Evidence map›Paper›PMID 41274881›Full record

ArticleNature communications2025

Deciphering age- and sex-specific patterns of coronary artery atherosclerosis from a large Chinese cohort.

Xinnian Yang, Jiayin Zhang, Yanli Song, Dengqiang Jia, Qingqi Hong, Yiqiang Zhan, Xiang Sean Zhou, Yining Dong, Yining Wang, Dijia Wu and 1 more

Abstract readMulticenter Study
In one paragraph

Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Rethinking risk: The prognostic power of coronary plaque in young women.American journal of preventive cardiology · 2026
    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

11 authors.

Xinnian Yang *School of Data Science, City University of Hong Kong, Hong Kong, China.
Jiayin Zhang *Department of Radiology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.ORCID http://orcid.org/0000-0001-7383-7571
Yanli SongShanghai United Imaging Intelligence Co., Ltd., Shanghai, China.
Dengqiang JiaHong Kong Centre for Cerebro-cardiovascular Health Engineering, Hong Kong, China.
Qingqi HongNational Institute for Data Science in Health and Medicine, Xiamen University, Xiamen, China.
Yiqiang ZhanShanghai United Imaging Intelligence Co., Ltd., Shanghai, China.
Xiang Sean ZhouShanghai United Imaging Intelligence Co., Ltd., Shanghai, China.
Yining DongSchool of Data Science, City University of Hong Kong, Hong Kong, China.
Yining WangDepartment of Radiology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China. wangyining@pumch.cn.
Dijia WuShanghai United Imaging Intelligence Co., Ltd., Shanghai, China. dijia.wu@uii-ai.com.
Dinggang ShenSchool of Biomedical Engineering & State Key Laboratory of Advanced Medical Materials and Devices, ShanghaiTech University, Shanghai, China. dinggang.shen@gmail.com.ORCID http://orcid.org/0000-0002-7934-5698

Funding

City University of Hong Kong (CityU) 9610640National Natural Science Foundation of China (National Science Foundation of China) 22322816National Natural Science Foundation of China (National Science Foundation of China) 62131015National Natural Science Foundation of China (National Science Foundation of China) 62471418National Natural Science Foundation of China (National Science Foundation of China) 82471982National Natural Science Foundation of China (National Science Foundation of China) U23A20295Natural Science Foundation of Beijing Municipality (Beijing Natural Science Foundation) Z210013Shanghai Municipal Education Commission 2024AIZD017
6 · The paper itself

Abstract

Coronary artery disease poses a significant public health threat, and coronary computed tomography angiography is the preferred imaging modality for diagnosis and risk assessment of coronary artery disease through plaque evaluation. However, understandings of how atherosclerotic characteristics vary by age and sex remains limited due to challenges in manual quantitative plaque assessment. Here, we conducted a retrospective, consecutive, multi-center Chinese cohort study of 16,300 patients undergoing clinically indicated coronary computed tomography angiography that revealed multi-level quantitative patterns of atherosclerosis stratified by age and sex. We found that females experienced a delayed atherosclerosis onset by approximately 20 years compared to males, with plaque burden increasing nonlinearly with age and accelerating more evidently after menopause. The built coronary atlas identified plaque clusters, primarily within proximal segments of major coronary arteries, slightly upstream side branch bifurcations. Our findings provide deeper insights into coronary atherosclerosis in the Chinese population, supporting more tailored prevention strategies.

Indexed as

Coronary Artery DiseaseAdultAgedAge FactorsChinaCohort StudiesComputed Tomography AngiographyCoronary AngiographyCoronary VesselsEast Asian PeopleFemaleHumansMaleMiddle AgedPlaque, AtheroscleroticRetrospective Studies

Identifiers

PMID41274881
PMCPMC12660745

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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 OpenQuestion graph.