Evidence map›Paper›PMID 35855287›Full record

ArticleJournal of neurosurgery. Case lessons2021

Treatment strategy for multisegmental cervicomedullary ependymoma: illustrative case.

Andrei A Zrelov, Malik M Tastanbekov, Mikhail V Alexandrov, Anastasiia S Nechaeva, Olga A Toporkova, Olga M Vorobeva, Konstantin A Samochernykh

Open access · hybridAbstract readCase Reports
In one paragraph

Article in Journal of neurosurgery. Case lessons, 2021. 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 74% 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, 0 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

7 authors.

Andrei A ZrelovDepartments of Fourth Neurosurgery.
Malik M TastanbekovDepartments of Fourth Neurosurgery.
Mikhail V AlexandrovClinical Neurophysiology, and.
Anastasiia S NechaevaDepartments of Fourth Neurosurgery.
Olga A ToporkovaClinical Neurophysiology, and.
Olga M VorobevaPathomorphology, Polenov Neurosurgical Research Institute, branch of the Almazov National Medical Research Center, St. Petersburg, Russia.
Konstantin A SamochernykhDepartments of Fourth Neurosurgery.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundСervicomedullary ependymoma (CME) is a rare tumor of the central nervous system. The CME treatment strategy is insufficiently represented in the literature and is a complex task for neurosurgeons. OBSERVATIONS: The authors describe an infrequent case of a large multisegmental CME that extended from the medulla oblongata to the cervical spinal cord at the level of the sixth cervical vertebra in a 21-year-old female. Neurological disorders presented with headache, dysphagia, hypophonia, and weakness in the limbs. Subtotal removal of the tumor was performed according to intraoperative neurophysiological monitoring (IONM) results. A wait-and-see approach with patient follow-up was chosen. LESSONS: Total tumor removal of the CME is the most important favorable prognostic factor. Subtotal resection can be considered if the borders of the tumor are unclear and the result of IONM is unfavorable. The role of postoperative radiation therapy in the case of subtotal removal of the tumor remains controversial.

Indexed as

cervicomedullaryCME = cervicomedullary ependymomaependymomaintramedullaryIONM = intraoperative neurophysiological monitoringmedulla oblongataMRI = magnetic resonance imagingSSEP = somatosensory evoked potentialsсervical spinal cord

Identifiers

PMID35855287
PMCPMC9281462
OpenAlexW4200621899

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

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.