Evidence map›Paper›PMID 36661712›Full record

ArticleCurrent oncology (Toronto, Ont.)2023

Intraoperative Flow Cytometry for the Evaluation of Meningioma Grade.

George A Alexiou, Georgios S Markopoulos, Evrysthenis Vartholomatos, Anna C Goussia, Lefkothea Dova, Savvas Dimitriadis, Stefania Mantziou, Vasiliki Zoi, Anastasios Nasios, Chrissa Sioka and 3 more

Open access · goldAbstract read
In one paragraph

Article in Current oncology (Toronto, Ont.), 2023. 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
1.3field-weighted citation impact, top 20% 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

6 citing papers in PubMed, 6 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

13 authors at 2 institutions in 2 countries.

George A AlexiouNeurosurgical Institute, University of Ioannina School of Medicine, 45110 Ioannina, Greece.
Georgios S MarkopoulosNeurosurgical Institute, University of Ioannina School of Medicine, 45110 Ioannina, Greece.ORCID 0000-0002-7700-7003
Evrysthenis VartholomatosNeurosurgical Institute, University of Ioannina School of Medicine, 45110 Ioannina, Greece.
Anna C GoussiaDepartment of Pathology, University Hospital of Ioannina, 45500 Ioannina, Greece.
Lefkothea DovaNeurosurgical Institute, University of Ioannina School of Medicine, 45110 Ioannina, Greece.
Savvas DimitriadisNeurosurgical Institute, University of Ioannina School of Medicine, 45110 Ioannina, Greece.
Stefania MantziouNeurosurgical Institute, University of Ioannina School of Medicine, 45110 Ioannina, Greece.
Vasiliki ZoiNeurosurgical Institute, University of Ioannina School of Medicine, 45110 Ioannina, Greece.
Anastasios NasiosNeurosurgical Institute, University of Ioannina School of Medicine, 45110 Ioannina, Greece.
Chrissa SiokaNeurosurgical Institute, University of Ioannina School of Medicine, 45110 Ioannina, Greece.ORCID 0000-0002-2184-4945
Athanasios P KyritsisNeurosurgical Institute, University of Ioannina School of Medicine, 45110 Ioannina, Greece.ORCID 0000-0003-0370-1024
Spyridon VoulgarisNeurosurgical Institute, University of Ioannina School of Medicine, 45110 Ioannina, Greece.
George VartholomatosNeurosurgical Institute, University of Ioannina School of Medicine, 45110 Ioannina, Greece.ORCID 0000-0003-3884-4965
University of Ioannina · GRLimassol General Hospital · CY

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Meningiomas are the most frequent central nervous system tumors in adults. The majority of these tumors are benign. Nevertheless, the intraoperative identification of meningioma grade is important for modifying surgical strategy in order to reduce postoperative complications. Here, we set out to investigate the role of intraoperative flow cytometry for the differentiation of low-grade (grade 1) from high-grade (grade 2-3) meningiomas. The study included 59 patients. Intraoperative flow cytometry analysis was performed using the 'Ioannina Protocol' which evaluates the G0/G1 phase, S-phase, mitosis and tumor index (S + mitosis phase fraction) of a tumor sample. The results are available within 5 min of sample receipt. There were 41 grade 1, 15 grade 2 and 3 grade 3 meningiomas. High-grade meningiomas had significantly higher S-phase fraction, mitosis fraction and tumor index compared to low-grade meningiomas. High-grade meningiomas had significantly lower G0/G1 phase fraction compared to low-grade meningiomas. Thirty-eight tumors were diploids and twenty-one were aneuploids. No significant difference was found between ploidy status and meningioma grade. ROC analysis indicated 11.4% of tumor index as the optimal cutoff value thresholding the discrimination between low- and high-grade meningiomas with 90.2% sensitivity and 72.2% specificity. In conclusion, intraoperative flow cytometry permits the detection of high-grade meningiomas within 5 min. Thus, surgeons may modify tumor removal strategy.

Indexed as

Meningeal NeoplasmsMeningiomaAdultAneuploidyFlow CytometryHumansgrade of malignancyintraoperative flow cytometrymeningioma

Identifiers

PMID36661712
PMCPMC9858265
OpenAlexW4313893801

What OpenQuestion holds

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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.