Evidence map›Paper›PMID 36929716›Full record

ArticleJournal of clinical hypertension (Greenwich, Conn.)2023

Association between triglyceride glucose-body mass index and hypertension in Chinese adults: A cross-sectional study.

Danying Deng, Chaolei Chen, Jiabin Wang, Songyuan Luo, Yingqing Feng

Open access · diamondAbstract read
In one paragraph

Article in Journal of clinical hypertension (Greenwich, Conn.), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 1 pooled it
7.2field-weighted citation impact, top 2% 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

23 citing papers in PubMed, 1 synthesis or guideline pooled it, 36 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

5 authors at 1 institution in 1 country.

Danying DengSchool of Biology and Biological Engineering, South China University of Technology, Guangzhou, China.ORCID 0000-0001-8910-7039
Chaolei ChenDepartment of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, Guangdong, China.
Jiabin WangGlobal Health Research Center, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China.
Songyuan LuoDepartment of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, Guangdong, China.
Yingqing FengSchool of Biology and Biological Engineering, South China University of Technology, Guangzhou, China.
Guangdong Academy of Medical Sciences · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The triglyceride glucose-body mass index (TyG-BMI) has been considered an alternative marker of insulin resistance (IR). This cross-sectional study was designed to mainly investigate the association between TyG-BMI, triglyceride glucose combined with body mass index, and hypertension in Chinese adults. The relationship between TyG-BMI and hypertension was examined by multivariate logistic regression and restricted cubic spline model. Multiple logistic regression models were also performed to examine the associations between the individual components of TyG-BMI (BMI, TyG index, TG and FBG) and hypertension. The incremental ability of TyG-BMI versus its individual components for hypertension discrimination was evaluated by C-statistic and net reclassification index. Subgroup analysis was performed to examine potential interactions. A total of 92,545 participants (38.9% men, mean age 53.7 years) were included for final analysis. Logistic regression models showed TyG-BMI and its individual components were all significantly associated with the odds of hypertension (p for trend < .001). The restricted cubic spline regression manifested a linear association between TyG-BMI and hypertension (p for non-linear = .062). The addition of TyG-BMI, in comparison with each individual component, exhibited the maximum incremental value for the discrimination of hypertension on the basis of base model (C-statistic: 0.679, 95% CI: 0.675-0.683 for base model vs. 0.695, 95% CI: 0.691-0.699 for base model + TyG-BMI; net reclassification index: 0.226, 95% CI: 0.215-0.234). TyG-BMI was significantly associated with the odds of hypertension and can be a better discriminator of hypertension.

Indexed as

Blood GlucoseBody Mass IndexHypertensionTriglyceridesAdultBiomarkersCross-Sectional StudiesEast Asian PeopleFemaleHumansMaleMiddle AgedRisk FactorsBiomarkersBlood GlucoseTriglycerideshypertensioninsulin resistancetriglyceride glucose-body mass index (TyG-BMI)

Identifiers

PMID36929716
PMCPMC10085812
OpenAlexW4327677477

What OpenQuestion 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 OpenQuestion graph.