Evidence map›Paper›PMID 38975280›Full record

ArticlePreventive medicine reports2024

Serum γ-glutamyltransferase levels and obesity status changes the risk of prehypertension in Chinese adults.

Zhi Wang, Dongjun Chen, Lingling Peng, Xian Wang, Qun Ding, Liang Li, Tongdao Xu

Abstract read
In one paragraph

Article in Preventive medicine reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

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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

1 citing paper in PubMed.

  1. Article
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

7 authors.

Zhi WangDepartment of Endocrinology, The Second People's Hospital of Lianyungang, Jiangsu, China.
Dongjun ChenDepartment of Cardiac Function Examine, The Second People's Hospital of Lianyungang, Jiangsu, China.
Lingling PengDepartment of Endocrinology, The Second People's Hospital of Lianyungang, Jiangsu, China.
Xian WangDepartment of Ultrasonography, The Second People's Hospital of Lianyungang, Jiangsu, China.
Qun DingDepartment of Endocrinology, The Second People's Hospital of Lianyungang, Jiangsu, China.
Liang LiDepartment of Ultrasonography, The Second People's Hospital of Lianyungang, Jiangsu, China.
Tongdao XuDepartment of Endocrinology, The Second People's Hospital of Lianyungang, Jiangsu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: It's well known that γ-Glutamyltransferase (γ-GGT) and obesity plays an important role in the development of preHT. However, the effect of γ-GGT on preHT in populations with different obesity status remains unclear. Methods: From February 2014 to January 2018, a total of 20,368 participants were enrolled in this study after excluding those with hypertension and liver diseases. Fasting blood samples were collected to measure γ-GGT and blood lipid levels and glucose indices. Demographic and clinical parameters such as sex, age, height, weight, neck circumference (NC), waist circumference (WC), hip circumference (HC), and body fat ratio (BFR); and information on smoking and alcohol consumption were collected by trained medical professionals. Results: Participants were divided into three groups based on obesity status. The prevalence of preHT was 83.5 % in the obesity group was higher than that in the overweight group (58.9 %) and the normal group (47.1 %). γ-GGT in different categories of obesity indices were significantly different, and higher obesity indices were found with higher γ-GGT levels. The interaction of γ-GGT and obesity indices such as NC, WC, HC, and BFR on the prevalence of preHT was significant ( Conclusion: Our results indicate that γ-GGT is a risk factor for preHT in participants who are nonobese, and that the obesity indices NC, WC, HC, BFR, and γ-GGT were contributing factors in increasing the risk of preHT.

Indexed as

Body mass indexInteraction effectObesityPrehypertensionγ-glutamyltransferase

Identifiers

PMID38975280
PMCPMC11225693

What Socratic holds

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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 Socratic graph.