Evidence map›Paper›PMID 36631804›Full record

ArticleBMC neurology2023

Multimodal ultrasound-based carotid plaque risk biomarkers predict poor functional outcome in patients with ischemic stroke or TIA.

Linggang Cheng, Shuai Zheng, Jinghan Zhang, Fumin Wang, Xinyao Liu, Lin Zhang, Zhiguang Chen, Ye Cheng, Wei Zhang, Yi Li and 1 more

Open access · goldAbstract read
In one paragraph

Article in BMC neurology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
3.4field-weighted citation impact, top 8% of its field
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

14 citing papers in PubMed, 13 citations in OpenAlex.

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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 at 3 institutions in 1 country.

Linggang ChengDepartment of Ultrasound, Beijing Tiantan Hospital, Capital Medical University, No.119 South Fourth Ring West Road, Fengtai District, Beijing, 100160, China.
Shuai ZhengDepartment of Ultrasound, Beijing Tiantan Hospital, Capital Medical University, No.119 South Fourth Ring West Road, Fengtai District, Beijing, 100160, China.
Jinghan ZhangDepartment of Ultrasound, Beijing Tiantan Hospital, Capital Medical University, No.119 South Fourth Ring West Road, Fengtai District, Beijing, 100160, China.
Fumin WangDepartment of Ultrasound, Beijing Tiantan Hospital, Capital Medical University, No.119 South Fourth Ring West Road, Fengtai District, Beijing, 100160, China.
Xinyao LiuDepartment of Ultrasound, Beijing Tiantan Hospital, Capital Medical University, No.119 South Fourth Ring West Road, Fengtai District, Beijing, 100160, China.
Lin ZhangDepartment of Ultrasound, Beijing Tiantan Hospital, Capital Medical University, No.119 South Fourth Ring West Road, Fengtai District, Beijing, 100160, China.
Zhiguang ChenDepartment of Ultrasound, Beijing Tiantan Hospital, Capital Medical University, No.119 South Fourth Ring West Road, Fengtai District, Beijing, 100160, China.
Ye ChengGuang'anmen Hospital, Chinese Academy of traditional Chinese Medicine, Beijing, China.
Wei ZhangDepartment of Ultrasound, Beijing Tiantan Hospital, Capital Medical University, No.119 South Fourth Ring West Road, Fengtai District, Beijing, 100160, China.
Yi LiDepartment of Ultrasound, Beijing Tiantan Hospital, Capital Medical University, No.119 South Fourth Ring West Road, Fengtai District, Beijing, 100160, China. 973350100@qq.com.
Wen HeDepartment of Ultrasound, Beijing Tiantan Hospital, Capital Medical University, No.119 South Fourth Ring West Road, Fengtai District, Beijing, 100160, China. ttyyus@sina.com.
Beijing Tian Tan Hospital · CNCapital Medical University · CNGuang’anmen Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCarotid vulnerable plaque is an important risk factor for stroke occurrence and recurrence. However, the relationship between risk parameters related to carotid vulnerable plaque (plaque size, echogenicity, intraplaque neovascularization, and plaque stiffness) and neurological outcome after ischemic stroke or TIA is unclear. This study investigates the value of multimodal ultrasound-based carotid plaque risk biomarkers to predict poor short-term functional outcome after ischemic stroke or TIA.

methodsThis study was a single-center, prospective, continuous, cohort study to observe the occurrence of adverse functional outcomes (mRS 2-6/3-6) 90 days after ischemic stroke or TIA in patients, where the exposure factors in this study were carotid plaque ultrasound risk biomarkers and the risk factors were sex, age, disease history, and medication history. Patients with ischemic stroke or TIA (mRS ≤3) whose ipsilateral internal carotid artery stenosis was ≥50% within 30 days were included. All patients underwent multimodal ultrasound at baseline, including conventional ultrasound, superb microvascular imaging (SMI), and shear wave elastography (SWE). Continuous variables were divided into four groups at interquartile spacing for inclusion in univariate and multifactorial analyses. After completion of a baseline ultrasound, all patients were followed up at 90 days after ultrasound, and patient modified neurological function scores (mRSs) were recorded. Multivariate Cox regression and ROC curves were used to assess the risk factors and predictive power for predicting poor neurological function.

resultsSMI revealed that 20 (30.8%) patients showed extensive neovascularization in the carotid plaque, and 45 (69.2%) patients showed limited neovascularization in the carotid plaque. SWE imaging showed that the mean carotid plaque stiffness was 51.49 ± 18.34 kPa (23.19-111.39 kPa). After a mean follow-up of 90 ± 14 days, a total of 21 (32.3%) patients had a mRS of 2-6, and a total of 10 (15.4%) patients had a mRS of 3-6. Cox regression analysis showed that the level of intraplaque neovascularization and plaque stiffness were independent risk factors for a mRS of 2-6, and the level of intraplaque neovascularization was an independent risk factor for a mRS of 3-6. After correcting for confounders, the HR of intraplaque neovascularization level and plaque stiffness predicting a mRS 2-6 was 3.06 (95% CI 1.05-12.59, P = 0.041) and 0.51 (95% CI 0.31-0.83, P = 0.007), respectively; the HR of intraplaque neovascularization level predicting a mRS 3-6 was 6.11 (95% CI 1.19-31.45, P = 0.031). For ROC curve analysis, the mRSs for intraplaque neovascularization level, plaque stiffness, and combined application to predict 90-day neurological outcome ranged from 2 to 6, with AUCs of 0.73 (95% CI 0.59-0.87), 0.76 (95% CI 0.64-0.89) and 0.85 (95% CI 0.76-0.95), respectively. The mRSs for the intraplaque neovascularization level to predict 90-day neurological outcome ranged from 3 to 6, with AUCs of 0.79 (95% CI 0.63-0.95).

conclusionIntraplaque neovascularization level and plaque stiffness may be associated with an increased risk of poor short-term functional outcome after stroke in patients with recent anterior circulation ischemic stroke due to carotid atherosclerosis. The combined application of multiple parameters has efficacy in predicting poor short-term functional outcome after stroke.

Indexed as

Carotid StenosisIschemic Attack, TransientIschemic StrokePlaque, AtheroscleroticStrokeBiomarkersCarotid ArteriesCohort StudiesHumansProspective StudiesRisk FactorsUltrasonographyBiomarkersCarotid plaqueMultimodal ultrasoundShear wave elastographyStrokeSuperb microvascular imaging

Identifiers

PMID36631804
PMCPMC9835263
OpenAlexW4315754331

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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.