Evidence map›Paper›PMID 28856492›Full record

ArticleNeurosurgical review2018

Tumor location and patient age predict biological signatures of high-grade gliomas.

Roberto Altieri, Francesco Zenga, Alessandro Ducati, Antonio Melcarne, Fabio Cofano, Marco Mammi, Giuseppe Di Perna, Riccardo Savastano, Diego Garbossa

Abstract read
PubMed Publisher
In one paragraph

Article in Neurosurgical review, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 1 pooled it
1.5field-weighted citation impact, top 17% 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

22 citing papers in PubMed, 1 synthesis or guideline pooled it, 40 citations in OpenAlex.

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  20. Conventional and advanced magnetic resonance imaging in patients with high-grade glioma.The quarterly journal of nuclear medicine and molecular imaging : official publication of the Italian Association of Nuclear Medicine (AIMN) [and] the International Association of Radiopharmacology (IAR), [and] Section of the Society of... · 2018
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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

9 authors at 2 institutions in 1 country.

Roberto AltieriNeurosurgical Unit, Department of Neuroscience, University of Turin, Turin, Italy. roberto.altieri.87@gmail.com.ORCID http://orcid.org/0000-0003-2671-4944
Francesco ZengaNeurosurgical Unit, Department of Neuroscience, University of Turin, Turin, Italy.
Alessandro DucatiNeurosurgical Unit, Department of Neuroscience, University of Turin, Turin, Italy.
Antonio MelcarneNeurosurgical Unit, Department of Neuroscience, University of Turin, Turin, Italy.
Fabio CofanoNeurosurgical Unit, Department of Neuroscience, University of Turin, Turin, Italy.
Marco MammiNeurosurgical Unit, Department of Neuroscience, University of Turin, Turin, Italy.
Giuseppe Di PernaNeurosurgical Unit, Department of Neuroscience, University of Turin, Turin, Italy.
Riccardo SavastanoAOU San Giovanni di Dio e Ruggi d'Aragona, Salerno, Italy.
Diego GarbossaNeurosurgical Unit, Department of Neuroscience, University of Turin, Turin, Italy.
University of Turin · ITOspedali Riuniti San Giovanni di Dio e Ruggi d'Aragona · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Prognostic factors for high-grade gliomas include patient age, IDH1 mutation, MGMT methylation, and Ki67 value. We assessed the predictive role of topographic location of gliomas for their biological signatures. Collecting all neuroradiological and histological data of patients with histologically proven HGG, we performed a retrospective monocentric study. A predictive value of frontal location for a lower Ki67 value (especially in the left hemisphere) and mutation of IDH1 (especially in the right hemisphere) was found. Temporal location was predictive for IDH1 wild-type. Involvement of the parietal lobe was found to be predictive of methylated MGMT, while insular lobe involvement predicted an unmethylated MGMT. There was no statistically significant difference of IDH1 mutation and MGMT methylation between left and right sides.

Indexed as

AdultAgedAge FactorsBrain NeoplasmsDNA MethylationDNA Modification MethylasesDNA Repair EnzymesFemaleGliomaHumansIsocitrate DehydrogenaseKi-67 AntigenMaleMiddle AgedMutationNeoplasm GradingDNA Modification MethylasesDNA Repair EnzymesIDH1 protein, humanIsocitrate DehydrogenaseKi-67 AntigenMGMT protein, humanTumor Suppressor ProteinsGlioblastomaGliomaHigh-grade gliomaIDH1, MGMT, Ki67Low-grade glioma

Identifiers

PMID28856492
OpenAlexW2753559686

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.