Evidence map›Paper›PMID 36825220›Full record

ArticleWorld neurosurgery: X2023

Meningioma grading based on positron emission tomography: A systematic review and meta-analysis.

Panagiotis Filis, George A Alexiou, Andreas Zigouris, Chrissa Sioka, Nikolaos Filis, Spyridon Voulgaris

Open access · goldAbstract read
In one paragraph

Article in World neurosurgery: X, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.1field-weighted citation impact, top 23% 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

4 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
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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

6 authors at 1 institution in 1 country.

Panagiotis FilisDepartment of Neurosurgery, University of Ioannina, School of Medicine, Greece.
George A AlexiouDepartment of Neurosurgery, University of Ioannina, School of Medicine, Greece.
Andreas ZigourisDepartment of Neurosurgery, University of Ioannina, School of Medicine, Greece.
Chrissa SiokaDepartment of Nuclear Medicine, University of Ioannina, Greece.
Nikolaos FilisDepartment of Neurosurgery, University of Ioannina, School of Medicine, Greece.
Spyridon VoulgarisDepartment of Neurosurgery, University of Ioannina, School of Medicine, Greece.
University of Ioannina · GR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Meningiomas are the most common central nervous system tumor in adults. Knowledge of the tumor grade can guide optimal treatment timing and shape personalized follow-up strategies. Positron emission tomography (PET) has been utilized for the metabolic assessment of various intracranial space-occupying lesions. Herewith, we set out to evaluate the diagnostic accuracy of PET for the noninvasive assessment of meningioma's grade. Materials and methods: The Medline, Scopus and Cochrane databases were systematically searched in March 2022 for studies that evaluated the sensitivity and specificity of PET compared to the gold standard of histological diagnosis in the grading of meningiomas. Summary statistics will be calculated and scatter plots, summary curve from the HSROC model and posterior predictions by empirical Bayes estimates will be presented. Results: Five studies consisting of 242 patients with a total of 196 low-grade (Grade 1) and 46 high grade (Grade 2/3) meningiomas were included in our analysis. Three of the included studies used Conclusion: PET is a promising and viable option as a noninvasive imaging tool to differentiate the meningioma grades. However, currently it cannot overtake the gold standard of histological grade confirmation. More studies are required for further validation and refinement of this imaging technique and assessment of other radiotracers as well.

Indexed as

11C-MET, 11C-methionine18F-FDG, fluorine-18 fluorodeoxyglucose18F-FET, O-(2-[18F]Fluoroethyl)-l-tyrosine[18F]FLT, 3′-deoxy-3′-[18F]fluorothymidine1/LR-, inverse of the negative likelihood ratioCIs, 95% confidence intervalsCT, computerized tomographyDOR, diagnostic odds ratioHSROC, hierarchical summary receiver operating characteristicLR−, negative likelihood ratiosLR+, positive likelihood ratiosMendingiomaMeta-analysisMRI, magnetic resonance imagingPETPET, positron emission tomographySPECT, single-photon emission computerized tomographySUVmax, maximum standardized uptake valueSUV, standardized uptake valueTBR, tumour-to-brain ratiosTGR, tumor-to-contralateral gray matter ratiosWHO, World Health Organization

Identifiers

PMID36825220
PMCPMC9941365
OpenAlexW4319072034

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.