Evidence mapPaperPMID 39985010Full record

ArticleLipids in health and disease2025

Association between metabolic score for insulin resistance (METS-IR) and hypertension: a cross-sectional study based on NHANES 2007-2018.

Zhen Guo, Xia Guo, Hanchi Xu, Haoxuan Chu, Yulin Tian, Shipeng Wang, Yushi Wang

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Article in Lipids in health and disease, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.

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23citing papers in PubMed, 1 pooled it
field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

23 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  4. Mechanistic insights into natural product-driven modulation of NLRP3-inflammasome signalling in metabolic syndrome.Inflammation research : official journal of the European Histamine Research Society ... [et al.] · 2026
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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Zhen Guo *Department of Cardiovascular Medicine, The First Hospital of Jilin University, Changchun, 130021, China.
Xia Guo *Department of Cardiovascular Medicine, The First Hospital of Jilin University, Changchun, 130021, China.
Hanchi XuDepartment of Cardiovascular Medicine, The First Hospital of Jilin University, Changchun, 130021, China.
Haoxuan ChuDepartment of Cardiovascular Medicine, The First Hospital of Jilin University, Changchun, 130021, China.
Yulin TianDepartment of Cardiovascular Medicine, The First Hospital of Jilin University, Changchun, 130021, China.
Shipeng WangDepartment of Cardiovascular Medicine, The First Hospital of Jilin University, Changchun, 130021, China.
Yushi WangDepartment of Cardiovascular Medicine, The First Hospital of Jilin University, Changchun, 130021, China. yushi@jlu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundInsulin resistance (IR) reduces insulin efficacy and heightens the danger of cardiovascular diseases including hypertension. The Metabolic Score for Insulin Resistance (METS-IR), which is based on triglyceride (TG) and high-density lipoprotein cholesterol (HDL-C), body mass index (BMI), and fasting glucose levels, provides a simpler way to assess IR. As the hypertension's prevalence increases, particularly in those with metabolic disorders, exploring the relationship between hypertension and METS-IR has become crucial.

methods16,310 individuals from the 2007-2018 National Health and Nutrition Examination Survey dataset was included. Hypertension was defined by asking participants about their medical history and blood pressure measurements. METS-IR was calculated as follows: ln([ HDL-C (mg/dL)] × [2 × fasting glucose (mg/dL)] + TG (mg/dL) × BMI (kg/m

resultsThis research demonstrated a significant positive relationship between hypertension and METS-IR. Each 1-unit rise in METS-IR corresponds to a 3% higher chance of hypertension (odds ratio [OR], 1.03; 95% confidence interval [CI], 1.03-1.04). In model 3, METS-IR exhibited a notable correlation with hypertension (OR, 3.31; 95% CI, 2.64-4.14; P < 0.001). A threshold effect analysis demonstrated a nonlinear association. Finally, subgroup analyses supported the stability of the relationship between METS-IR and factors such as sex, race, alcohol consumption, CHD, smoking, and stroke (P > 0.05).

conclusionsMETS-IR showed a strong relationship with hypertension and may be an important marker for evaluating metabolic health and the early hypertension danger.

Indexed as

HypertensionInsulin ResistanceMetabolic SyndromeAdultAgedBlood GlucoseBody Mass IndexCholesterol, HDLCholesterol, LDLCross-Sectional StudiesFemaleHumansMaleMiddle AgedNutrition SurveysRisk FactorsBlood GlucoseCholesterol, HDLCholesterol, LDLTriglyceridesCross-sectional studyHDL-CHypertensionMETS-IRNHANES

Identifiers

PMID39985010
PMCPMC11843973

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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.