Evidence map›Paper›PMID 37168658›Full record

ArticleFrontiers in cardiovascular medicine2023

Associations between TyG-BMI and normal-high blood pressure values and hypertension: cross-sectional evidence from a non-diabetic population.

Nan Peng, Maobin Kuang, Yi Peng, Hang Yu, Shuhua Zhang, Guobo Xie, Guotai Sheng, Yang Zou

Open access · goldAbstract read
In one paragraph

Article in Frontiers in cardiovascular medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
5.3field-weighted citation impact, top 3% of its field
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

17 citing papers in PubMed, 1 synthesis or guideline pooled it, 24 citations in OpenAlex.

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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

8 authors at 3 institutions in 1 country.

Nan Peng *Department of Cardiology, Jiangxi Provincial People's Hospital, Medical College of Nanchang University, Nanchang, China.
Maobin Kuang *Department of Cardiology, Jiangxi Provincial People's Hospital, Medical College of Nanchang University, Nanchang, China.
Yi Peng *Department of Cardiology, Jiangxi Provincial People's Hospital, Medical College of Nanchang University, Nanchang, China.
Hang YuDepartment of Emergency, Guangfeng District People's Hospital, Shangrao, China.
Shuhua ZhangJiangxi Cardiovascular Research Institute, Jiangxi Provincial People's Hospital, The First Affiliated Hospital of Nanchang Medical College, Nanchang, China.
Guobo XieDepartment of Cardiology, Jiangxi Provincial People's Hospital, Medical College of Nanchang University, Nanchang, China.
Guotai ShengDepartment of Cardiology, Jiangxi Provincial People's Hospital, Medical College of Nanchang University, Nanchang, China.
Yang ZouJiangxi Cardiovascular Research Institute, Jiangxi Provincial People's Hospital, The First Affiliated Hospital of Nanchang Medical College, Nanchang, China.
Jiangxi Provincial People's Hospital · CNFirst Affiliated Hospital of Jiangxi Medical College · CNNanchang University · CN

Funding

Differential Effects of Exercise Modality on Cognition and Brain in Older AdultsR01AG070036 · NIA · UNIVERSITY OF KANSAS MEDICAL CENTER · PI SZABO-REED, AMANDA N., VIDONI, ERIC DENNIS · 2021 to 2025
$6.9M
NIA NIH HHS R01 AG070036
6 · The paper itself

Abstract

Objective: Triglyceride glucose body mass index (TyG-BMI) has been shown to be strongly associated with a variety of chronic diseases. However, little is known about the associations between TyG-BMI and normal-high blood pressure (BP) values and hypertension (HTN). Method: The current study was cross-sectional in design and included 15,464 non-diabetic participants recruited between 1994 and 2016 in the NAGALA (NAfld in the Gifu Area, Longitudinal Analysis) study. Associations between TyG-BMI and normal-high BP values and HTN were assessed using multivariate logistic regression. The ability of the TyG index, BMI, and their combined index TyG-BMI to identify normal-high BP values and HTN was compared by receiver operating characteristic (ROC) curves. Results: Among the 15,464 eligible non-diabetic participants, 28.56% (4,416/15,464) and 6.23% (964/15,464) had normal-high BP values and HTN, respectively. Multivariate logistic regression analysis showed positive correlations between BMI, TyG index, TyG-BMI and normal-high BP values/HTN; after standardized regression coefficients, TyG-BMI had the strongest association with normal-high BP values and HTN compared to BMI and TyG index. In the fully adjusted model, the odds ratio (OR) value corresponding to the relationship between TyG-BMI and HTN/normal-high BP values was 2.35; when TyG-BMI was used as a categorical variable, compared with the lowest quartile of TyG-BMI the regression coefficient for the association of the highest quartile of TyG-BMI with normal-high BP values increased by 426%, while the regression coefficient for the association with HTN increased by 527%. In further spline regression analysis, we also found that there was a linearly positive correlation between TyG-BMI and systolic BP/diastolic BP (SBP/DBP), which supported the linear trend between TyG-BMI and HTN/normal-high BP values ( Conclusion: In the non-diabetic population, TyG-BMI showed a significant positive correlation with both normal-high BP values and HTN, and TyG-BMI was of higher value for the identification of both normal-high BP values and HTN compared to BMI and TyG index alone.

Indexed as

general populationhypertensionnormal-high blood pressure valuestriglyceride glucose body mass indexTyG-BMI

Identifiers

PMID37168658
PMCPMC10164981
OpenAlexW4366827849

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

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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.