Evidence map›Paper›PMID 35846316›Full record

ArticleFrontiers in endocrinology2022

Chinese Visceral Adiposity Index Is More Closely Associated With Hypertension and Prehypertension Than Traditional Adiposity Indices in Chinese Population: Results From the REACTION Study.

Binqi Li, Jie Wang, Xin Zhou, Yang Liu, Weiqing Wang, Zhengnan Gao, Xulei Tang, Li Yan, Qin Wan, Zuojie Luo and 4 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in endocrinology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
5.7field-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

24 citing papers in PubMed, 43 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

14 authors at 12 institutions in 1 country.

Binqi LiSchool of Medicine, Nankai University, Tianjin, China.
Jie WangDepartment of Endocrinology, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China.
Xin ZhouGraduate School, Chinese People's Liberation Army (PLA) General Hospital, Beijing, China.
Yang LiuGraduate School, Chinese People's Liberation Army (PLA) General Hospital, Beijing, China.
Weiqing WangShanghai National Research Centre for Endocrine and Metabolic Diseases, State Key Laboratory of Medical Genomics, Shanghai Institute for Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.
Zhengnan GaoDepartment of Endocrinology, Dalian Central Hospital, Dalian, China.
Xulei TangDepartment of Endocrinology, First Hospital of Lanzhou University, Lanzhou, China.
Li YanDepartment of Endocrinology, Zhongshan University Sun Yat-sen Memorial Hospital, Guangzhou, China.
Qin WanDepartment of Endocrinology, Southwest Medical University Affiliated Hospital, Luzhou, China.
Zuojie LuoFirst Affiliated Hospital of Guangxi Medical University, Nanning, China.
Guijun QinFirst Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Lulu ChenWuhan Union Hospital, Huazhong University of Science and Technology, Wuhan, China.
Guang NingShanghai National Research Centre for Endocrine and Metabolic Diseases, State Key Laboratory of Medical Genomics, Shanghai Institute for Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.
Yiming MuSchool of Medicine, Nankai University, Tianjin, China.
Chinese People's Liberation Army · CNRuijin Hospital · CNAffiliated Hospital of Southwest Medical University · CNBeijing Chao-Yang Hospital · CNChinese PLA General Hospital · CNDalian Municipal Central Hospital · CNFirst Affiliated Hospital of Zhengzhou University · CNFirst Hospital of Lanzhou University · CNGuangxi Medical University · CNNankai University · CNSun Yat-sen Memorial Hospital · CNWuhan Union Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: The optimal adiposity index that is strongly associated with hypertension or prehypertension remains inconclusive in Chinese population. This study aimed to investigate the relationship between Chinese visceral adiposity index (CVAI) and hypertension and prehypertension, as well as to compare the discriminative power of CVAI, visceral adiposity index (VAI), body mass index (BMI), waist circumference (WC), waist to height ratio (WHtR), low-density lipoprotein cholesterol (LDL-C), and waist-to-hip ratio (WHR) with hypertension and prehypertension in Chinese general population. Patients and Methods: A total of 34732 participants from REACTION study were recruited. Multiple logistic regression analyses were performed to detect the association between adiposity indices (CVAI, VAI, BMI, WC, WHtR, WHR, LDL-C) and hypertension and prehypertension. Results: Multivariate logistic regression analysis showed that compared with other obesity indices, CVAI remained significantly associated with hypertension and prehypertension (Hypertension: odds ratio (OR) 3.475, 95% confidence interval (CI) 3.158-3.824, p<0.001 in total subjects; OR 2.762, 95% CI 2.369-3.221, p<0.001 in men; OR 3.935, 95% CI 3.465-4.469, p<0.001 in women, Prehypertension: OR 2.747, 95% CI 2.460-3.068, p<0.001 in total subjects; OR 2.605, 95% CI 2.176-3.119, p<0.001 in men; OR 2.854, 95% CI 2.465-3.304, p<0.001 in women).In a stratified analysis, CVAI was significantly associated with hypertension and prehypertension at any level of blood glucose, age or estimated glomerular filtration rate(eGFR). Conclusion: CVAI is significantly associated with hypertension and prehypertension. CVAI shows the superior discriminative ability for hypertension and prehypertension compared with VAI, BMI, WC, WHtR, WHR and LDL-C in Chinese general population.

Indexed as

HypertensionPrehypertensionAdiposityChinaCholesterol, LDLFemaleHumansMaleObesityObesity, AbdominalCholesterol, LDLChinese visceral adiposity indexhypertensionobesityprehypertensionvisceral adiposityvisceral adiposity index

Identifiers

PMID35846316
PMCPMC9280650
OpenAlexW4283738950

What OpenQuestion holds

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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.