Evidence map›Paper›PMID 36238084›Full record

ReviewFrontiers in neuroscience2022

Anatomy imaging and hemodynamics research on the cerebral vein and venous sinus among individuals without cranial sinus and jugular vein diseases.

Lu Liu, Yan Wu, Kaiyuan Zhang, Ran Meng, Jiangang Duan, Chen Zhou, Xunming Ji

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in neuroscience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.1field-weighted citation impact, top 21% 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

9 citing papers in PubMed, 10 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

7 authors at 2 institutions in 1 country.

Lu LiuDepartment of Neurology, Xuanwu Hospital of Capital Medical University, Beijing, China.
Yan WuDepartment of Emergency, Xuanwu Hospital of Capital Medical University, Beijing, China.
Kaiyuan ZhangDepartment of Radiology, Xuanwu Hospital of Capital Medical University, Beijing, China.
Ran MengDepartment of Neurology, Xuanwu Hospital of Capital Medical University, Beijing, China.
Jiangang DuanDepartment of Neurology, Xuanwu Hospital of Capital Medical University, Beijing, China.
Chen ZhouDepartment of Neurology, Xuanwu Hospital of Capital Medical University, Beijing, China.
Xunming JiBeijing Institute for Brain Disorders, Capital Medical University, Beijing, China.
Capital Medical University · CNChinese Institute for Brain Research · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In recent years, imaging technology has allowed the visualization of intracranial and extracranial vascular systems. However, compared with the cerebral arterial system, the relative lack of image information, individual differences in the anatomy of the cerebral veins and venous sinuses, and several unique structures often cause neurologists and radiologists to miss or over-diagnose. This increases the difficulty of the clinical diagnosis and treatment of cerebral venous system diseases. This review focuses on applying different imaging methods to the normal anatomical morphology of the cerebral venous system and special structural and physiological parameters, such as hemodynamics, in people without cranial sinus and jugular vein diseases and explores its clinical significance. We hope this study will reinforce the importance of studying the cerebral venous system anatomy and imaging data and will help diagnose and treat systemic diseases.

Indexed as

arachnoid granulationscerebral hemodynamicscerebral veincerebral venous sinusimaging

Identifiers

PMID36238084
PMCPMC9551167
OpenAlexW4297394954

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.