Evidence map›Paper›PMID 28194304›Full record

ArticleSurgical neurology international2016

Volumetric growth analysis of an insular dysembryoplastic neuroepithelial tumor over a 10-year follow-up.

Takehiro Uno, Masashi Kinoshita, Takuya Furuta, Katsuyoshi Miyashita, Hemragul Sabit, Mitsutoshi Nakada

Open access · hybridAbstract readCase Reports
In one paragraph

Article in Surgical neurology international, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 81% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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 at 1 institution in 1 country.

Takehiro UnoDepartment of Neurosurgery, Graduate School of Medical Science, Kanazawa University, Kanazawa, Ishikawa, Japan.
Masashi KinoshitaDepartment of Neurosurgery, Graduate School of Medical Science, Kanazawa University, Kanazawa, Ishikawa, Japan.
Takuya FurutaDepartment of Neurosurgery, Graduate School of Medical Science, Kanazawa University, Kanazawa, Ishikawa, Japan.
Katsuyoshi MiyashitaDepartment of Neurosurgery, Graduate School of Medical Science, Kanazawa University, Kanazawa, Ishikawa, Japan.
Hemragul SabitDepartment of Neurosurgery, Graduate School of Medical Science, Kanazawa University, Kanazawa, Ishikawa, Japan.
Mitsutoshi NakadaDepartment of Neurosurgery, Graduate School of Medical Science, Kanazawa University, Kanazawa, Ishikawa, Japan.
Kanazawa University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDysembryoplastic neuroepithelial tumors (DNETs) are benign tumors characterized by a cortical location; they result in symptoms of drug-resistant partial seizures in children. The development of DNETs is poorly understood because most of them are resected immediately upon diagnosis without any observation period owing to the intractable seizures. CASE DESCRIPTION: We report the first DNET case with the growth rate analyzed in the natural course of development for a period of 10 years. The patient was a right-handed man who was initially referred to another hospital with mild head injury when he was 8 years old. A tumor located in the right insular cortex was incidentally detected on magnetic resonance imaging (MRI) and followed-up with annual MRI for 10 years.

conclusionIn this case, the volume of the DNET increased in direct proportion to the length of time in its clinical course. The tumor doubling time was approximately 10 years. This case suggests DNET is a slow-growing but not stable tumor.

Indexed as

Dysembryoplastic neuroepithelial tumorgrowth analysisinsular

Identifiers

PMID28194304
PMCPMC5299148
OpenAlexW2565612244

What OpenQuestion holds

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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.