Evidence map›Paper›PMID 31901124›Full record

ArticleNeurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology2020

The role of carotid stenosis ultrasound scale in the prediction of ischemic stroke.

Yi Tang, Ming-Yu Wang, Tao-Tao Wu, Jian-Yu Zhang, Ru Yang, Bo Zhang, Ying Shi, Pin Meng, Niu Ji, Yongan Sun and 12 more

Abstract read
In one paragraph

Article in Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Carotid arteries in cerebral small vessel disease and dementia.Acta neuropathologica communications · 2026
    Article
  2. Article
  3. Article
  4. Article
  5. Review
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

22 authors.

Yi TangDepartment of Neurology, The Lianyungang Hospital Affiliated to Xuzhou Medical University, 182 Tongguan North Road, Lianyungang, 222002, Jiangsu, China.
Ming-Yu WangThe Vascular Ultrasound Department, The Lianyungang Hospital Affiliated to Xuzhou Medical University, Lianyungang, Jiangsu, China.
Tao-Tao WuDepartment of Neurology, The Lianyungang Hospital Affiliated to Xuzhou Medical University, 182 Tongguan North Road, Lianyungang, 222002, Jiangsu, China.
Jian-Yu ZhangDepartment of Neurology, The Lianyungang Hospital Affiliated to Xuzhou Medical University, 182 Tongguan North Road, Lianyungang, 222002, Jiangsu, China.
Ru YangThe Vascular Ultrasound Department, The Lianyungang Hospital Affiliated to Xuzhou Medical University, Lianyungang, Jiangsu, China.
Bo ZhangThe Radiology Department, The Lianyungang Hospital Affiliated to Xuzhou Medical University, Lianyungang, Jiangsu, China.
Ying ShiDepartment of Neurology, The Lianyungang Hospital Affiliated to Xuzhou Medical University, 182 Tongguan North Road, Lianyungang, 222002, Jiangsu, China.
Pin MengDepartment of Neurology, The Lianyungang Hospital Affiliated to Xuzhou Medical University, 182 Tongguan North Road, Lianyungang, 222002, Jiangsu, China.
Niu JiThe Radiology Department, The Lianyungang Hospital Affiliated to Xuzhou Medical University, Lianyungang, Jiangsu, China.
Yongan SunDepartment of Neurology, The Lianyungang Hospital Affiliated to Xuzhou Medical University, 182 Tongguan North Road, Lianyungang, 222002, Jiangsu, China.
Ying-da XuDepartment of Neurology, The Lianyungang Hospital Affiliated to Xuzhou Medical University, 182 Tongguan North Road, Lianyungang, 222002, Jiangsu, China.
Bing-Chao XuDepartment of Neurology, The Lianyungang Hospital Affiliated to Xuzhou Medical University, 182 Tongguan North Road, Lianyungang, 222002, Jiangsu, China.
Xin-Yu ZhouDepartment of Neurology, The Lianyungang Hospital Affiliated to Xuzhou Medical University, 182 Tongguan North Road, Lianyungang, 222002, Jiangsu, China.
Xiao-Bing HeDepartment of Neurology, The Lianyungang Hospital Affiliated to Xuzhou Medical University, 182 Tongguan North Road, Lianyungang, 222002, Jiangsu, China.
Guang-Hui ZhangDepartment of Neurology, The Lianyungang Hospital Affiliated to Xuzhou Medical University, 182 Tongguan North Road, Lianyungang, 222002, Jiangsu, China.
Xiao-Qin NiuDepartment of Neurology, The Lianyungang Hospital Affiliated to Xuzhou Medical University, 182 Tongguan North Road, Lianyungang, 222002, Jiangsu, China.
Zai-Po LiDepartment of Neurology, The Lianyungang Hospital Affiliated to Xuzhou Medical University, 182 Tongguan North Road, Lianyungang, 222002, Jiangsu, China.
Bei WangDepartment of Neurology, The Lianyungang Hospital Affiliated to Xuzhou Medical University, 182 Tongguan North Road, Lianyungang, 222002, Jiangsu, China.
Bei XuDepartment of Neurology, The Lianyungang Hospital Affiliated to Xuzhou Medical University, 182 Tongguan North Road, Lianyungang, 222002, Jiangsu, China.
Zeng-Lin CaiDepartment of Neurology, The Lianyungang Hospital Affiliated to Xuzhou Medical University, 182 Tongguan North Road, Lianyungang, 222002, Jiangsu, China.
Yong-Jin ZhangDepartment of Neurology, The Lianyungang Hospital Affiliated to Xuzhou Medical University, 182 Tongguan North Road, Lianyungang, 222002, Jiangsu, China.
Ming-Li HeDepartment of Neurology, The Lianyungang Hospital Affiliated to Xuzhou Medical University, 182 Tongguan North Road, Lianyungang, 222002, Jiangsu, China. lyghml@163.com.ORCID http://orcid.org/0000-0002-1772-8183

Funding

Jiangsu Science and Technology Department BL2014062National Natural Science Foundation of China 81970348
6 · The paper itself

Abstract

introductionTo improve the accuracy of ultrasound techniques for the assessment of carotid stenosis, we designed a novel carotid artery stenosis ultrasound scale (CASUS), and evaluated its accuracy, reliability, and its value in predicting the occurrence of cardiovascular and cerebrovascular diseases in a prospective study.

methodsA total of 750 patients with first-time ischemic stroke and hospitalized within 24 h were enrolled in the study. Using color Doppler ultrasound (CDUS), the degree of stenosis and blood flow (BF) in bilateral internal carotid arteries (ICA) and the V1-V3 segment of vertebral arteries (VA) was assessed. Cubic simulation curves for BF and global blood flow (GBF) over the stenosis score (SS), total stenosis score (TSS), and radiological imaging- total stenosis score (RI-TSS) were fitted and compared. The receiver operating characteristic (ROC) curves using TSS, RI-TSS, or GBF to predict various ischemic stroke endpoints were also analyzed and compared.

resultsThere was a linear relationship between SS and BF both ICA and VA (R2 were 0.734 and 0.783, respectively, both P < 0.05). Both TSS and RI-TSS with GBF showed an inverse "S" curve relationship (R2 was 0.839 and 0.843, all P < 0.05). The AUC values of TSS-based and RI-TSS-based predictions of each endpoint were all greater than 0.7 (all P < 0.05), but the differences of the AUC values between TSS, RI-TSS, and GBF were not statistically significant (all P > 0.05).

conclusionsThe novel CASUS can better reflect the level of cerebral reperfusion in patients with ischemic stroke and can better predict the occurrence of cardiovascular and cerebrovascular diseases.

Indexed as

Ultrasonography, DopplerAgedCarotid Artery, InternalCarotid StenosisFemaleHumansIschemic StrokeMaleMiddle AgedProspective StudiesSensitivity and SpecificityVertebral ArteryBrain ischemicCarotid stenosisCerebral blood flowNeuroimagingUltrasound

Identifiers

PMID31901124
PMCPMC7196942

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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.