Evidence map›Paper›PMID 34970911›Full record

ArticleJournal of the American Heart Association2022

Association of Chinese Visceral Adiposity Index and Its Dynamic Change With Risk of Carotid Plaque in a Large Cohort in China.

Haoran Bi, Yanyan Zhang, Pei Qin, Changyi Wang, Xiaolin Peng, Hongen Chen, Dan Zhao, Shan Xu, Li Wang, Ping Zhao and 2 more

Abstract read
In one paragraph

Article in Journal of the American Heart Association, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing 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

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

29 citing papers in PubMed.

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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

12 authors.

Haoran BiDepartment of Epidemiology and Biostatistics School of Public Health Xuzhou Medical University Xuzhou Jiangsu People's Republic of China.
Yanyan ZhangDepartment of Biostatistics and Epidemiology School of Public Health Shenzhen University Health Science Center Shenzhen Guangdong People's Republic of China.
Pei QinDepartment of Biostatistics and Epidemiology School of Public Health Shenzhen University Health Science Center Shenzhen Guangdong People's Republic of China.
Changyi WangDepartment of Non-communicable Disease Prevention and Control Shenzhen Nanshan Center for Chronic Disease Shenzhen Guangdong People's Republic of China.
Xiaolin PengDepartment of Non-communicable Disease Prevention and Control Shenzhen Nanshan Center for Chronic Disease Shenzhen Guangdong People's Republic of China.
Hongen ChenDepartment of Non-communicable Disease Prevention and Control Shenzhen Nanshan Center for Chronic Disease Shenzhen Guangdong People's Republic of China.
Dan ZhaoDepartment of Non-communicable Disease Prevention and Control Shenzhen Nanshan Center for Chronic Disease Shenzhen Guangdong People's Republic of China.
Shan XuDepartment of Non-communicable Disease Prevention and Control Shenzhen Nanshan Center for Chronic Disease Shenzhen Guangdong People's Republic of China.
Li WangDepartment of Non-communicable Disease Prevention and Control Shenzhen Nanshan Center for Chronic Disease Shenzhen Guangdong People's Republic of China.
Ping ZhaoDepartment of Health Management Beijing Xiaotangshan Hospital Beijing People's Republic of China.
Yanmei LouDepartment of Health Management Beijing Xiaotangshan Hospital Beijing People's Republic of China.ORCID 0000-0002-5107-5331
Fulan HuDepartment of Biostatistics and Epidemiology School of Public Health Shenzhen University Health Science Center Shenzhen Guangdong People's Republic of China.ORCID 0000-0002-2386-1503

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background We aimed to evaluate the association between the Chinese visceral adiposity index (CVAI) and its dynamic change and risk of carotid plaque based on a large Chinese cohort. Methods and Results This cohort included 23 522 participants aged 20 to 80 years without elevated carotid intima-media thickness and carotid plaque at baseline and who received at least 2 health checkups. CVAI was calculated at baseline and at every checkup. The dynamic change in CVAI was calculated by subtracting CVAI at baseline from that at the last follow-up. Cox proportional hazard regression model was used to estimate hazard ratios (HRs) and 95% CIs. The restricted cubic spline was applied to model the dose-response association between CVAI and carotid plaque risk. During the 82 621 person-years of follow-up, 5987 cases of carotid plaque developed (7.25/100 person-years). We observed a significant positive correlation between CVAI and carotid plaque risk (HR, 1.53; 95% CI, 1.48-1.59 [

Indexed as

AdiposityPlaque, AtheroscleroticAdultAgedAged, 80 and overCarotid Intima-Media ThicknessChinaFemaleHumansMaleMiddle AgedObesity, AbdominalRisk FactorsYoung Adultcarotid plaqueChinese visceral adiposity indexcohort studydynamic change

Identifiers

PMID34970911
PMCPMC9075187

What Socratic 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 Socratic graph.