Evidence map›Paper›PMID 28903774›Full record

ArticleLipids in health and disease2017

Triglyceride and glucose (TyG) index as a predictor of incident hypertension: a 9-year longitudinal population-based study.

Rongjiong Zheng, Yushan Mao

Open access · goldAbstract read
In one paragraph

Article in Lipids in health and disease, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 150 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
150citing papers in PubMed, 4 pooled it
7.3field-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

150 citing papers in PubMed, 4 syntheses or guidelines pooled it, 277 citations in OpenAlex.

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90 more citing papers are in PubMed but not listed here.

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

2 authors at 1 institution in 1 country.

Rongjiong ZhengDepartment of Endocrinology, the Affiliated Hospital of Ningbo University School of Medicine, 247 Renmin Road, Ningbo, 315020, China. 842429171@qq.com.
Yushan MaoDepartment of Endocrinology, the Affiliated Hospital of Ningbo University School of Medicine, 247 Renmin Road, Ningbo, 315020, China. zhys007@sohu.com.ORCID http://orcid.org/0000-0002-1715-4933
Ningbo University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHypertension and the triglyceride and glucose index both have been associated with insulin resistance; however, the longitudinal association remains unclear. This study was designed to investigate the longitudinal association between the triglyceride and glucose index and incident hypertension among the Chinese population.

methodsWe studied 4686 subjects (3177 males and 1509 females) and followed up for 9 years. The subjects were divided into four groups based on the triglyceride and glucose index. Univariate and multivariate Cox regression models were used to analyse the risk factors of hypertension.

resultsAfter 9 years of follow-up, 2047 subjects developed hypertension. The overall 9-year cumulative incidence of hypertension was 43.7%, ranging from 28.5% in quartile 1 to 36.9% in quartile 2, 49.2% in quartile 3 and 59.8% in quartile 4 (p for trend < 0.001). Cox regression analyses indicated that higher triglyceride and glucose index was associated with an increased risk of subsequent incident hypertension.

conclusionThe triglyceride and glucose index can predict the incident hypertension among the Chinese population.

Indexed as

AdultAgedAged, 80 and overBiomarkersBlood GlucoseChinaFemaleHumansHypertensionLongitudinal StudiesMaleMiddle AgedRisk FactorsTriglyceridesBiomarkersBlood GlucoseTriglyceridesEpidemiologyHypertensionTriglyceride and glucose index

Identifiers

PMID28903774
PMCPMC5598027
OpenAlexW2754174082

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.