Evidence map›Paper›PMID 28261785›Full record

SynthesisEpilepsia2017

Accuracy of intracranial electrode placement for stereoencephalography: A systematic review and meta-analysis.

Vejay N Vakharia, Rachel Sparks, Aidan G O'Keeffe, Roman Rodionov, Anna Miserocchi, Andrew McEvoy, Sebastien Ourselin, John Duncan

Open access · bronzeAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Epilepsia, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 61 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
61citing papers in PubMed, 4 pooled it
10.0field-weighted citation impact, top 1% 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

61 citing papers in PubMed, 4 syntheses or guidelines pooled it, 141 citations in OpenAlex.

  1. Pooled it
  2. Usefulness of Robotic Stereotactic Assistance (ROSANeurologia medico-chirurgica · 2024
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1 more citing papers are in PubMed but not listed here.

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

8 authors at 2 institutions in 1 country.

Vejay N VakhariaDepartment of Experimental Epilepsy, National Hospital for Neurology and Neurosurgery, London, United Kingdom.ORCID 0000-0002-9476-4225
Rachel SparksTransitional Imaging Group, Centre for Medical Image Computing, University College London, London, United Kingdom.
Aidan G O'KeeffeDepartment of Statistical Science, University College London, London, United Kingdom.
Roman RodionovDepartment of Experimental Epilepsy, National Hospital for Neurology and Neurosurgery, London, United Kingdom.
Anna MiserocchiDepartment of Experimental Epilepsy, National Hospital for Neurology and Neurosurgery, London, United Kingdom.
Andrew McEvoyDepartment of Experimental Epilepsy, National Hospital for Neurology and Neurosurgery, London, United Kingdom.
Sebastien OurselinDepartment of Experimental Epilepsy, National Hospital for Neurology and Neurosurgery, London, United Kingdom.
John DuncanDepartment of Experimental Epilepsy, National Hospital for Neurology and Neurosurgery, London, United Kingdom.
National Hospital for Neurology and Neurosurgery · GBUniversity College London · GB

Funding

Wellcome Trust 106882
6 · The paper itself

Abstract

objectiveStereoencephalography (SEEG) is a procedure in which electrodes are inserted into the brain to help define the epileptogenic zone. This is performed prior to definitive epilepsy surgery in patients with drug-resistant focal epilepsy when noninvasive data are inconclusive. The main risk of the procedure is hemorrhage, which occurs in 1-2% of patients. This may result from inaccurate electrode placement or a planned electrode damaging a blood vessel that was not detected on the preoperative vascular imaging. Proposed techniques include the use of a stereotactic frame, frameless image guidance systems, robotic guidance systems, and customized patient-specific fixtures.

methodsUsing the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) guidelines, a structured search of the PubMed, Embase, and Cochrane databases identified studies that involve the following: (1) SEEG placement as part of the presurgical workup in patients with (2) drug-resistant focal epilepsy for which (3) accuracy data have been provided.

resultsThree hundred twenty-six publications were retrieved, of which 293 were screened following removal of duplicate and non-English-language studies. Following application of the inclusion and exclusion criteria, 15 studies were included in the qualitative and quantitative synthesis of the meta-analysis. Accuracies for SEEG electrode implantations have been combined using a random-effects analysis and stratified by technique. SIGNIFICANCE: The published literature regarding accuracy of SEEG implantation techniques is limited. There are no prospective controlled clinical trials comparing different SEEG implantation techniques. Significant systematic heterogeneity exists between the identified studies, preventing any meaningful comparison between techniques. The recent introduction of robotic trajectory guidance systems has been suggested to provide a more accurate method of implantation, but supporting evidence is limited to class 3 only. It is important that new techniques are compared to the previous "gold-standard" through well-designed and methodologically sound studies before they are introduced into widespread clinical practice.

Indexed as

Electrodes, ImplantedStereotaxic TechniquesBrainDrug Resistant EpilepsyElectroencephalographyEpilepsies, PartialHumansReproducibility of ResultsSurgery, Computer-AssistedDrug resistanceEpileptogenic zoneRoboticsStereoencephalographyStereotactic frame

Identifiers

PMID28261785
PMCPMC6736669
OpenAlexW2593094237

What OpenQuestion holds

Textmetadata
LicenceTDM
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.