Evidence map›Paper›PMID 36446626›Full record

ArticleJournal of diabetes2022

A novel index, Chinese visceral adiposity index is closely associated with urinary albumin-creatinine ratio in Chinese community adults, especially in hypertensive or hyperglycemic population: Results from the REACTION study.

Binqi Li, Weiqing Wang, Zhengnan Gao, Xulei Tang, Li Yan, Qin Wan, Zuojie Luo, Guijun Qin, Lulu Chen, Guang Ning and 1 more

Open access · goldAbstract read
In one paragraph

Article in Journal of diabetes, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.5field-weighted citation impact, top 15% 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

11 citing papers in PubMed, 11 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

11 authors at 9 institutions in 1 country.

Binqi LiSchool of Medicine, Nankai University, Tianjin, China.ORCID https://orcid.org/0000-0002-3995-1538
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 GaoDalian Central Hospital, Dalian, Liaoning, China.
Xulei TangFirst Hospital of Lanzhou University, Lanzhou, Gansu, China.
Li YanZhongshan University Sun Yat-sen Memorial Hospital, Guangzhou, Guangdong, China.
Qin WanSouthwest Medical University Affiliated Hospital, Luzhou, Sichuan, China.
Zuojie LuoFirst Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China.ORCID https://orcid.org/0000-0003-2969-8329
Guijun QinFirst Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.
Lulu ChenWuhan Union Hospital, Huazhong University of Science and Technology, Wuhan, Hubei, 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.ORCID https://orcid.org/0000-0002-5754-7635
Yiming MuSchool of Medicine, Nankai University, Tianjin, China.ORCID https://orcid.org/0000-0002-3344-3540
Nankai University · CNRuijin Hospital · CNAffiliated Hospital of Southwest Medical University · CNDalian Municipal Central Hospital · CNFirst Affiliated Hospital of Zhengzhou University · CNFirst Hospital of Lanzhou University · CNGuangxi Medical University · CNSun Yat-sen University · CNWuhan Union Hospital · CN

Funding

Beijing Municipal Science and Technology Commission Z201100005520014
6 · The paper itself

Abstract

backgroundThe association between the Chinese Visceral Adiposity Index (CVAI) and urinary albumin to creatinine ratio (UACR) has not been illustrated. The current study aimed to investigate the association between CVAI and UACR and to compare the discriminative power of CVAI, triglyceride, body mass index (BMI), waist circumference (WC), and waist-to-hip ratio (WHR) with UACR in the Chinese community population.

methodsThis study included 34 732 participants from the REACTION (Risk Evaluation of cAncers in Chinese diabeTic Individuals) study. Binary logistic regression analyses were performed to detect the association between CVAI, triglyceride, BMI, WC, WHR and UACR.

resultsBinary logistic regression analysis showed that, after adjusting for potential confounders, in women, CVAI (odds ratio [OR]:1.16, 95% confidence interval [CI]: 1.01-1.34) and triglyceride (OR: 1.18, 95% CI: 1.04-1.33) were associated with UACR, whereas BMI, WC, and WHR were not associated with UACR; in men, CVAI (OR: 1.24, 95% CI: 1.02-1.50), WC (OR: 1.21, 95% CI 1.00-1.48), and triglycerides (OR: 1.18, 95% CI 0.97-1.44) were associated with UACR, whereas BMI and WHR were not associated with UACR. Stratified analysis showed that the correlation between CVAI and UACR was stronger in the population with 5.6 ≤ fasting blood glucose (FBG) <7.0 or 7.8 ≤ post-load blood glucose (PBG) <11.1 mmol/L, FBG ≥7.0 or PBG ≥11.1, systolic blood pressure ≥140 mmHg or diastolic blood pressure ≥90 mmHg.

conclusionsIn the Chinese general population, CVAI and UACR were significantly associated in both genders. At higher CVAI levels, the population with prediabetes, diabetes, and hypertension has a more significant association between CVAI and UACR.

Indexed as

Diabetes MellitusHypertensionAdiposityAdultAlbuminsBlood GlucoseBody Mass IndexChinaCreatinineEast Asian PeopleFemaleHumansMaleObesity, AbdominalRisk FactorsTriglyceridesAlbuminsBlood GlucoseCreatinineTriglyceridesChinese Visceral Adiposity Indexdiabetic complicationsdiabetic nephropathyobesityurinary albumin to creatinine ratio中国人群内脏脂肪指数尿白蛋白肌酐比糖尿病并发症糖尿病肾病肥胖

Identifiers

PMID36446626
PMCPMC9789393
OpenAlexW4310464501

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.