Evidence mapPaperPMID 41113701Full record

Observational studyFrontiers in endocrinology2025

The correlation between neck circumference and atherogenic index of plasma with coronary heart disease.

Huihui Yang, Jie Dou, Ruoling Guo, Mingliang Sun, Jie Gao, Hongjun Shu, Hewei Sun, Xintao Zhao, Yuhua Song, Yanchun Hou and 2 more

Abstract readObservational Study
In one paragraph

Observational study in Frontiers in endocrinology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing 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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Huihui Yang *Chengde Medical University Graduate School, Hebei, China.
Jie Dou *Chengde Medical University Graduate School, Hebei, China.
Ruoling Guo *Chengde Medical University Graduate School, Hebei, China.
Mingliang SunChengde Medical University Graduate School, Hebei, China.
Jie GaoChengde Medical University Graduate School, Hebei, China.
Hongjun ShuDepartment of Cardiology, Chengde Central Hospital/Second Clinical College of Chengde Medical University, Hebei, China.
Hewei SunDepartment of Cardiology, Chengde Central Hospital/Second Clinical College of Chengde Medical University, Hebei, China.
Xintao ZhaoDepartment of Cardiology, Chengde Central Hospital/Second Clinical College of Chengde Medical University, Hebei, China.
Yuhua SongDepartment of Cardiology, Chengde Central Hospital/Second Clinical College of Chengde Medical University, Hebei, China.
Yanchun HouDepartment of Cardiology, Chengde Central Hospital/Second Clinical College of Chengde Medical University, Hebei, China.
Ying ZhangDepartment of Geriatrics, Chengde Central Hospital/Second Clinical College of Chengde Medical University, Hebei, China.
Donglei LuoDepartment of Cardiology, Chengde Central Hospital/Second Clinical College of Chengde Medical University, Hebei, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and aims: Coronary heart disease (CHD) remains a leading cause of mortality globally and is becoming increasingly prevalent in China. Growing evidence suggests that dyslipidemia plays a critical role in the pathogenesis of atherosclerosis. The primary objective of this study was to investigate the association between neck circumference (NC) and the atherogenic index of plasma (AIP) with the severity of CHD, and to evaluate the diagnostic utility of combining NC with AIP for identifying CHD. Methods: This observational, cross-sectional study included 1652 patients with chest pain from the Department of Cardiology at Chengde Central Hospital who underwent coronary angiography (CAG). Restricted cubic splines (RCS) were used to examine the associations between NC, AIP, and CHD. Independent predictors of CHD risk were identified through univariate and multivariate regression analyses and subsequently integrated into a risk prediction nomogram. The model's performance was validated using receiver operating characteristic (ROC) curve, calibration plots, and decision curve analysis (DCA). Results: The study demonstrates a robust association between NC and AIP with both the incidence and severity of CHD. After adjusting for sex and age, the ORs (95% CIs) for CHD increased progressively across the quartiles of NC: ORs were 1.24 (0.89-1.74), 1.42 (0.98-2.04), and 1.80 (1.22-2.66) for the second, third, and fourth quartiles, respectively, compared with the first quartile, indicating a significant increasing trend ( Conclusions: NC and AIP are positively correlate with CHD. Combined measurement of these variables provides significant predictive value for the diagnosis of CHD.

Indexed as

AtherosclerosisCoronary DiseaseNeckAgedChinaCoronary AngiographyCross-Sectional StudiesFemaleHumansMaleMiddle AgedNomogramsRisk FactorsROC Curveatherogenic index of plasmacoronary heart diseaseneck circumferencerestricted cubic splineseverity of coronary lesions

Identifiers

PMID41113701
PMCPMC12531039

What Socratic holds

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Registered trials

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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 Socratic graph.