Evidence map›Paper›PMID 38254061›Full record

ArticleBMC public health2024

Common carotid artery diameter and the risk of cardiovascular disease mortality: a prospective cohort study in northeast China.

Ziyi Yin, Jiajing Guo, Ru Li, Hong Zhou, Xue Zhang, Shanshan Guan, Yuanmeng Tian, Li Jing, Qun Sun, Guangxiao Li and 2 more

Abstract read
In one paragraph

Article in BMC public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 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.

Ziyi Yin *Department of Ultrasound, The Fourth Affiliated Hospital of China Medical University, Shenyang, 110000, People's Republic of China.
Jiajing Guo *Department of Ultrasound, The Fourth Affiliated Hospital of China Medical University, Shenyang, 110000, People's Republic of China.
Ru LiDepartment of Ultrasound, The Affiliated Hospital of Northwest University, Xi'an No.3 Hospital, Xi'an, 710000, People's Republic of China.
Hong ZhouDepartment of Cardiovascular Ultrasound, Central Hospital of Chaoyang City, Chaoyang, 122000, People's Republic of China.
Xue ZhangDepartment of Cardiovascular Ultrasound, Central Hospital of Chaoyang City, Chaoyang, 122000, People's Republic of China.
Shanshan GuanDepartment of Cardiovascular Ultrasound, Central Hospital of Chaoyang City, Chaoyang, 122000, People's Republic of China.
Yuanmeng TianDepartment of Chronic Disease, Liaoning Provincial Center for Disease Control and Prevention, Shenyang, 110005, People's Republic of China.
Li JingDepartment of Chronic Disease, Liaoning Provincial Center for Disease Control and Prevention, Shenyang, 110005, People's Republic of China.
Qun SunDepartment of Chronic Disease, Disease Control and Prevention of Chao Yang City, Chaoyang, 122000, People's Republic of China.
Guangxiao LiDepartment of Medical Record Management Center, The First Hospital of China Medical University, Shenyang, 110001, People's Republic of China.
Liying XingDepartment of Chronic Disease, Liaoning Provincial Center for Disease Control and Prevention, Shenyang, 110005, People's Republic of China. xly1983sy@163.com.
Shuang LiuDepartment of Ultrasound, The Fourth Affiliated Hospital of China Medical University, Shenyang, 110000, People's Republic of China. liushuang027104@163.com.

Funding

LiaoNing Revitalization Talents Program XLYC2007058the Department of Science and Technology of Liaoning Province 2018225065, 2019JH2/10300001the National Natural Science Foundation of China 62171472
6 · The paper itself

Abstract

backgroundThe association between the common carotid artery (CCA) diameter and cardiovascular disease (CVD) is recognized, but the precise nature of this link remains elusive. This study aimed to investigate the potential relationship between CCA diameter and the risk of CVD mortality in a large population in northeast China.

methodsThe current study included 5668 participants (mean age 58.9 ± 10.1 years) from a population-based study conducted in rural areas of northeast China between September 2017 and May 2018. Information on death was collected from baseline until July 31, 2022. The CCA inter-adventitial diameter was measured using ultrasound. Cox proportional-hazard models were employed to explore the relationship between the common carotid artery diameter and cardiovascular mortality.

resultsAt baseline, the mean CCA diameter (mm) of subjects was 7.30 ± 0.99 and increased significantly with age, ranging from 6.65 ± 0.71 among people 40-49 years to 7.99 ± 1.04 among people ≥ 80 years. CCA diameter was significantly larger in males compared to females (7.51 ± 1.03 versus vs. 7.16 ± 0.94; P < 0.001). A total of 185 participants died of CVD during a median follow-up of 4.48 years. CCA diameters were divided into quartiles, and the highest quartile of carotid diameter (≥ 8.06 mm) had a 2.29 (95% confidence interval [CI]: 1.24, 4.22) times higher risk of CVD mortality than the lowest quartile (≤ 6.65 mm) (P < 0.01) in the fully adjusted model. Each increase in the diameter of the common carotid artery (per SD) raised the risk of cardiovascular death by 36% (hazard ratio [HR]: 1.36; 95% CI: 1.18, 1.57). The subgroup analysis results demonstrated that a per SD increase was associated with a 42% increased risk of CVD mortality in participants aged ≥ 64 years in the fully adjusted model (HR: 1.42; 95%CI: 1.21, 1.66).

conclusionsOur study indicates the possible incremental value of CCA diameter in optimizing the risk stratification of cardiovascular disease and provides essential insights into reducing the burden of cardiovascular disease.

Indexed as

Cardiovascular DiseasesAdultAgedCarotid Artery, CommonChinaFemaleHumansMaleMiddle AgedProspective StudiesCardiovascular diseaseCommon carotid arteryEpidemiologyMortality

Identifiers

PMID38254061
PMCPMC10801967

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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.