Evidence map›Paper›PMID 37904904›Full record

ArticleInternational journal of general medicine2023

Development and Validation of a Clinical-Based Severity Scale for Patients with Cerebral Venous Thrombosis.

Min Li, Shuling Wan, Nanbu Wang, Jiahao Chen, Jiangang Duan, Jian Chen, Xuxiang Zhang, Ran Meng, Xunming Ji

Open access · goldAbstract read
In one paragraph

Article in International journal of general medicine, 2023. 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, top 70% of its field
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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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, 0 citations in OpenAlex.

  1. 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

9 authors at 3 institutions in 1 country.

Min Li *Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, People's Republic of China.
Shuling Wan *Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, People's Republic of China.
Nanbu WangDepartment of Neurology, The First Affiliated Hospital, Guangzhou University of Chinese Medicine, Guangzhou, People's Republic of China.
Jiahao ChenDepartment of Neurobiology, School of Basic Medical Sciences, Capital Medical University, Beijing, People's Republic of China.
Jiangang DuanDepartment of Emergency, Xuanwu Hospital, Capital Medical University, Beijing, People's Republic of China.
Jian ChenDepartment of Neurosurgery, Xuanwu Hospital, Capital Medical University, Beijing, People's Republic of China.
Xuxiang ZhangDepartment of Ophthalmology, Xuanwu Hospital, Capital Medical University, Beijing, People's Republic of China.
Ran MengDepartment of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, People's Republic of China.
Xunming JiBeijing Institute for Brain Disorders, Capital Medical University, Beijing, People's Republic of China.
Capital Medical University · CNChinese Institute for Brain Research · CNFirst Affiliated Hospital of Guangzhou University of Chinese Medicine · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Cerebral venous thrombosis (CVT) is a rare subtype of stroke. However, existing scales were insufficient to evaluate the overall severity of CVT. The aim of this study is to develop and validate a CVT severity scale. Methods: Items 1-11 were directly derived from NIHSS. New items were generated from a literature review and focus group discussion. A total of 170 CVT patients were prospectively recruited from 26 top tertiary hospitals in China Mainland from January 2021 to May 2022 to validate the CVT severity scale. The CVT severity scale, NIHSS, mRS and GCS were rated at admission. The lumbar puncture opening pressure was also recorded. Twenty randomly selected CVT patients were rated with the CVT severity scale again 24 hours later. The clinical outcome of CVT was evaluated by mRS at 6 months after baseline. Results: We successfully established a CVT severity scale with 18 items. Exploratory factor analysis showed that 18 items were attributed to factor 1 (focal neurological deficits), factor 2 (diffuse encephalopathy), factor 3 (intracranial hypertension) and factor 4 (cavernous sinus syndrome). CVT severity scale was positively correlated with ICP, NIHSS and mRS, and negatively correlated with GCS at baseline. CVT severity scale >3 or factor 3 >2 indicated intracranial hypertension. CVT severity scale >10 indicated poor clinical outcome at 6 months of follow-up. Meanwhile, CVT severity scale showed high internal consistency and test-retest reliability. Conclusion: The CVT severity scale included 18 items encompassing 4 domains of focal neurological deficits, diffuse encephalopathy, IH and cavernous sinus syndrome. CVT severity scale correlated well with ICP, NIHSS, mRS and GCS. Patients with CVT severity scale >10 can be defined as severe CVT. The CVT severity scale may serve as a valid and reliable tool for measuring the overall severity of CVT.

Indexed as

cerebral venous thrombosisclinical manifestationsreliabilityseverity scalevalidity

Identifiers

PMID37904904
PMCPMC10613448
OpenAlexW4387940633

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