Evidence map›Paper›PMID 36221122›Full record

ArticleChinese neurosurgical journal2022

Ultrasound parameters associated with stroke in patients with moyamoya disease: a logistic regression analysis.

Shuai Zheng, Fumin Wang, Linggang Cheng, Rui Li, Dong Zhang, Wen He, Wei Zhang

Open access · diamondAbstract read
In one paragraph

Article in Chinese neurosurgical journal, 2022. 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
0.5field-weighted citation impact, top 33% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  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

7 authors at 2 institutions in 1 country.

Shuai ZhengDepartment of Ultrasound, Beijing Tiantan Hospital, Capital Medical University, No. 119, West Road of South Fourth Ring, Fengtai District, Beijing, 100070, People's Republic of China.
Fumin WangDepartment of Ultrasound, Peking University First Hospital, No. 8, Xishiku street, Xicheng District, Beijing, 100034, People's Republic of China.
Linggang ChengDepartment of Ultrasound, Beijing Tiantan Hospital, Capital Medical University, No. 119, West Road of South Fourth Ring, Fengtai District, Beijing, 100070, People's Republic of China.
Rui LiDepartment of Ultrasound, Beijing Tiantan Hospital, Capital Medical University, No. 119, West Road of South Fourth Ring, Fengtai District, Beijing, 100070, People's Republic of China.
Dong ZhangDepartment of Neurosurgery, Beijing Hospital, No.1, Dahua Road, Dongdan, Dongcheng District, Beijing, 100730, People's Republic of China.
Wen HeDepartment of Ultrasound, Beijing Tiantan Hospital, Capital Medical University, No. 119, West Road of South Fourth Ring, Fengtai District, Beijing, 100070, People's Republic of China. hewen@bjtth.org.
Wei ZhangDepartment of Ultrasound, Beijing Tiantan Hospital, Capital Medical University, No. 119, West Road of South Fourth Ring, Fengtai District, Beijing, 100070, People's Republic of China. ultrazhangwei@126.com.ORCID http://orcid.org/0000-0002-9743-1063
Capital Medical University · CNPeking University · CN

Funding

State Key Program of National Natural Science of China 81730050
6 · The paper itself

Abstract

backgroundMoyamoya disease can lead to stroke with devastating consequences, it is necessary to find a non-invasive and effective approach to identify the occurrence of stroke. In this study, we aim to analyze the association between ultrasound parameters and ipsilateral cerebral hemisphere stroke in patients with moyamoya disease by logistic regression analysis.

methodsIn this retrospective case-control study, 88 patients with MMD (153 cerebral hemispheres) hospitalized in Beijing Tiantan Hospital, Capital Medical University from November 2020 to October 2021 were analyzed. According to the occurrence of stroke, the 153 cerebral hemispheres were divided into a stroke group and a non-stroke group. Clinical data and ultrasound parameters of the ipsilateral internal carotid artery, superficial temporal artery, maxillary artery, and posterior cerebral artery were recorded. The ultrasound parameters were divided into four groups according to interquartile range, and then they were compared between the stroke group and the non-stroke group. Those with significant differences were scored by multivariate logistic regression analysis.

resultsThere were 75 cerebral hemispheres (49.0%) in the stroke group and 78 cerebral hemispheres (51.0%) in the non-stroke group. Logistic regression analysis showed that the internal diameter of the internal carotid artery, peak systolic velocity of the internal carotid artery and peak systolic velocity of the posterior cerebral artery were independently correlated factors for stroke in patients with MMD. The fourth quartile group of the above three ultrasound parameters was taken as the reference group, and the odds ratio of the first quartile group were 11.679 (95% CI 2.918-46.749, P = 0.001), 19.594 (95% CI 4.973-77.193, P < 0.001), and 11.657 (95% CI 3.221-42.186, P < 0.001), respectively.

conclusionUltrasound parameters are independently correlated with ipsilateral cerebral stroke in patients with MMD. Ultrasound provides a new way to identify stroke in MMD patients. Future prospective cohort studies are needed to verify the clinical value of ultrasound in identifying patients with MMD at high risk of stroke.

Indexed as

Internal carotid arteryMoyamoya diseasePosterior cerebral arteryStrokeUltrasound

Identifiers

PMID36221122
PMCPMC9555074
OpenAlexW4304190266

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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.