Using anthropometric parameters to predict insulin resistance among patients without diabetes mellitus
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Publisher
Springer Science and Business Media LLC
Link
https://www.nature.com/articles/s41598-024-57020-2.pdf
Reference31 articles.
1. Gastaldelli, A. Measuring and estimating insulin resistance in clinical and research settings. Obesity (Silver Spring, Md) 30, 1549–1563. https://doi.org/10.1002/oby.23503 (2022).
2. Zhao, X. et al. The crucial role and mechanism of insulin resistance in metabolic disease. Front Endocrinol (Lausanne) 14, 1149239, https://doi.org/10.3389/fendo.2023.1149239 (2023).
3. Tsai, S.-F., Yang, C.-T., Liu, W.-J. & Lee, C.-L. Development and validation of an insulin resistance model for a population without diabetes mellitus and its clinical implication: a prospective cohort study. EClinicalMedicine 58, 101934. https://doi.org/10.1016/j.eclinm.2023.101934 (2023).
4. Colagiuri, S., Cull, C. A. & Holman, R. R. Are lower fasting plasma glucose levels at diagnosis of type 2 diabetes associated with improved outcomes?: UK prospective diabetes study 61. Diabetes Care 25, 1410–1417 (2002).
5. DeFronzo, R. A., Tobin, J. D. & Andres, R. Glucose clamp technique: a method for quantifying insulin secretion and resistance. Am. J. Physiol. 237, E214–E223 (1979).
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