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. 2022 Oct 29;12(11):1040. doi: 10.3390/metabo12111040

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© 2022 by the authors.

Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).

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The logistic regression analysis for GDM risk prediction model. (A) Lasso-logistic graph. (B) Cross-validation of lasso-logistic regression results. (C) Nomogram to predict the probability of developing GDM at the first trimester among pregnant women. The total score calculated by summing the scores of FBG stratification, GWG at the first trimester, the positive status of thyroid antibodies, acceptance for ART treatment, pre-BMI stratification, T2DM family history, and age stratification.