Evidence map›Paper›PMID 41888728›Full record

ArticleBMC medical imaging2026

Study on the correlation between carotid plaque calcification types and the recurrence of ischemic stroke.

Tianyu Chu, Yonggang Zhang, Yingqi Gao, Yin Liu, Yinan Zhao, Yan Gu

Abstract read
In one paragraph

Article in BMC medical imaging, 2026. 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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1 · What the graph read from it

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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

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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

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Tianyu ChuDepartment of Radiology, Lianyungang Clinical College of Nanjing Medical University, Lianyungang, 222000, China.
Yonggang ZhangDepartment of Radiology, Lianyungang Clinical College of Nanjing Medical University, Lianyungang, 222000, China.
Yingqi GaoDepartment of Radiology, Lianyungang Clinical College of Nanjing Medical University, Lianyungang, 222000, China.
Yin LiuDepartment of Radiology, Lianyungang Clinical College of Nanjing Medical University, Lianyungang, 222000, China.
Yinan ZhaoDepartment of Radiology, Lianyungang Clinical College of Nanjing Medical University, Lianyungang, 222000, China.
Yan GuDepartment of Radiology, Lianyungang Clinical College of Nanjing Medical University, Lianyungang, 222000, China. guyan2020@njmu.edu.cn.

Funding

the Lianyungang City health Commission surface of State project foundation Grant No.202204
6 · The paper itself

Abstract

objectiveTo investigate the correlation between carotid plaque calcification types and recurrent stroke using computed tomography angiography (CTA). Additionally, a conjoint analysis was conducted to explore the physical activity, appetite, sleep, and mood of the patients as variables, to provide a novel reference for the clinical treatment and management of ischemic stroke.

methodPatients who underwent head and neck CTA scans and were diagnosed with unilateral or bilateral carotid plaques with stenosis < 70% at the First People’s Hospital of Lianyungang from September 2022 to August 2023 were enrolled in this study. They underwent 2 to 3 years of follow-up. Patients meeting the inclusion criteria were classified into 1 to 6 types based on plaque calcification characteristics, to analyze differences in recurrent stroke between these types.

resultsUsing the eligibility criteria, 346 patients with carotid plaque were included. In the clinical baseline data, no significant differences were observed between the recurrent and the non-recurrent stroke groups. Spearman’s correlation analysis showed significant associations between plaque calcification types and recurrent stroke (p < 0.001). Subsequently, Cox proportional hazards model analysis further demonstrated a significant correlation between plaque calcification types and clinical endpoint (HR: 1.149,95% CI: 1.059–1.247, p < 0.001). Even after adjusting for sleep, appetite, physical activity, and mood of the patients, the plaque calcification types remained significantly associated with the clinical endpoint (HR: 1.128,95% CI: 1.037–1.226, p = 0.005).

conclusionThis study indicates a correlation between carotid plaque calcification types and the recurrence of stroke. These findings provide a novel approach to reviewing carotid atherosclerotic plaque calcification and further imaging-based evidence for the risk assessment of recurrent ischemic stroke.

Indexed as

Carotid StenosisIschemic StrokePlaque, AtheroscleroticAgedComputed Tomography AngiographyFemaleHumansMaleMiddle AgedRecurrenceRisk FactorsAtherosclerosisCalcified plaqueCarotid plaqueRecurrent stroke

Identifiers

PMID41888728
PMCPMC13141580

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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.