Evidence map›Paper›PMID 38811950›Full record

ArticleCardiovascular diabetology2024

Correlation between the triglyceride-glucose index and left ventricular global longitudinal strain in patients with chronic heart failure: a cross-sectional study.

Shuai Zhang, Yan Liu, Fangfang Liu, Qing Ye, Dachuan Guo, Panpan Xu, Tianhao Wei, Cheng Zhang, Huixia Lu

Abstract read
In one paragraph

Article in Cardiovascular diabetology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

The trial behind it

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3 · Its place in the literature

Who cites it

6 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

9 authors.

Shuai Zhang *State Key Laboratory for Innovation and Transformation of Luobing Theory, Jinan, China.
Yan Liu *State Key Laboratory for Innovation and Transformation of Luobing Theory, Jinan, China.
Fangfang LiuState Key Laboratory for Innovation and Transformation of Luobing Theory, Jinan, China.
Qing YeState Key Laboratory for Innovation and Transformation of Luobing Theory, Jinan, China.
Dachuan GuoState Key Laboratory for Innovation and Transformation of Luobing Theory, Jinan, China.
Panpan XuState Key Laboratory for Innovation and Transformation of Luobing Theory, Jinan, China.
Tianhao WeiState Key Laboratory for Innovation and Transformation of Luobing Theory, Jinan, China.
Cheng ZhangState Key Laboratory for Innovation and Transformation of Luobing Theory, Jinan, China. zhangc@sdu.edu.cn.
Huixia LuState Key Laboratory for Innovation and Transformation of Luobing Theory, Jinan, China. luhuixia@sdu.edu.cn.

Funding

the National Key Research and Development Program of China 2021YFF0501403
6 · The paper itself

Abstract

backgroundLeft ventricular global longitudinal strain (GLS) holds greater diagnostic and prognostic value than left ventricular ejection fraction (LVEF) in the heart failure (HF) patients. The triglyceride-glucose (TyG) index serves as a reliable surrogate for insulin resistance (IR) and is strongly associated with several adverse cardiovascular events. However, there remains a research gap concerning the correlation between the TyG index and GLS among patients with chronic heart failure (CHF).

method427 CHF patients were included in the final analysis. Patient demographic information, along with laboratory tests such as blood glucose, lipids profiles, and echocardiographic data were collected. The TyG index was calculated as Ln [fasting triglyceride (TG) (mg/dL) × fasting plasma glucose (FPG) (mg/dL)/2].

resultsAmong CHF patients, GLS was notably lower in the higher TyG index group compared to the lower TyG index group. Following adjustment for confounding factors, GLS demonstrated gradual decrease with increasing TyG index, regardless of the LVEF level and CHF classification.

conclusionElevated TyG index may be independently associated with more severe clinical left ventricular dysfunction in patients with CHF.

Indexed as

BiomarkersBlood GlucoseHeart FailureTriglyceridesVentricular Dysfunction, LeftVentricular Function, LeftAgedChronic DiseaseCross-Sectional StudiesFemaleGlobal Longitudinal StrainHumansInsulin ResistanceMaleMiddle AgedPredictive Value of TestsBiomarkersBlood GlucoseTriglyceridesChronic heart failureGlobal longitudinal strainTriglyceride-glucose index

Identifiers

PMID38811950
PMCPMC11137911

What Socratic holds

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LicenceCC BY
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Registered trials

None linked

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.