Evidence map›Paper›PMID 40127486›Full record

ArticleJournal of neurosurgery. Case lessons2025

Cavernous malformations of the optic nerve and chiasm: illustrative case.

Xiaochun Zhao, Jennifer Ho, Vy Nguyen, Sherwin A Tavakol, Ian F Dunn

Abstract read
In one paragraph

Article in Journal of neurosurgery. Case lessons, 2025. 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
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.

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

5 authors.

Xiaochun ZhaoDepartment of Neurosurgery, University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma.
Jennifer HoDepartment of Neurosurgery, University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma.
Vy NguyenDepartment of Neurosurgery, University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma.
Sherwin A TavakolDepartment of Neurosurgery, University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma.
Ian F DunnDepartment of Neurosurgery, University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCavernous malformations (CMs) of the optic pathway are rare. In this report, the authors describe a case of a CM affecting bilateral optic nerves that was managed surgically. Additionally, they provide an updated review of the literature focused on the clinical presentation, management, and postoperative outcomes related to this uncommon pathology. OBSERVATIONS: A total of 99 cases have been described in the literature, including the case reported. The patient presented with headache, encephalopathy, and bitemporal hemianopia. He was found to have an optic pathway CM and underwent resection of the lesion via a frontotemporal craniotomy. Based on a literature review, the most common presenting symptoms are visual decline and nonspecific headache. Most optic pathway CMs are managed surgically, with improvement in vision seen 66% of the time. LESSONS: CMs of the optic pathway most often present with clinical manifestations of vision loss and headaches. They are difficult to diagnose and can commonly be confused with other hemorrhagic lesions in this region. With a high index of suspicion guided by the clinical and imaging features, one can narrow the differential to include CM. Surgery remains the primary modality of management when symptomatic, similar to intraparenchymal CMs. https://thejns.org/doi/10.3171/CASE24742.

Indexed as

case reportcavernous malformationfrontotemporal craniotomyoptic chiasmoptic pathway

Identifiers

PMID40127486
PMCPMC11933668

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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.