Evidence map›Paper›PMID 40235740›Full record

ArticleQuantitative imaging in medicine and surgery2025

Predictive value of change in percent calcified plaque burden based on serial coronary computed tomographic angiography for cardiovascular events.

Wei Wu, Xi-Xia Sun, Yao Pan, Ya-Qi Gao, Ya-Na Dou, Yue-Peng Zhang, Shuang Pan, Hao Wang, Zhao-Qian Wang, Chong-Fu Jia

Abstract read
In one paragraph

Article in Quantitative imaging in medicine and surgery, 2025. 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

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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

The trial behind it

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Wei Wu *Department of Cardiovascular Radiology, The First Affiliated Hospital of Dalian Medical University, Dalian, China.
Xi-Xia Sun *Department of Cardiovascular Radiology, The First Affiliated Hospital of Dalian Medical University, Dalian, China.
Yao PanDepartment of Cardiovascular Radiology, The First Affiliated Hospital of Dalian Medical University, Dalian, China.
Ya-Qi GaoDepartment of Cardiovascular Radiology, The First Affiliated Hospital of Dalian Medical University, Dalian, China.
Ya-Na DouSiemens Healthineers Ltd., Beijing, China.
Yue-Peng ZhangDepartment of Cardiovascular Radiology, The First Affiliated Hospital of Dalian Medical University, Dalian, China.
Shuang PanDepartment of Cardiovascular Radiology, The First Affiliated Hospital of Dalian Medical University, Dalian, China.
Hao WangDepartment of Cardiovascular Radiology, The First Affiliated Hospital of Dalian Medical University, Dalian, China.
Zhao-Qian WangDepartment of Cardiovascular Radiology, The First Affiliated Hospital of Dalian Medical University, Dalian, China.
Chong-Fu JiaDepartment of Cardiovascular Radiology, The First Affiliated Hospital of Dalian Medical University, Dalian, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Plaque progression is an independent risk factor for major adverse cardiovascular events (MACE), and change in the total plaque burden (PB) is a common indicator of plaque progression. However, the type of component (calcification or non-calcification) and the magnitude of changes cannot be determined. We aimed to analyze the capability of the percent calcified PB (PCPB) in reflecting the total and its noncalcified and calcified component PB change, and the predictive value of PCPB for MACE. Methods: Patients who received two or more coronary computed tomographic angiography (CCTA) examinations were included and were divided into MACE and non-MACE groups. The volumes of total plaque, subcomponents and vessel were measured in the serial CCTA. The segmental stenosis score (SSS), high-risk plaque (HRP), total and subcomponent PB, and their annual changes (△PB/year) were calculated. PCPB was calculated as (calcified PB/total PB) × 100%. Results: Totally 116 patients were enrolled in this study, including 26 (22.4%) patients with MACE. The △PCPB/year showed negative correlation with △total PB/year (r=-0.353, P<0.001), ∆noncalcified PB/year (r=-0.591, P<0.001), while positively correlated with △calcified PB/year (r=0.400, P<0.001). If the △PCPB/year covariate was not added, the baseline HRP, Framingham risk score (FRS), and △total PB/year were independent predictors of MACE. Otherwise, the HRP Conclusions: The △PCPB/year index simultaneously reflects changes of the total and its internal compositions PB. Moreover, our study shows the potential of △PCPB/year to predict MACE independently from the annual change of total PB.

Indexed as

adverse cardiovascular eventsatherosclerosisCoronary arteryserial coronary computed tomographic angiography (serial CCTA)

Identifiers

PMID40235740
PMCPMC11994485

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