Evidence map›Paper›PMID 39707186›Full record

ArticleBMC cardiovascular disorders2024

Association between triglyceride-glucose index and cardiovascular disease in US adults with chronic kidney disease: a population-based study.

Lijia Liu, Hui Sun, Lan Yi, Gang Wang, Yanqin Zou

Abstract read
In one paragraph

Article in BMC cardiovascular disorders, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
–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, 1 synthesis or guideline pooled it.

  1. Pooled it
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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.

Lijia Liu *Department of Nephrology, Jiangsu Province Hospital of Chinese Medicine, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, Jiangsu, China.
Hui Sun *Department of Nephrology, Jiangsu Province Hospital of Chinese Medicine, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, Jiangsu, China.
Lan Yi *Department of Nephrology, Jiangsu Province Hospital of Chinese Medicine, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, Jiangsu, China.
Gang WangZou's Nephrology Medicine Intangible Cultural Heritage Inheritance Studio, Nanjing Boda Nephrology Hospital, Nanjing, Jiangsu, China.
Yanqin ZouDepartment of Nephrology, Jiangsu Province Hospital of Chinese Medicine, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, Jiangsu, China. fsyy00650@njucm.edu.cn.

Funding

Academic Inheritance and Communication Project of the China Academy of Chinese Medical Sciences CI2022E021XBJiangsu Province Hospital of Chinese Medicine Department Director Academic Promotion Fund Y2022ZR02Postgraduate Research & Practice Innovation Program of Jiangsu Province SJCX24_0933
6 · The paper itself

Abstract

objectivesTriglyceride-glucose (TyG) index, which is a valuable measure of insulin resistance, has been found to have predictive value for cardiovascular disease (CVD). However, its relationship with CVD among individuals with chronic kidney disease (CKD) has not been thoroughly investigated. This study focused on examining the relationship of the TyG index and CVD among CKD patients in United States.

methods3507 eligible participants from the National Health and Nutrition Examination Survey (2003-2018) were surveyed in this study. Methods such as multivariable logistic regression analysis and smooth curve fitting were employed to estimate how the TyG index is linked to CVD in CKD populations. Subgroup and interaction analyses were conducted in order to figure out potential moderating effects of various factors.

resultsIn this cross-sectional study which based on a population with CKD, 29.5% of patients also had CVD. An independent and positive link of TyG and CVD was revealed (OR 1.213, 95% CI 1.059, 1.389). This association was nonlinear, with a threshold effect observed at a TyG index of 8.98. The results of subgroup analysis suggested that the relationships of TyG and CVD differed according to CKD stage: (OR 1.048, 95% CI 0.857, 1.282) in CKD stages 1-2; (OR 1.267, 95% CI 1.030-1.560) in stage 3; and (OR 2.131, 95% CI 1.224-3.709) in stages 4-5. Interaction analyses further suggested the potential moderating effects of CKD stage. Additionally, among specific CVD types, only coronary heart disease (CHD) had a significant and positive relationship with TyG (OR 1.617, 95% CI 1.123, 2.327).

conclusionsTyG index was identified to be independently and positively related to the likelihood of CVD, specifically in populations with an eGFR < 60 mL/min/1.73 m². The association had a threshold effect. The results highlight the potential of the TyG index as a tool for screening and risk assessment of CVD in populations suffering from CKD, warranting further investigation.

Indexed as

BiomarkersBlood GlucoseCardiovascular DiseasesNutrition SurveysRenal Insufficiency, ChronicTriglyceridesAdultAgedCross-Sectional StudiesFemaleHumansInsulin ResistanceMaleMiddle AgedPredictive Value of TestsPrognosisBiomarkersBlood GlucoseTriglyceridesCardio-kidney-metabolic syndromeCardiovascular diseaseChronic kidney diseaseInsulin resistanceNHANESTriglyceride-glucose index

Identifiers

PMID39707186
PMCPMC11661009

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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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.