Evidence map›Paper›PMID 40027106›Full record

ArticleRisk management and healthcare policy2025

Pulse Pressure and Other Cardiovascular Risk Factors Associated with Multiple Carotid Plaques in a Rural Chinese Population: A Population-Based Cross-Sectional Study.

Chunxia Yan, Juan Hao, Xiaoqian Sun, Yanan Ding, Taofeng Tan, Xiaoqian Yang, Jun Tu, Xianjia Ning, Jinghua Wang, Lingling Bai

Abstract read
In one paragraph

Article in Risk management and healthcare policy, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

2 citing papers in PubMed.

  1. Article
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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

10 authors.

Chunxia YanDepartment of Neurology, Liaocheng People's Hospital, Liaocheng, Shandong Province, 252000, People's Republic of China.
Juan HaoDepartment of Neurology, Tianjin Medical University General Hospital, Tianjin, 300052, People's Republic of China.
Xiaoqian SunDepartment of Neurology, Liaocheng People's Hospital, Liaocheng, Shandong Province, 252000, People's Republic of China.
Yanan DingDepartment of Neurology, Liaocheng People's Hospital, Liaocheng, Shandong Province, 252000, People's Republic of China.
Taofeng TanDepartment of Neurology, Tianjin Medical University General Hospital, Tianjin, 300052, People's Republic of China.
Xiaoqian YangDepartment of Neurology, Liaocheng People's Hospital, Liaocheng, Shandong Province, 252000, People's Republic of China.
Jun TuDepartment of Neurology, Tianjin Medical University General Hospital, Tianjin, 300052, People's Republic of China.
Xianjia NingDepartment of Neurology, Tianjin Medical University General Hospital, Tianjin, 300052, People's Republic of China.
Jinghua WangDepartment of Neurology, Tianjin Medical University General Hospital, Tianjin, 300052, People's Republic of China.ORCID 0000-0003-2619-0570
Lingling BaiDepartment of Neurology, Liaocheng People's Hospital, Liaocheng, Shandong Province, 252000, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study aimed to investigate the association between these Blood pressure (BP) components examined in this study, including systolic blood pressure (SBP), diastolic blood pressure (DBP), pulse pressure (PP), and mean arterial pressure (MAP), with the presence of multiple carotid plaques in a low-income rural Chinese population. Methods: This population-based cross-sectional study was conducted from April 2014 to January 2015, involving participants from the Tianjin Brain Study. Participants aged 45 years and older with diagnosed carotid plaques were included. Data on demographics, medical history, and lifestyle factors were collected through interviews and existing records. Blood pressure measurements were taken in a quiet room, following the standard procedures recommended by the American Hypertension Association (AHA), and ultrasonographic examinations were performed to identify and quantify carotid plaques. Multivariate logistic regression model was used to explore the association between blood pressure components and multiple plaques. The blood pressure component with a positive univariate analysis was included in different models, each adjusted for age, sex, body mass index (BMI), and the ratio of high-density lipoprotein cholesterol (HDL-C) to low-density lipoprotein cholesterol (LDL-C). Results: The study found that 41.8% of participants had multiple carotid plaques, with a higher prevalence in men compared to women. Multivariate logistic regression analysis revealed that each 1-mmHg increase in systolic BP (SBP) was associated with a 0.9% increase in the prevalence of multiple carotid plaques (OR = 1.009; 95% CI 1.004-1.014; P < 0.001). Each 1-mmHg increase in pulse pressure (PP) was associated with a 1.2% increase (OR = 1.012; 95% CI 1.006-1.018; P < 0.001), and each 1-mmHg increase in mean arterial pressure (MAP) was associated with a 1.1% increase (OR = 1.011; 95% CI 1.003-1.019; P = 0.005). Participants with a history of hypertension had a significantly higher prevalence of multiple carotid plaques compared to normotensive individuals. Notably, grade 2 hypertension showed a significant association with multiple carotid plaques (OR = 1.554; 95% CI 1.135-2.127; P = 0.006). In addition, male sex, older age, and low BMI were all associated with a higher risk of multiple carotid plaques (P all< 0.05). Conclusion: This study provides critical evidence on the relationship between BP components and multiple carotid plaques, with significant implications for patients, physicians, and society. By prioritizing BP management, particularly focusing on PP, which demonstrates the strongest association with carotid plaques, as well as targeting higher-risk populations such as males, older individuals, and those with low BMI, preventive measures against carotid atherosclerosis can be enhanced. This will ultimately contribute to better cardiovascular health outcomes and reduce the societal burden of stroke and related diseases.

Indexed as

atherosclerosisblood pressure componentscarotid plaqueshypertensionpulse pressure

Identifiers

PMID40027106
PMCPMC11871931

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LicenceCC BY-NC
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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.