Evidence map›Paper›PMID 39157065›Full record

ArticleFrontiers in neurology2024

Optimal cut-off values of visceral fat area for predicting metabolic syndrome among patients with ischemic stroke: a cross-sectional study.

Xueyan Lu, Jing Wang, Huijie Sun, Dandan Liu, Xiuli Yan, Zhuo Liu

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. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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3 · Its place in the literature

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Xueyan Lu *Reproductive Medical Center, Tangdu Hospital, The Fourth Military Medical University, Xi'an, China.
Jing Wang *School of Nursing, Xi'an Siyuan University, Xi'an, China.
Huijie SunCadre Ward, The First Hospital of Jilin University, Changchun, China.
Dandan LiuPhysical Examination Center, The First Hospital of Jilin University, Changchun, China.
Xiuli YanDepartment of Neurology, The First Hospital of Jilin University, Changchun, China.
Zhuo LiuDepartment of Neurology, The First Hospital of Jilin University, Changchun, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: The prevalence of metabolic syndrome (MetS) among patients with ischemic stroke is relatively high. The visceral fat area (VFA) is a predictor of MetS. This study aimed to estimate sex-specific optimal cut-off values of VFA and MetS risk factors among patients with ischemic stroke. Methods: A cross-sectional study including 851 patients with ischemic stroke was conducted between March 2019 and January 2020 in a tertiary hospital in the northeast of China. VFA was measured using the dual bioelectrical impedance method. Binary logistic regression analysis was used to investigate MetS risk factors, and the VFA cut-off value was assessed using receiver operating characteristic curve analysis. Results: The overall prevalence of MetS was 43.4%. After adjusting for potential confounders, female sex (odds ratio [OR] = 2.86, Conclusion: MetS affected approximately a half of patients with ischemic stroke. Female sex, visceral obesity, and body mass index were independent risk factors for the development of MetS. Sex-specific reference values for VFA are proposed for the prediction of incident MetS in patients with ischemic stroke.

Indexed as

abdominal obesitycut-off valueischemic strokemetabolic syndromevisceral fat area

Identifiers

PMID39157065
PMCPMC11327094

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