Evidence map›Paper›PMID 37560571›Full record

ArticleSurgical neurology international2023

Visual-evoked potential predicts the efficacy of the optical canal decompression for traumatic optic nerve neuropathy showing blindness: A case report.

Yusuke Otsu, Satoru Komaki, Nobuyuki Takeshige, Kiyohiko Sakata, Motohiro Morioka

Open access · hybridAbstract readCase Reports
In one paragraph

Article in Surgical neurology international, 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, top 82% 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

1 citing paper in PubMed, 0 citations in OpenAlex.

  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

5 authors at 1 institution in 1 country.

Yusuke OtsuDepartment of Neurosurgery, Kurume University School of Medicine, Kurume City, Japan.
Satoru KomakiDepartment of Neurosurgery, Kurume University School of Medicine, Kurume City, Japan.
Nobuyuki TakeshigeDepartment of Neurosurgery, Kurume University School of Medicine, Kurume City, Japan.
Kiyohiko SakataDepartment of Neurosurgery, Kurume University School of Medicine, Kurume City, Japan.
Motohiro MoriokaDepartment of Neurosurgery, Kurume University School of Medicine, Kurume City, Japan.
Kurume University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The indication for surgical optic canal decompression (OCD) for traumatic optic neuropathy (TON) remains controversial because there is no reliable predictor of a good outcome. We report the case of a blind patient with TON whose remaining visual-evoked potential (VEP) suggested recovery potential of the injured optic nerve after OCD. Case Description: A 48-year-old man had fallen from a height of 7 m, striking his head. He immediately complained of right-eye blindness. He had no light perception and the direct light reflex disappeared from the right pupil, although there was no fracture or traumatic lesion on computed tomography and magnetic resonance imaging. Because the amplitude of the VEP with the right eye stimulation remained unchanged, we performed the right OCD. During surgical OCD, the amplitude and latency of VEP began to improve. Finally, the visual field improved in almost all directions, and eyesight improved to 0.2. Conclusion: The retained VEP activity in TON may suggest the recovery potential of the injured optic nerve, even in cases of blindness. It is possible that VEP is an indicator of aggressive treatment for TON such as OCD.

Indexed as

Optic canal decompressionTraumatic optic neuropathyVisual-evoked potential

Identifiers

PMID37560571
PMCPMC10408612
OpenAlexW4384342355

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LicenceCC BY-NC-SA
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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.