Evidence mapPaperPMID 40660147Full record

ArticleBMC endocrine disorders2025

Non-linear association between metabolic score for insulin resistance and nonalcoholic fatty liver disease: analysis of US National health and nutrition examination survey data, 2017-2020.

Shanshan Wang, Ping Li, Zhenhong Guo, Xiaojuan Rao

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Article in BMC endocrine disorders, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Shanshan WangDepartment of Endocrinology, The Fifth Affiliated Hospital of Zhengzhou University, Zhengzhou, 450000, Henan Province, China.
Ping LiDepartment of Endocrinology, The Fifth Affiliated Hospital of Zhengzhou University, Zhengzhou, 450000, Henan Province, China.
Zhenhong GuoDepartment of Endocrinology, The Fifth Affiliated Hospital of Zhengzhou University, Zhengzhou, 450000, Henan Province, China.
Xiaojuan RaoDepartment of Endocrinology, The Fifth Affiliated Hospital of Zhengzhou University, Zhengzhou, 450000, Henan Province, China. candy.rao@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAlthough the metabolic score for insulin resistance (METS-IR) is significantly associated with metabolic disorders, its dose-response relationship with nonalcoholic fatty liver disease (NAFLD) remains inconclusive. This study aimed to investigate the dose-response relationship between the metabolic score for insulin resistance and NAFLD, and to identify its inflection point.

methodsThis cross-sectional study evaluated the association between METS-IR and NAFLD using multivariable logistic regression applied to data from the 2017-2020 US National Health and Nutrition Examination Survey. Non-linear dynamics were investigated through smoothing spline models and segmented regression. Subgroup comparisons were performed, and diagnostic accuracy was assessed using interaction tests and receiver operating characteristic (ROC) analysis.

resultsAmong 2,486 eligible participants, 804 (32.34%) were diagnosed with NAFLD. Adjusted regression models revealed a 7% increase in NAFLD likelihood per unit rise in METS-IR (odds ratio [OR] = 1.07, 95% confidence interval [CI]: 1.04-1.10; P < 0.001). Non-linear modeling identified a saturation effect with an inflection point at 46.73 units. Subgroup stratification demonstrated consistent associations across demographic categories (P > 0.05). The diagnostic performance analysis yielded an area under the curve value of 0.861 in the fully adjusted models.

conclusionsThe results of this study confirmed a non-linear dose-response association between METS-IR and NAFLD. Determining the METS-IR may enhance the identification of early-stage NAFLD in clinical and public health settings.

Indexed as

Insulin ResistanceMetabolic SyndromeNon-alcoholic Fatty Liver DiseaseAdultAgedCross-Sectional StudiesFemaleFollow-Up StudiesHumansMaleMiddle AgedNonlinear DynamicsNutrition SurveysPrognosisRisk FactorsUnited StatesCross-sectional studyMetabolic score for insulin resistanceNonalcoholic fatty liver diseaseNon-linear relationshipUS National health and nutrition examination survey

Identifiers

PMID40660147
PMCPMC12257790

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.