Evidence mapPaperPMID 39015177Full record

ArticleFrontiers in endocrinology2024

Association between METS-IR and heart failure: a cross-sectional study.

Xiaozhou Su, Chunli Zhao, Xianwei Zhang

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Article in Frontiers in endocrinology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

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21citing papers in PubMed
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

21 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Xiaozhou SuDepartment of Cardiology, Minzu Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China.
Chunli ZhaoDepartment of Cardiology, Minzu Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China.
Xianwei ZhangDepartment of Cardiology, Minzu Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Prior research has indicated the importance of insulin resistance in the development of heart failure (HF). The metabolic score for insulin resistance (METS-IR), a novel measure for assessing insulin resistance, has been found to be associated with cardiovascular disease (CVD). Nevertheless, the relationship between METS-IR and heart failure remains uncertain. Methods: This cross-sectional study collected data from the 2007-2018 National Health and Nutrition Examination Survey (NHANES). Multivariable logistic regression analysis and smoothing curve fitting were performed to explore the relationship between METS-IR and the risk of heart failure. Subgroup analysis and receiver operating characteristic (ROC) curve analysis were also conducted. Results: A total of 14772 patients were included, of whom 485 (3.28%) had heart failure. We observed a significant positive association between METS-IR and the risk of heart failure in a fully adjusted model (per 1-unit increment in METS-IR: OR: 2.44; 95% CI: 1.38, 4.32). Subgroup analysis and interaction tests revealed no significant influence on this relationship. A saturation effect and nonlinear relationship between METS-IR and heart failure risk were found using a smoothing curve fitting analysis. The relationship was represented by a J-shaped curve with an inflection point at 40.966. Conclusions: The results of our study indicated a J-shaped association between METS-IR and HF in adults in the United States. METS-IR may be a promising novel index for predicting the risk of heart failure. More longitudinal studies are needed to further verify causal relationships and validate the results in different classifications of heart failure populations.

Indexed as

Heart FailureInsulin ResistanceMetabolic SyndromeNutrition SurveysAdultAgedCross-Sectional StudiesFemaleHumansMaleMiddle AgedRisk Factorscross-sectional studyheart failuremetabolic score for insulin resistanceNHANESnonlinear associations

Identifiers

PMID39015177
PMCPMC11249535

What Socratic holds

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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.