Evidence map›Paper›PMID 39830199›Full record

ArticleFrontiers in neurology2024

Association between metabolic score for insulin resistance and stroke: a nationally representative cross-sectional study from NHANES 2007-2018.

Lingtian Weng, Yuqiu Lu, Hanning Song, Jiayi Xu, Xuhong Jiang

Abstract read
In one paragraph

Article in Frontiers in neurology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Lingtian WengThe First School of Clinical Medicine, Zhejiang Chinese Medical University, Hangzhou, Zhejiang Province, China.
Yuqiu LuThe Second School of Clinical Medicine, Zhejiang Chinese Medical University, Hangzhou, Zhejiang Province, China.
Hanning SongThe First School of Clinical Medicine, Zhejiang Chinese Medical University, Hangzhou, Zhejiang Province, China.
Jiayi XuThe First School of Clinical Medicine, Zhejiang Chinese Medical University, Hangzhou, Zhejiang Province, China.
Xuhong JiangThe First School of Clinical Medicine, Zhejiang Chinese Medical University, Hangzhou, Zhejiang Province, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Stroke is a significant cerebrovascular disease and remains one of the leading causes of death and disability worldwide. Insulin resistance has been strongly linked to the incidence of stroke. Employing characteristics of metabolic syndrome, the Metabolic Score for Insulin Resistance (METS-IR) accurately measures insulin resistance. Nonetheless, the relationship between METS-IR and stroke risk is not well-established. Methods: We analyzed data from the National Health and Nutrition Examination Survey (NHANES) covering the years 2007-2018. Participants providing complete METS-IR data and self-reported stroke information were included in the study. We utilized weighted multivariate regression to explore the relationship between METS-IR and stroke, performing subgroup analyses as well. Results: A total of 14,794 participants were included, with an average METS-IR of 43.44 ± 12.68. The overall prevalence of self-reported stroke was 3.79%, with higher rates observed in upper METS-IR tertiles. An increase of one unit in METS-IR was associated with a 1% increase in stroke risk (OR = 1.01; 95% CI: 1.01-1.02). Interaction tests indicated no significant effects of gender, smoking status, alcohol consumption, hypertension, diabetes, physical activity, or serum cholesterol levels on this relationship. Notably, for participants younger than 60 years, the association was significantly stronger (OR = 1.02; 95% CI: 1.01-1.03), with a marked interaction ( Conclusion: Our findings indicate a positive correlation between higher METS-IR and increased stroke risk. Early intervention targeting insulin resistance may be a viable preventive measure against stroke, particularly in individuals under 60 years of age.

Indexed as

cross-sectional studyinsulin resistancemetabolic syndromeNHANESstroke

Identifiers

PMID39830199
PMCPMC11738916

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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 OpenQuestion graph.