Evidence map›Paper›PMID 37848879›Full record

ArticleCardiovascular diabetology2023

The triglyceride-glucose index is a predictor for cardiovascular and all-cause mortality in CVD patients with diabetes or pre-diabetes: evidence from NHANES 2001-2018.

Qin Zhang, Shucai Xiao, Xiaojuan Jiao, Yunfeng Shen

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Article in Cardiovascular diabetology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 348 papers, 1 of them a synthesis that pooled it.

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348citing papers in PubMed, 1 pooled it
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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

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3 · Its place in the literature

Who cites it

348 citing papers in PubMed, 1 synthesis or guideline pooled it.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Qin Zhang *Department of Metabolism and Endocrinology, The Second Affiliated Hospital of Nanchang University, Jiangxi, Nanchang, 330006, China.
Shucai Xiao *Department of Cardiovascular Medicine, The Second Affiliated Hospital of Nanchang University, Jiangxi, Nanchang, 330006, China.
Xiaojuan JiaoDepartment of Metabolism and Endocrinology, The Second Affiliated Hospital of Nanchang University, Jiangxi, Nanchang, 330006, China.
Yunfeng ShenDepartment of Metabolism and Endocrinology, The Second Affiliated Hospital of Nanchang University, Jiangxi, Nanchang, 330006, China. syf92@live.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe association between the triglyceride-glucose (TyG) index and mortality in cardiovascular disease (CVD) patients with diabetes or pre-diabetes remains unclear. This study aimed to investigate the relationship between baseline TyG index and all-cause and cardiovascular (CV) mortality in CVD patients with diabetes or pre-diabetes among American adults. .

methodsThis study enrolled 1072 CVD patients with diabetes or pre-diabetes from the National Health and Nutrition Examination Survey (2001-2018). Mortality outcomes were determined by linking to National Death Index (NDI) records up to December 31, 2019. Multivariate Cox proportional hazards models were constructed to analyze explore the associations between baseline TyG index and mortality. Non-linear correlations were explored using restricted cubic splines, and a two-piecewise Cox proportional hazards model for both sides of the inflection point was constructed.

resultsDuring 7541 person-years of follow-up, a total of 461 all-cause deaths and 154 CVD-related deaths were recorded. The restricted cubic splines revealed a U-shaped association between the baseline TyG index with all-cause and CVD mortality in CVD patients with diabetes or pre-diabetes. Specifically, baseline TyG index lower than the threshold values (TyG index < 9.05 in all-cause mortality and < 8.84 in CVD mortality) was negatively associated with mortality (HR 0.47, 95% CI = 0.27-0.81 for all-cause mortality and HR 0.25, 95% CI = 0.07-0.89 for CVD mortality). In contrast, baseline TyG index higher than the threshold values (TyG index > 9.05 in all-cause mortality and > 8.84 in CVD mortality) was positively associated with mortality (HR 1.42, 95% CI = 1.02-1.99 for all-cause mortality and HR 1.77, 95% CI = 1.08-2.91 for CVD mortality).

conclusionsA U-shaped association was observed between the baseline TyG index with CVD and all-cause mortality in CVD patients with diabetes or pre-diabetes in a American population. The thresholds of 8.84 and 9.05 for CVD and all-cause mortality, respectively.

Indexed as

Cardiovascular DiseasesDiabetes MellitusPrediabetic StateAdultBiomarkersBlood GlucoseGlucoseHumansNutrition SurveysRisk FactorsTriglyceridesBiomarkersBlood GlucoseGlucoseTriglyceridesCardiovascular DiseaseMortalityNHANESTriglyceride-glucose index

Identifiers

PMID37848879
PMCPMC10583314

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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 OpenQuestion graph.