Evidence map›Paper›PMID 37933451›Full record

ReviewThe neuroradiology journal2024

Cauda equina neuroendocrine tumors: A single institutional imaging review of cases over two decades.

Pranav Ajmera, Amit K Agarwal, Parv M Mehta, John C Benson, Ajay A Madhavan, Felix E Diehn, Neetu Soni, Girish Bathla

Open access · greenAbstract readReview
In one paragraph

Review in The neuroradiology journal, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.6field-weighted citation impact, top 28% 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

5 citing papers in PubMed, 2 citations in OpenAlex.

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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 at 2 institutions in 1 country.

Pranav AjmeraDepartment of Radiology, Mayo Clinic, Rochester, MN, USA.ORCID 0000-0001-8801-0235
Amit K AgarwalDepartment of Radiology, Mayo Clinic, Jacksonville, FL, USA.
Parv M MehtaDepartment of Radiology, Mayo Clinic, Rochester, MN, USA.
John C BensonDepartment of Radiology, Mayo Clinic, Rochester, MN, USA.ORCID 0000-0002-4038-5422
Ajay A MadhavanDepartment of Radiology, Mayo Clinic, Rochester, MN, USA.ORCID 0000-0003-1794-4502
Felix E DiehnDepartment of Radiology, Mayo Clinic, Rochester, MN, USA.
Neetu SoniDepartment of Radiology, Mayo Clinic, Jacksonville, FL, USA.
Girish BathlaDepartment of Radiology, Mayo Clinic, Rochester, MN, USA.ORCID 0000-0003-3170-242X
Mayo Clinic in Arizona · USWinnMed · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cauda Equina Neuroendocrine Tumors (CE-NET), previously referred to as paragangliomas are a rare subset of spinal tumors, with limited data on imaging. Herein, we present a retrospective review of clinical and imaging findings of CE-NETs in ten patients who were evaluated at our institution over the past two decades. All patients had well-defined intradural lesions in the lumbar spine which demonstrated slow growth. A review of imaging findings revealed the presence of an eccentric vascular pedicle along the dorsal aspect of the tumor in 8 of the 10 patients (eccentric vessel sign), a distinctive finding that has not previously been reported with this tumor and may help improve the accuracy of imaging-based diagnosis. In all cases, a gross-total resection was performed, with resolution of symptoms in most of the cases.

Indexed as

Cauda EquinaCentral Nervous System NeoplasmsNeuroendocrine TumorsParagangliomaSpinal NeoplasmsHumansMagnetic Resonance ImagingCauda equina neuroectodermal tumoreccentric vessel signintradural lesionsmagnetic resonance imagingparaganglioma

Identifiers

PMID37933451
PMCPMC10863566
OpenAlexW4388462452

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.