type 2 diabetes mellitus (T2DM). This study aimed to evaluate the …

HOMA and Matsuda indices of insulin sensitivity: poor correlation with minimal model-based estimates of insulin sensitivity in longitudinal settings

AH Xiang, RM Watanabe, TA Buchanan - Diabetologia, 2014 - Springer
Aims/hypothesis Little is known about the performance of surrogates in assessing changes
in insulin sensitivity over time. This report compared updated HOMA of insulin sensitivity …

Biomarker models as surrogates for the disposition index in the Insulin Resistance Atherosclerosis Study

SM Watkins, MW Rowe, JA Kolberg… - Diabetic …, 2012 - Wiley Online Library
Aims Insulin sensitivity and acute insulin response measure key components of Type 2
diabetes aetiology that contribute independently to risk in the Insulin Resistance …

Opening the black box: interpretable machine learning for predictor finding of metabolic syndrome

Y Zhang, X Zhang, J Razbek, D Li, W Xia, L Bao… - BMC Endocrine …, 2022 - Springer
Objective The internal workings ofmachine learning algorithms are complex and considered
as low-interpretation" black box" models, making it difficult for domain experts to understand …

Predicting diabetes: clinical, biological, and genetic approaches: data from the Epidemiological Study on the Insulin Resistance Syndrome (DESIR)

B Balkau, C Lange, L Fezeu, J Tichet… - Diabetes …, 2008 - Am Diabetes Assoc
OBJECTIVE—To provide a simple clinical diabetes risk score and to identify characteristics
that predict later diabetes using variables available in the clinic setting as well as biological …

[HTML][HTML] New risk score model for identifying individuals at risk for diabetes in southwest China

L Li, Z Wang, M Zhang, H Ruan, L Zhou, X Wei… - Preventive Medicine …, 2021 - Elsevier
The prevalence of diabetes is increasing rapidly and becoming a major public health issue
worldwide. We aimed to develop a novel nomogram model for long-term diabetic risk …

Nomogram based on risk factors for type 2 diabetes mellitus patients with coronary heart disease

R Shi, B Wu, Z Niu, H Sun, F Hu - Diabetes, Metabolic Syndrome …, 2020 - Taylor & Francis
Introduction This study aimed to study risk factors for coronary heart disease (CHD) in type 2
diabetes mellitus (T2DM) patients and establish a clinical prediction model. Research …