Optimal threshold of homeostasis model assessment for insulin resistance in an Iranian population: the implication of metabolic syndrome to detect insulin resistance

A Esteghamati, H Ashraf, AR Esteghamati… - Diabetes research and …, 2009 - Elsevier
We assessed the threshold of homeostasis model assessment (HOMA) values to determine
insulin resistance (IR) in a sample of Iranians and examined the associations of IR with …

Association between MetS-IR and prediabetes risk and sex differences: a cohort study based on the Chinese population

Q Xie, M Kuang, S Lu, X Huang, C Wang… - Frontiers in …, 2023 - frontiersin.org
Objective The metabolic score for insulin resistance (MetS-IR) is an emerging surrogate
marker for insulin resistance (IR). This study aimed to investigate the association and sex …

Predictive models for diabetes mellitus using machine learning techniques

H Lai, H Huang, K Keshavjee, A Guergachi… - BMC endocrine …, 2019 - Springer
Abstract Background Diabetes Mellitus is an increasingly prevalent chronic disease
characterized by the body's inability to metabolize glucose. The objective of this study was to …

Correlation of Insulin Resistance and impaired glucose metabolism in Tehranian adults: Tehran Lipid and Glucose Study

M Salami, F Hosseinpanah, F Azizi - Iranian Journal of …, 2006 - ijem.sbmu.ac.ir
Introduction: Insulin resistance and undersecretion play major roles in the pathogenisis
mechanism of diabetes mellitus. This study evaluates the correlation between insulin …

The Finnish Diabetes Risk Score is associated with insulin resistance and progression towards type 2 diabetes

PEH Schwarz, J Li, M Reimann… - The Journal of …, 2009 - academic.oup.com
Abstract Objective: The Finnish Diabetes Risk Score (FINDRISC) questionnaire is a practical
screening tool to estimate the diabetes risk and the probability of asymptomatic type 2 …

Comparative evaluation of simple indices of insulin resistance

O Vaccaro, M Masulli, V Cuomo, AA Rivellese… - Metabolism, 2004 - Elsevier
Various surrogate methods for the quantification of insulin sensitivity have been proposed. A
comparative evaluation is lacking and is relevant for the standardization of investigative …

Predicting Diabetes in Patients with Metabolic Syndrome Using Machine-Learning Model Based on Multiple Years' Data

J Li, Z Xu, T Xu, S Lin - Diabetes, Metabolic Syndrome and Obesity …, 2022 - Taylor & Francis
Purpose To evaluate the performance of machine-learning models based on multiple years
of continuous data to predict incident diabetes among patients with metabolic syndrome …

A simple and improved predictor of insulin resistance extracted from the oral glucose tolerance test: the I0* G60

PH Contreras, AM Salgado, YA Bernal… - Journal of the …, 2019 - academic.oup.com
Objective To evaluate the diagnostic performance of several biochemical predictors of
insulin resistance (IR). Design A total of 90 nondiabetic subjects were tested with both the …

Use of anthropometric measures to predict insulin resistance.

AG MT, PD MÁ - Endocrinologia y Nutricion: Organo de la …, 2008 - europepmc.org
Objective Obesity is closely related to insulin-resistance (IR) but it is evaluated differently in
the diverse definitions of the metabolic syndrome. The objective of this study was to verify …

Use of non-invasive parameters and machine-learning algorithms for predicting future risk of type 2 diabetes: a retrospective cohort study of health data from Kuwait

B Farran, R AlWotayan, H Alkandari… - Frontiers in …, 2019 - frontiersin.org
Objective: In recent decades, the Arab population has experienced an increase in the
prevalence of type 2 diabetes (T2DM), particularly within the Gulf Cooperation Council. In …