Evidence map›Paper›PMID 41294709›Full record

ArticleCurrent oncology (Toronto, Ont.)2025

Predicting the Consistency of Vestibular Schwannoma and Its Implication in the Retrosigmoid Approach: A Single-Center Analysis.

Raffaele De Marco, Giovanni Morana, Silvia Sgambetterra, Federica Penner, Antonio Melcarne, Diego Garbossa, Michele Lanotte, Roberto Albera, Francesco Zenga

Abstract read
In one paragraph

Article in Current oncology (Toronto, Ont.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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.

Raffaele De MarcoDepartment of Neuroscience "Rita Levi Montalcini", University of Turin, 10124 Turin, Italy.ORCID 0000-0001-5187-4689
Giovanni MoranaDepartment of Neuroscience "Rita Levi Montalcini", University of Turin, 10124 Turin, Italy.
Silvia SgambetterraDepartment of Neuroscience "Rita Levi Montalcini", University of Turin, 10124 Turin, Italy.
Federica PennerPituitary and Skull Base Surgery Unit, "Città della Salute e della Scienza" University Hospital, 10124 Turin, Italy.
Antonio MelcarneNeurosurgery Unit, "Città della Salute e della Scienza" University Hospital, 10124 Turin, Italy.
Diego GarbossaDepartment of Neuroscience "Rita Levi Montalcini", University of Turin, 10124 Turin, Italy.ORCID 0000-0002-2692-7133
Michele LanotteDepartment of Neuroscience "Rita Levi Montalcini", University of Turin, 10124 Turin, Italy.ORCID 0000-0002-4184-028X
Roberto AlberaDivision of Otorhinolaryngology, Department of Surgical Sciences, University of Turin, 10126 Turin, Italy.
Francesco ZengaPituitary and Skull Base Surgery Unit, "Città della Salute e della Scienza" University Hospital, 10124 Turin, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To explore the relationship between magnetic resonance imaging (MRI) parameters, including T2-weighted intensity and apparent diffusion coefficient (ADC), and intraoperative tumor characteristics, particularly consistency, in vestibular schwannomas (VSs). The association between tumor consistency, facial nerve (FN) function, and postoperative outcomes was analyzed. A single-center retrospective analysis included newly diagnosed VS cases (2020-2023) with cisternal involvement (Samii T3a; volume ≥ 0.7 cm

Indexed as

Neuroma, AcousticAdultAgedFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedRetrospective Studiesacoustic neuromaapparent coefficient diffusionfacial nervemagnetic resonance imagingoutcome

Identifiers

PMID41294709
PMCPMC12651048

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.