2026-10-12T17:11:02Z https://api.figshare.com/v2/oai

oai:figshare.com:article/33957136 2026-09-21T17:40:35Z category_13 category_14 category_15 category_21 category_64 portal_5 item_type_3 month_year_09_2026

<p>Multivariable logistic regression analysis of the joint association of METS-IR and UA with prevalent thyroid nodules.</p> Jiahui Ding (5218217) Xiaojin Hu (22898452) Meiling Sun (1611271) Shanshan Ge (12446244) Genetics Molecular Biology Neuroscience Biotechnology Cancer support positive synergy shanxi medical university restricted cubic spline health management center fully adjusted models estimated proportions mediated prevalent thyroid nodules exploratory mediation analysis joint classification analysis interaction analyses indicated although interaction analyses multivariable logistic regression 753 – 5 001 ); however related indirect associations submultiplicative joint association highest adjusted odds nonlinearity ≤ 0 concurrently elevated mets significant indirect associations tirads 4 nodules highest observed odds xlink "> mets thyroid nodules interaction analyses xlink "> indirect association joint association statistical interaction overall analysis case analysis tirads category tirads categories overall association higher odds highest quartiles uric acid sectional study metabolic score lowest quartile january 25 january 2018 insulin resistance <p>Multivariable logistic regression analysis of the joint association of METS-IR and UA with prevalent thyroid nodules.</p> 2026-09-21T17:40:24Z Dataset Dataset 10.1371/journal.pone.0358879.t004 https://figshare.com/articles/dataset/_p_Multivariable_logistic_regression_analysis_of_the_joint_association_of_METS-IR_and_UA_with_prevalent_thyroid_nodules_p_/33957136 CC BY 4.0