Evidence map›Paper›PMID 38115018›Full record

ArticleBMC public health2023

Association of carotid atherosclerotic plaque and intima-media thickness with the monocyte to high-density lipoprotein cholesterol ratio among low-income residents of rural China: a population-based cross-sectional study.

Zhen Zhang, Yannan Gao, Zejian Li, Bingyi Li, Shuai Gao, Jiayi Sun, Jun Tu, Xianjia Ning, Wenjuan Zhang, Jinghua Wang

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.0field-weighted citation impact, top 11% 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

8 citing papers in PubMed, 9 citations in OpenAlex.

  1. Observational
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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 at 5 institutions in 1 country.

Zhen Zhang *Department of Cardiology, Tianjin Medical University General Hospital, 154 Anshan Road, Heping District, Tianjin, 300052, China.
Yannan Gao *Department of Cardiology, Tianjin Medical University General Hospital, 154 Anshan Road, Heping District, Tianjin, 300052, China.
Zejian Li *Department of Cardiology, Tianjin Medical University General Hospital, 154 Anshan Road, Heping District, Tianjin, 300052, China.
Bingyi LiSchool of Basic Medical Sciences, Guangxi Medical University, Nanning, Guangxi Province, 530000, China.
Shuai GaoDepartment of Cardiology, Tianjin Medical University General Hospital, 154 Anshan Road, Heping District, Tianjin, 300052, China.
Jiayi SunDepartment of Cardiology, Tianjin Medical University General Hospital, 154 Anshan Road, Heping District, Tianjin, 300052, China.
Jun TuLaboratory of Epidemiology, Tianjin Neurological Institute, Tianjin, 300052, China.
Xianjia NingInstitute of Clinical Epidemiology & Evidence-Based Medicine, Tianjin Jizhou People's Hospital, 18 Nanhuan Road, Jizhou District, Tianjin, 301900, China.
Wenjuan ZhangDepartment of Cardiology, Tianjin Medical University General Hospital, 154 Anshan Road, Heping District, Tianjin, 300052, China.
Jinghua WangLaboratory of Epidemiology, Tianjin Neurological Institute, Tianjin, 300052, China. jwang3@tmu.edu.cn.
Tianjin Medical University General Hospital · CNGuangxi Medical University · CNTianjin Hospital · CNTianjin People's Hospital · CNTianjin University · CN

Funding

Tianjin Education Commission scientific research project 2022KJ277Tianjin Health Research Project TJWJ2022ZD012Tianjin Science and Technology Bureau 22ZYCGSY00970
6 · The paper itself

Abstract

backgroundThe monocytes to high-density lipoprotein cholesterol ratio (MHR) has been identified as a potential biomarker for cardiovascular and cerebrovascular diseases. In this population-based cross-sectional study, we explored the relationships among carotid artery disease (CAD), including the presence of carotid atherosclerotic plaque (CAP) and carotid artery intima-media thickness (CIMT), the MHR, and related parameter changes.

methodsThis cross-sectional study, Conducted from April to June 2019 in a rural area of Tianjin, involved middle-aged and elderly participants. Based on carotid ultrasound examinations, participants were divided into CAP and non-CAP groups. Logistic regression and Receiver Operating Characteristic (ROC) curve analyses were utilized to assess MHR's predictive value for CAP. Gender-specific analyses were also performed to examine predictive variations. The relationship between CIMT and MHR was evaluated using linear regression.

resultsOf the 2109 participants meeting the inclusion criteria, 51.6% were identified with CAP. Multivariate analysis revealed a significant association between MHR and CAP prevalence, (OR, 9.670; 95% CI, 2.359-39.631; P = 0.002), particularly in females (OR, 5.921; 95% CI, 1.823-19.231; P = 0.003), after adjusting for covariates. However, no significant correlation was found between CIMT and MHR when adjusted for other factors. The ROC analysis showed the area under the curve for MHR and CAP to be 0.569 (95% CI: 0.544-0.593; P < 0.001).

conclusionsThese findings suggested that it is crucial to enhance early screening and intervention for CAD, specifically focusing on the prevention and progression of CAP, to address the unique health challenges faced by low-income groups in rural settings. Emphasizing these preventive measures could significantly contribute to improving cardiovascular health outcomes in this vulnerable population.

Indexed as

Carotid Artery DiseasesPlaque, AtheroscleroticAgedCarotid ArteriesCarotid Intima-Media ThicknessCholesterol, HDLCross-Sectional StudiesFemaleHumansMiddle AgedMonocytesRisk FactorsCholesterol, HDLCarotid AtherosclerosisEpidemiologyIntima-media thicknessRatio of monocyte to high-density lipoprotein cholesterolRisk factors

Identifiers

PMID38115018
PMCPMC10731795
OpenAlexW4389949164

What Socratic 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 Socratic graph.