Evidence map›Paper›PMID 35068816›Full record

ReviewJournal of craniovertebral junction & spine

Primary extradural tumors of the spinal column: A comprehensive treatment guide for the spine surgeon based on the 5

Varun Arvind, Edin Nevzati, Maged Ghaly, Mansoor Nasim, Mazda Farshad, Roman Guggenberger, Daniel Sciubba, Alexander Spiessberger

Abstract readReview
In one paragraph

Review in Journal of craniovertebral junction & spine. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Minimally invasive paramedian transmuscular approach for intracanal tumors: case series, microsurgical technique and outcomes.European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society · 2026
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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

8 authors.

Varun ArvindDepartment of Orthopedic Surgery, Icahn School of Medicine - The Mount Sinai Hospital, New York, USA.
Edin NevzatiDepartment of Neurosurgery, Cantonal Hospital Lucerne, Lucerne, Switzerland.
Maged GhalyDepartment of Radiation Oncology, North Shore University Hospital, Manhasset, USA.
Mansoor NasimDepartment of Pathology, North Shore University Hospital, Manhasset, USA.
Mazda FarshadDepartment of Orthopedics, Balgrist University Hospital, Zurich, Switzerland.
Roman GuggenbergerDepartment of Radiology, University Hospital Zurich, Zurich, Switzerland.
Daniel SciubbaDepartment of Neurosurgery, North Shore University Hospital, Manhasset, USA.
Alexander SpiessbergerDepartment of Neurosurgery, North Shore University Hospital, Manhasset, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn 2020, the World Health Organization (WHO) published the 5

methodsAll tumor entities were extracted from the WHO Soft-Tissue and Bone Tumor Classification (5

resultsOut of 163 primary tumor entities of bone and soft tissue, 92 lesions have been reported along the spinal axis. Of these 92 entities, 54 have the potential to metastasize. The peak age ranges from conatal lesions to 72 years. For each tumor entity, we present recommended surgical treatment strategies based on the ability to locally destruct tissue, to grow, recur after resection, undergo malignant transformation as well as survival rates. In addition, potential systemic treatment recommendations for each tumor entity are outlined.

conclusionBased on the 5

Indexed as

Chordomaprimary spinal tumorssarcoma

Identifiers

PMID35068816
PMCPMC8740815

What OpenQuestion holds

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LicenceCC BY-NC-SA
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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.