Evidence map›Paper›PMID 40164000›Full record

ArticleJournal of neurosurgery. Case lessons2025

Giant pediatric brainstem cavernoma: illustrative case.

Andrew L DeGroot, Randall W Treffy, Omar Hussain, Peter Palmer, Elsa Arocho-Quinones, Hirad Hedayat

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

6 authors.

Andrew L DeGrootDepartment of Surgery, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin.
Randall W TreffyDepartment of Neurosurgery, Medical College of Wisconsin, Milwaukee, Wisconsin.
Omar HussainDepartment of Neurosurgery, Medical College of Wisconsin, Milwaukee, Wisconsin.ORCID 0000-0003-0322-3093
Peter PalmerDepartment of Neurosurgery, Medical College of Wisconsin, Milwaukee, Wisconsin.
Elsa Arocho-QuinonesDepartment of Neurosurgery, Medical College of Wisconsin, Milwaukee, Wisconsin.
Hirad HedayatDepartment of Neurosurgery, Medical College of Wisconsin, Milwaukee, Wisconsin.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCerebral cavernous malformations are low-flow vascular lesions and the most common of all vascular pathologies encountered by neurosurgeons. The location of these lesions is critically important in determining the symptomatology and whether intervention is indicated. Cavernous malformations localized to the brainstem are often the most complex of these to manage given the density of critical structures and tracts found within the brainstem. OBSERVATIONS: Here, the authors present the case of a 3-year-old male who presented with hemiparesis and eventually developed hydrocephalus from a giant brainstem cavernous malformation. The patient initially did well on steroids but had a recurrent hemorrhage that led to worsening hemiparesis and hydrocephalus. The authors then elected to resect the cavernous malformation via a supracerebellar infratentorial approach utilizing intraoperative MRI to ensure complete resection. Postoperatively, the patient returned to near baseline neurological function. LESSONS: The authors describe an uncommon approach to the management of a pediatric patient with a giant brainstem cavernous malformation by carefully examining the potential approaches and utilizing available technologies to ensure an excellent outcome for the patient. https://thejns.org/doi/10.3171/CASE24814.

Indexed as

brainstem cavernomabrainstem cavernous malformationpediatric cavernomasupracerebellar infratentorial approach

Identifiers

PMID40164000
PMCPMC11959640

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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.