Evidence map›Paper›PMID 40841758›Full record

ArticleScientific reports2025

Atherogenic index of plasma combined with carotid crouse score predicts coronary artery disease in young and middle-aged adults.

Xi Wu, Mingxing Wu, Haobo Huang, Zhe Liu, He Huang, Lei Wang

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  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

6 authors.

Xi WuDepartment of Cardiology, Xiangtan Central Hospital (The Affiliated Hospital of Hunan University), Xiangtan, 411100, Hunan, People's Republic of China.
Mingxing WuDepartment of Cardiology, Xiangtan Central Hospital (The Affiliated Hospital of Hunan University), Xiangtan, 411100, Hunan, People's Republic of China.
Haobo HuangDepartment of Cardiology, Xiangtan Central Hospital (The Affiliated Hospital of Hunan University), Xiangtan, 411100, Hunan, People's Republic of China.
Zhe LiuDepartment of Cardiology, Xiangtan Central Hospital (The Affiliated Hospital of Hunan University), Xiangtan, 411100, Hunan, People's Republic of China.
He HuangDepartment of Cardiology, Xiangtan Central Hospital (The Affiliated Hospital of Hunan University), Xiangtan, 411100, Hunan, People's Republic of China.
Lei WangDepartment of Cardiology, Xiangtan Central Hospital (The Affiliated Hospital of Hunan University), Xiangtan, 411100, Hunan, People's Republic of China. heartwl@126.com.

Funding

National Innovation Center for High Performance Medical Devices NMED2025KF-02-011
6 · The paper itself

Abstract

This retrospective study included 642 patients aged 18-59 years who underwent carotid ultrasound and coronary angiography. Patients were grouped by coronary artery disease (CAD) status and median Gensini score. Clinical characteristics, the atherogenic index of plasma (AIP), and carotid Crouse scores were compared. Multivariate logistic regression analysis was performed to identify independent predictors of CAD and severe coronary stenosis. Receiver operating characteristic (ROC) curve analyses assessed the diagnostic performance of AIP, Crouse score, and their combination. Both AIP and Crouse score were significantly higher in CAD patients compared to non-CAD controls (P < 0.001) and in high versus low Gensini score groups (P < 0.001). Multivariate analyses identified AIP (odds ratio [OR] = 1.219 for CAD; OR = 1.575 for severe stenosis) and Crouse score (OR = 1.543 for CAD; OR = 1.253 for severe stenosis) as independent predictors. ROC curve analysis revealed that the combined model had higher area under the curve (AUC) values for predicting CAD (AUC = 0.700) and severe coronary stenosis (AUC = 0.754) compared to either AIP or Crouse score alone. Both the AIP and carotid Crouse score are independent predictors of CAD presence and severity. Their combined use significantly improves diagnostic performance, offering a practical, non-invasive strategy for early CAD screening and risk stratification in this population.

Indexed as

AtherosclerosisCarotid ArteriesCoronary Artery DiseaseAdolescentAdultCoronary AngiographyFemaleHumansMaleMiddle AgedRetrospective StudiesRisk FactorsROC CurveSeverity of Illness IndexYoung AdultAtherogenic index of plasmaAtherosclerosisCarotid ultrasoundCoronary artery diseaseCrouse scoreRisk predictionYoung and middle-aged populations

Identifiers

PMID40841758
PMCPMC12370979

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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.