Evidence map›Paper›PMID 36849831›Full record

ArticleActa neurochirurgica2023

Microscope neuronavigation-guided microsurgical fenestration of quadrigeminal cistern arachnoid cysts: how I do it.

Luca Campagnaro, Camilla Bonaudo, Federico Capelli, Alessandro Della Puppa

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In one paragraph

Article in Acta neurochirurgica, 2023. 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
0.3field-weighted citation impact, top 49% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  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

4 authors at 1 institution in 1 country.

Luca CampagnaroNeurosurgery, Department of Neuroscience, Psychology, Pharmacology and Child Health, Careggi University Hospital and University of Florence, Largo Palagi 1, 50134, Florence, Italy. luca.c89@gmail.com.ORCID http://orcid.org/0000-0002-6882-2436
Camilla BonaudoNeurosurgery, Department of Neuroscience, Psychology, Pharmacology and Child Health, Careggi University Hospital and University of Florence, Largo Palagi 1, 50134, Florence, Italy.
Federico CapelliNeurosurgery, Department of Neuroscience, Psychology, Pharmacology and Child Health, Careggi University Hospital and University of Florence, Largo Palagi 1, 50134, Florence, Italy.
Alessandro Della PuppaNeurosurgery, Department of Neuroscience, Psychology, Pharmacology and Child Health, Careggi University Hospital and University of Florence, Largo Palagi 1, 50134, Florence, Italy.
Azienda Ospedaliero-Universitaria Careggi · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundManagement options for treatment of quadrigeminal arachnoid cysts (QAC) include microsurgical/endoscopic fenestration or shunt. There is an open debate about which method is the best. Microsurgical fenestration is well suited for treatment of QAC with predominant infratentorial component and without hydrocephalus making endoscopic procedures more challenging.

methodWe describe the microsurgical technique and related anatomy to fenestrate infratentorial QAC through supracerebellar infratentorial approach. We also discuss our experiences with this approach, some of the drawbacks and nuances.

conclusionNavigation-guided microsurgical fenestration of infratentorial QAC is the authors' surgical approach of choice for treating these rare challenging lesions when not associated with hydrocephalus.

Indexed as

Arachnoid CystsHydrocephalusOtologic Surgical ProceduresEndoscopyHumansNeuronavigationArachnoid cystMicrosurgical cyst fenestrationPineal regionSupracerebellar infratentorial approach

Identifiers

PMID36849831
OpenAlexW4322490141

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.