Evidence map›Paper›PMID 37759874›Full record

ArticleBrain sciences2023

Computer-Assisted Microcatheter Shaping for Intracranial Aneurysm Embolization.

Heng Yang, Liquan Xu, Yanjiang Li, Hanqiang Jiang, Wei Ni, Yuxiang Gu

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Brain sciences, 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
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.

  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

6 authors.

Heng YangDepartment of Neurosurgery, Huashan Hospital, Fudan University, Shanghai 200040, China.ORCID 0000-0002-3921-5872
Liquan XuDepartment of Neurosurgery, Huashan Hospital, Fudan University, Shanghai 200040, China.
Yanjiang LiDepartment of Neurosurgery, Huashan Hospital, Fudan University, Shanghai 200040, China.
Hanqiang JiangDepartment of Neurosurgery, Huashan Hospital, Fudan University, Shanghai 200040, China.
Wei NiDepartment of Neurosurgery, Huashan Hospital, Fudan University, Shanghai 200040, China.ORCID 0000-0002-9550-3430
Yuxiang GuDepartment of Neurosurgery, Huashan Hospital, Fudan University, Shanghai 200040, China.

Funding

National Natural Science Foundation of China 81500987, 817712374, 81801155, 81870917, and 82101397
6 · The paper itself

Abstract

backgroundThis study investigates the accuracy, stability, and safety of computer-assisted microcatheter shaping for intracranial aneurysm coiling.

methodsUsing the solid model, a microcatheter was shaped using computer-assisted techniques or manually to investigate the accuracy and delivery of microcatheter-shaping techniques in aneurysm embolization. Then, forty-eight patients were randomly assigned to the computer-assisted microcatheter-shaping (CAMS) group or the manual microcatheter-shaping (MMS) group, and the accuracy, stability, and safety of microcatheter in the patients were compared between the CAMS and MMS groups.

resultsThe speed of the successful microcatheter position was significantly faster in the CAMS group than in the MMS group (114.4 ± 23.99 s vs. 201.9 ± 24.54 s,

conclusionsComputer-assisted microcatheter shaping is a novel and safe method for microcatheter shaping that introduces higher accuracy in microcatheter shaping during the treatment of intracranial aneurysms. SIGNIFICANT: Endovascular coiling of intracranial aneurysms can be truly revolutionized through computer assistance, which could improve the endovascular treatment of aneurysms.

Indexed as

computer-assistedintracranial aneurysmmicrocatheter shaping

Identifiers

PMID37759874
PMCPMC10526415

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.