Evidence map›Paper›PMID 27510391›Full record

ArticleJournal of Korean medical science2016

Ten Triangles around Cavernous Sinus for Surgical Approach, Described by Schematic Diagram and Three Dimensional Models with the Sectioned Images.

Beom Sun Chung, Young Hwan Ahn, Jin Seo Park

Abstract read
In one paragraph

Article in Journal of Korean medical science, 2016. 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.

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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

3 authors.

Beom Sun ChungDepartment of Anatomy, Ajou University School of Medicine, Suwon, Korea.ORCID http://orcid.org/0000-0002-3644-9120
Young Hwan AhnDepartment of Neurosurgery, Ajou University School of Medicine, Suwon, Korea.ORCID http://orcid.org/0000-0001-9920-1846
Jin Seo ParkDepartment of Anatomy, Dongguk University School of Medicine, Gyeongju, Korea. park93@dongguk.ac.kr.ORCID http://orcid.org/0000-0001-7956-4148

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

For the surgical approach to lesions around the cavernous sinus (CS), triangular spaces around CS have been devised. However, educational materials for learning the triangles were insufficient. The purpose of this study is to present educational materials about the triangles, consisting of a schematic diagram and 3-dimensional (3D) models with sectioned images. To achieve the purposes, other studies were analyzed to establish new definitions and names of the triangular spaces. Learning materials including schematic diagrams and 3D models with cadaver's sectioned images were manufactured. Our new definition was attested by observing the sectioned images and 3D models. The triangles and the four representative surgical approaches were stereoscopically indicated on the 3D models. All materials of this study were put into Portable Document Format file and were distributed freely at our homepage (anatomy.dongguk.ac.kr/triangles). By using our schematic diagram and the 3D models with sectioned images, ten triangles and the related structures could be understood and observed accurately. We expect that our data will contribute to anatomy education, surgery training, and radiologic understanding of the triangles and related structures.

Indexed as

Models, AnatomicCadaverCavernous SinusDatabases, FactualHumansImage Processing, Computer-AssistedImaging, Three-DimensionalInternetUser-Computer InterfaceCavernous SinusCross Sectional AnatomyInternal Carotid ArteryMicrosurgeryNeuroanatomyThree-dimensional Imaging

Identifiers

PMID27510391
PMCPMC4974189

What OpenQuestion holds

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LicenceCC BY-NC
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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.