Evidence map›Paper›PMID 32475489›Full record

ReviewNeurosurgery clinics of North America2020

Automation Advances in Stereoelectroencephalography Planning.

Vejay N Vakharia, John S Duncan

Abstract readReview
In one paragraph

Review in Neurosurgery clinics of North America, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
–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

9 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
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  5. Review
  6. 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

2 authors.

Vejay N VakhariaDepartment of Clinical and Experimental Epilepsy, University College London, London, UK; National Hospital for Neurology and Neurosurgery, Queen Square, London, UK; Chalfont Centre for Epilepsy. Electronic address: v.vakharia@ucl.ac.uk.
John S DuncanDepartment of Clinical and Experimental Epilepsy, University College London, London, UK; National Hospital for Neurology and Neurosurgery, Queen Square, London, UK; Chalfont Centre for Epilepsy.

Funding

Wellcome Trust
6 · The paper itself

Abstract

The past decade has seen a significant shift in the number of centers performing intracranial electroencephalography from subdural grids and strips to stereoelectroencephalography (SEEG). Unlike grid and strip insertion or other stereotactic procedures in which the cortical surface is visualized, SEEG involves insertion of an electrode through a bolt anchored into the skull. Due to the multidisciplinary nature of SEEG trajectory planning, it often is time-consuming and iterative. Computer-assisted planning improves time taken and efficacy of SEEG trajectory planning. This article provides an overview of the considerations, controversies, and practicalities of implementing an automated computer-assisted planning solution for SEEG planning.

Indexed as

Electrodes, ImplantedElectroencephalographyEpilepsyHumansNeurosurgical ProceduresPreoperative CareStereotaxic TechniquesSurgery, Computer-AssistedComputer-assisted planningEpilepsyEpiNavStereoelectroencephalography

Identifiers

PMID32475489
PMCPMC7902942

What OpenQuestion 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 OpenQuestion graph.