Evidence map›Paper›PMID 41747081›Full record

SynthesisJournal of global health2026

National, regional and provincial prevalence of carotid atherosclerosis and carotid plaque in Chinese adults: an updated systematic review and modelling analysis.

Shiyi Shan, Jing Wu, Jiali Zhou, Liying Zhou, Meijia Xu, Longzhu Zhu, Igor Rudan, Peige Song, Global Health Epidemiology Research Group (GHERG)

Abstract readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in Journal of global health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

9 authors.

Shiyi ShanCenter of Clinical Big Data and Analytics of the Second Affiliated Hospital and School of Public Health, Zhejiang University School of Medicine, Hangzhou, China.
Jing WuCenter of Clinical Big Data and Analytics of the Second Affiliated Hospital and School of Public Health, Zhejiang University School of Medicine, Hangzhou, China.
Jiali ZhouCenter of Clinical Big Data and Analytics of the Second Affiliated Hospital and School of Public Health, Zhejiang University School of Medicine, Hangzhou, China.
Liying ZhouCenter of Clinical Big Data and Analytics of the Second Affiliated Hospital and School of Public Health, Zhejiang University School of Medicine, Hangzhou, China.
Meijia XuCenter of Clinical Big Data and Analytics of the Second Affiliated Hospital and School of Public Health, Zhejiang University School of Medicine, Hangzhou, China.
Longzhu ZhuCenter of Clinical Big Data and Analytics of the Second Affiliated Hospital and School of Public Health, Zhejiang University School of Medicine, Hangzhou, China.
Igor RudanCentre for Global Health, Usher Institute, University of Edinburgh, Edinburgh, Scotland, UK.
Peige SongCenter of Clinical Big Data and Analytics of the Second Affiliated Hospital and School of Public Health, Zhejiang University School of Medicine, Hangzhou, China.
Global Health Epidemiology Research Group (GHERG)

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Carotid atherosclerosis (CAS), a major contributor to cardiovascular morbidity in China, exhibits substantial geographic disparities that remain unquantified at the provincial level. We aimed to provide updated national, regional, and provincial prevalence of CAS or carotid plaque (CP) among Chinese adults aged 30-79 years. Methods: We searched CNKI, Wanfang, China Science and Technology Journal Database (VIP), PubMed, Embase, and MEDLINE for articles published after 2010 that reported on the prevalence of CAS or CP in the general Chinese population. We used a multilevel mixed-effects meta-regression model to estimate the national age- and sex-specific prevalence of CAS and CP. We assessed the relationships of associated factors with CAS and CP using random-effects meta-analysis. The pooled odds ratios were then incorporated into 'associated factor-based' model, alongside provincial-level associated factor data, to estimate national case numbers across provinces. Results: Based on data from 82 articles, we estimated the overall prevalences of CAS and CP to be 36.35% (95% confidence interval (CI) = 29.74-43.44) and 26.27% (95% CI = 23.17-29.59), respectively. We noted associations between high prevalence and advancing age, with males having a higher prevalence across the whole age spectrum compared to females. A total of 320.25 million (95% CI = 262.03-382.72) and 231.48 million (95% CI = 204.19-260.70) population aged 30-79 years were affected by CAS and CP in mainland China. Current smoking, hypertension, and diabetes were associated with CAS and CP, with dyslipidaemia only associated with CP. Northeast China recorded the highest prevalence of CAS (39.31%; 95% CI = 32.25-46.81) and CP (28.56%; 95% CI = 25.21-32.13) in 2020. Sichuan Province had the highest prevalence of both CAS (42.14%; 95% CI = 34.79-49.92) and CP (30.77%; 95% CI = 27.26-34.50), while Tibet showed the lowest (CAS: 26.80%; 95% CI = 21.35-32.92; CP: 18.74%; 95% CI = 16.33-21.39). Conclusions: CAS and CP are highly prevalent in China, with substantial age trends, sex differences, and regional disparities. Targeted prevention strategies and evidence-based resource allocation are needed to manage the high burden of CAS and CP and their associated factors. Registration: PROSPERO: CRD420251033132.

Indexed as

Carotid Artery DiseasesPlaque, AtheroscleroticAdultAgedChinaEast Asian PeopleFemaleHumansMaleMiddle AgedPrevalenceRisk Factors

Identifiers

PMID41747081
PMCPMC12945344

What OpenQuestion holds

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LicenceCC BY
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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.