Evidence map›Paper›PMID 33108602›Full record

ReviewActa neurologica Belgica2021

Endovascular treatment for aneurysms at the A1 segment of the anterior cerebral artery: current difficulties and solutions.

Kun Hou, Guichen Li, Yunbao Guo, Jinlu Yu

Abstract readReview
PubMed Publisher
In one paragraph

Review in Acta neurologica Belgica, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
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  5. Review
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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

4 authors.

Kun Hou *Department of Neurosurgery, The First Hospital of Jilin University, 1 Xinmin Avenue, Changchun, 130021, China.ORCID http://orcid.org/0000-0001-7112-7883
Guichen Li *Department of Neurology, The First Hospital of Jilin University, Changchun, 130021, China.
Yunbao GuoDepartment of Neurosurgery, The First Hospital of Jilin University, 1 Xinmin Avenue, Changchun, 130021, China.
Jinlu YuDepartment of Neurosurgery, The First Hospital of Jilin University, 1 Xinmin Avenue, Changchun, 130021, China. jlyu@jlu.edu.cn.ORCID http://orcid.org/0000-0003-2329-7946

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aneurysms located at the A1 segment of the anterior cerebral artery are considered rare and unique entities. Endovascular treatment (EVT) is effective in preventing aneurysmal bleeding. However, EVT for A1 aneurysms is difficult due to their distinctive configurations. A current review of EVT for A1 aneurysms is lacking. Therefore, we focused on the available literature on this specific issue. To more clearly expound this entity, we also provided some illustrative cases. The A1 segment can be equally divided into the proximal, middle, and distal segments. Proximal aneurysms are most common and difficult to treat via EVT. The A1 segment has a complex anatomy and many important branches. Due to the small size, predominant posterior direction, and sharp upturn of the microcatheter from the parent artery, microcatheter positioning and support is difficult for A1 aneurysms. EVT for A1 aneurysms mainly includes reconstructive and deconstructive strategies. The complications of EVT for A1 aneurysms include aneurysmal perforation, thromboembolic events, and coil protrusion related to stent-assisted embolization. A1 aneurysms represent rare and difficult vascular lesions. EVT is quite challenging for A1 aneurysms due to their distinctive configurations. The outcomes are acceptable.

Indexed as

Anterior Cerebral ArteryCerebral AngiographyEndovascular ProceduresHumansIntracranial AneurysmTreatment OutcomeA1 segmentAneurysmAnterior cerebral arteryEndovascular treatmentReview

Identifiers

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Registered trials

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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.