Evidence map›Paper›PMID 39469572›Full record

ArticleFrontiers in endocrinology2024

The associations of the triglyceride-glucose index and its combination with blood pressure on cardiovascular and all-cause mortality in hypertension: a national study.

Jun-Peng Xu, Xiong-Qiang Peng, Li-Heng Guo, Xu-Jie Zhao, Mao-Sheng Chen, Xiao-Yi Mai, Jia-Wei Tan, Quanfu Chen, Rui-Xiang Zeng, Min-Zhou Zhang

Abstract read
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Article in Frontiers in endocrinology, 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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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

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

10 authors.

Jun-Peng XuThe Second Clinical College of Guangzhou University of Chinese Medicine, Guangzhou, China.
Xiong-Qiang PengThe Second Clinical College of Guangzhou University of Chinese Medicine, Guangzhou, China.
Li-Heng GuoThe Second Clinical College of Guangzhou University of Chinese Medicine, Guangzhou, China.
Xu-Jie ZhaoThe Second Clinical College of Guangzhou University of Chinese Medicine, Guangzhou, China.
Mao-Sheng ChenThe Second Clinical College of Guangzhou University of Chinese Medicine, Guangzhou, China.
Xiao-Yi MaiThe Second Clinical College of Guangzhou University of Chinese Medicine, Guangzhou, China.
Jia-Wei TanThe Second Clinical College of Guangzhou University of Chinese Medicine, Guangzhou, China.
Quanfu ChenThe Second Clinical College of Guangzhou University of Chinese Medicine, Guangzhou, China.
Rui-Xiang ZengThe Second Clinical College of Guangzhou University of Chinese Medicine, Guangzhou, China.
Min-Zhou ZhangThe Second Clinical College of Guangzhou University of Chinese Medicine, Guangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The triglyceride-glucose (TyG) index, a reliable surrogate biomarker of insulin resistance (IR), is highlighted recently as related to cardiac disorders. However, the associations of the TyG index and its combination with blood pressure (BP) on cardiovascular and all-cause mortality in hypertension remain unclear. In this study, we included 9,635 hypertension patients from the National Health and Nutrition Examination Survey 1999-2018. During a median follow-up of 8.00 years, a total number of 853 and 2,489 in cardiovascular and all-cause deaths occurred, respectively. After full adjustments, the individual TyG index was positively associated with cardiovascular and all-cause mortality with J-shaped dose-response relationships. The lowest risk thresholds of the TyG index for cardiovascular and all-cause mortality were 9.5551 and 9.3405, respectively. In joint analyses, the highest risks of cardiovascular and all-cause mortality were observed among those with elevated levels of both BP and IR [1.64 (1.18, 2.28),

Indexed as

Blood GlucoseBlood PressureCardiovascular DiseasesHypertensionNutrition SurveysTriglyceridesAdultAgedBiomarkersCause of DeathFemaleFollow-Up StudiesHumansInsulin ResistanceMaleMiddle AgedBiomarkersBlood GlucoseTriglyceridesblood pressureinsulin resistancejoint analysesmortalitytriglyceride-glucose index

Identifiers

PMID39469572
PMCPMC11513261

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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.