Evidence mapPaperPMID 39169399Full record

ArticleLipids in health and disease2024

Independent risk factors of left ventricular hypertrophy in non-diabetic individuals in Sierra Leone - a cross-sectional study.

Yuanxin Xu, Yingxin Celia Jiang, Lihua Xu, Weiyu Zhou, Zhiying Zhang, Yanfei Qi, Hongyu Kuang, Shuang Yan

Abstract read
In one paragraph

Article in Lipids in health and disease, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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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

1 citing paper in PubMed.

  1. Article
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

8 authors.

Yuanxin Xu *Department of Endocrine and Metabolic Diseases, Fourth Affiliated Hospital of Harbin Medical University, Harbin, 150001, China.
Yingxin Celia Jiang *Centenary Institute of Cancer Medicine and Cell biology, The University of Sydney, Sydney, NSW, 2050, Australia.
Lihua XuFaculty of health and medicine, Sanya University, Sanya, 572000, China.
Weiyu ZhouDepartment of Endocrine and Metabolic Diseases, Fourth Affiliated Hospital of Harbin Medical University, Harbin, 150001, China.
Zhiying ZhangDepartment of Endocrine and Metabolic Diseases, Fourth Affiliated Hospital of Harbin Medical University, Harbin, 150001, China.
Yanfei QiCentenary Institute of Cancer Medicine and Cell biology, The University of Sydney, Sydney, NSW, 2050, Australia.
Hongyu KuangDepartment of Endocrinology, First Affiliated Hospital of Harbin Medical University, Harbin, 150001, China. ydyneifenmi@163.com.
Shuang YanDepartment of Endocrine and Metabolic Diseases, Fourth Affiliated Hospital of Harbin Medical University, Harbin, 150001, China. qingmei0724@163.com.

Funding

Health Commission Science and Technology Plan of Heilongjiang Province 20230303060318
6 · The paper itself

Abstract

backgroundLeft ventricular hypertrophy (LVH) is a critical factor in heart failure and cardiovascular event-related mortality. While the prevalence of LVH in diabetic patients is well-documented, its occurrence and risk factors in non-diabetic populations remain largely unexplored. This study addresses this issue by investigating the independent risk factors of LVH in non-diabetic individuals.

methodsThis cross-sectional study, conducted meticulously, utilized data from a robust and comprehensive source, DATADRYAD, in the Sierra Leone database, collected between October 2019 and October 2021, including LVH and various variables. All variables were described and screened using univariate analysis, Spearman correlation, and principal component analysis (PCA). The lipid profile, including total cholesterols (TC), triglycerides (TG), high-density lipoprotein (HDL-C), non-high-density lipoprotein (Non-HDL-C), and low-density lipoprotein cholesterol (LDL-C), TC/HDL-C ratio, TG/HDL-C ratio, Non-HDL-C /HDL-C ratio and LDL-C/HDL-C ratio, which quartiles were treated as categorical variables, with the lowest quartile serving as the reference category. Three adjusted models were constructed to mitigate the influence of other variables. To ensure the robustness of the model, receiver operating characteristic (ROC) curves were used to calculate the cutoff values by analyzing the ROC curves. A sensitivity analysis was performed to validate the findings further.

resultsThe dataset encompasses information from 2092 individuals. After adjusting for potential factors that could influence the results, we found that TC (OR = 2.773, 95%CI: 1.805-4.26), Non-HDL-C (OR = 2.74, 95%CI: 1.7723-4.236), TC/HDL-C ratio (OR = 2.237, 95%CI: 1.445-3.463), Non-HDL-C/HDL-C ratio (OR = 2.357, 95%CI: 1.548-3.588), TG/HDL-C ratio (OR = 1.513, 95%CI: 1.02-2.245) acts as independent risk factors of LVH. ROC curve analysis revealed the predictive ability of blood lipids for LVH, with Non-HDL-C exhibiting area under the curve (AUC = 0.6109), followed by TC (AUC = 0.6084).

conclusionsTC, non-HDL-C, TC/HDL-C ratio, Non-HDL-C/HDL-C ratio, and TG/HDL-C ratio were independent risk factors of LVH in non-diabetic people. Non-HDL-C and TC were found to be essential indicators for predicting the prevalence of LVH.

Indexed as

Cholesterol, HDLHypertrophy, Left VentricularTriglyceridesAdultAgedCholesterol, LDLCross-Sectional StudiesFemaleHumansMaleMiddle AgedRisk FactorsROC CurveSierra LeoneCholesterol, HDLCholesterol, LDLTriglyceridesLeft ventricular hypertrophyLeft ventricular mass indexLipid profileNon-diabetic

Identifiers

PMID39169399
PMCPMC11337744

What Socratic holds

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LicenceCC BY-NC-ND
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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.