Evidence map›Paper›PMID 39385084›Full record

ArticleBMC public health2024

Evaluating the impact of chronic kidney disease and the triglyceride-glucose index on cardiovascular disease: mediation analysis in the NHANES.

Heng Pei, Xin Su, Shouling Wu, Zhijun Wang

Abstract read
In one paragraph

Article in BMC public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 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

4 authors.

Heng Pei *Department of Cardiology, Affiliated Hospital of North China University of Science and Technology, No. 73 Jianshe South Road, Lubei District, Tangshan, 063000, China.
Xin Su *Department of Cardiology, Affiliated Hospital of North China University of Science and Technology, No. 73 Jianshe South Road, Lubei District, Tangshan, 063000, China.
Shouling WuDepartment of Cardiology, KaiLuan General Hospital, Tangshan, China.
Zhijun WangDepartment of Cardiology, Affiliated Hospital of North China University of Science and Technology, No. 73 Jianshe South Road, Lubei District, Tangshan, 063000, China. wzj300@163.com.

Funding

Research on the Relationship and Mechanisms Between ACE Gene Polymorphism and RAAS Levels, Platelet Activation, Inflammatory Response, and Anxiety/Depression in Individuals with Hypertension ZF2024198
6 · The paper itself

Abstract

backgroundThis study explores the intricate relationship between Chronic Kidney Disease (CKD), the Triglyceride-Glucose (TyG) index, and Cardiovascular Disease (CVD) in a U.S. adult population. It focuses on understanding how the TyG index, as a marker of insulin resistance, relates to cardiovascular risk in the presence of CKD.

methodsA cross-sectional analysis was conducted using data from the National Health and Nutrition Examination Survey (NHANES) spanning from 1999 to 2018. The study involved classifying stages of CKD, calculating the TyG index, and applying statistical analyses including logistic regression.

resultsThe investigation revealed that individuals with CKD, who comprised 49% males with an average age of 47 years, exhibited a higher incidence of CVD. The study demonstrated that before adjusting for the TyG index, the odds ratio (OR) for the association between CKD and CVD was 1.77. Importantly, the TyG index was found to mediate 10% of the association between CKD and CVD. Moreover, a significant synergistic interaction was observed between a high TyG index and CKD, with the combined presence of these conditions increasing the risk ratio for CVD to 3.01.

conclusionThe findings highlight the crucial role of insulin resistance in the link between CKD and CVD. The paper discusses the implications of chronic inflammation and endothelial dysfunction in CKD patients and the importance of the TyG index in assessing cardiovascular risk.

Indexed as

Blood GlucoseCardiovascular DiseasesInsulin ResistanceMediation AnalysisNutrition SurveysRenal Insufficiency, ChronicTriglyceridesAdultAgedBiomarkersCross-Sectional StudiesFemaleHumansMaleMiddle AgedRisk FactorsBiomarkersBlood GlucoseTriglyceridesCardiovascular diseaseChronic kidney diseaseNHANESTriglyceride-glucose index

Identifiers

PMID39385084
PMCPMC11462736

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.