Multimodal prognostic features of seizure freedom in epilepsy surgery

ObjectiveAccurate preoperative predictions of seizure freedom following surgery for focal drug resistant epilepsy remain elusive. Our objective was to systematically evaluate all meta-analyses of epilepsy surgery with seizure freedom as the primary outcome, to identify clinical features that are con...

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Veröffentlicht in:Journal of neurology, neurosurgery and psychiatry Jg. 93; H. 5; S. 499 - 508
Hauptverfasser: Alim-Marvasti, Ali, Vakharia, Vejay Niranjan, Duncan, John Sidney
Format: Journal Article
Sprache:Englisch
Veröffentlicht: England BMJ Publishing Group Ltd 01.05.2022
BMJ Publishing Group LTD
BMJ Publishing Group
Schriftenreihe:Original research
Schlagworte:
Bias
Collaboration
Convulsions & seizures
Drug resistance
Drug Resistant Epilepsy - surgery
Electroencephalography
Epilepsy
Epilepsy - diagnosis
Epilepsy - surgery
Freedom
Humans
Machine learning
Magnetic Resonance Imaging
Medical prognosis
Meta-analysis
Meta-Analysis as Topic
neurosurgery
Patients
Prognosis
Retrospective Studies
Seizures
Semiotics
Surgery
Surgical mesh
Surgical outcomes
Tomography, Emission-Computed, Single-Photon
Treatment Outcome
Variables
Variance analysis
meta-analysis
neurosurgery
epilepsy, surgery
ISSN:0022-3050, 1468-330X, 1468-330X
Online-Zugang:Volltext
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Zusammenfassung:ObjectiveAccurate preoperative predictions of seizure freedom following surgery for focal drug resistant epilepsy remain elusive. Our objective was to systematically evaluate all meta-analyses of epilepsy surgery with seizure freedom as the primary outcome, to identify clinical features that are consistently prognostic and should be included in the future models.MethodsWe searched PubMed and Cochrane using free-text and Medical Subject Heading (MeSH) terms according to Preferred Reporting Items for Systematic Reviews and Meta-Analyses. This study was registered on PROSPERO. We classified features as prognostic, non-prognostic and uncertain and into seven subcategories: ‘clinical’, ‘imaging’, ‘neurophysiology’, ‘multimodal concordance’, ‘genetic’, ‘surgical technique’ and ‘pathology’. We propose a structural causal model based on these features.ResultsWe found 46 features from 38 meta-analyses over 22 years. The following were consistently prognostic across meta-analyses: febrile convulsions, hippocampal sclerosis, focal abnormal MRI, Single-Photon Emission Computed Tomography (SPECT) coregistered to MRI, focal ictal/interictal EEG, EEG-MRI concordance, temporal lobe resections, complete excision, histopathological lesions, tumours and focal cortical dysplasia type IIb. Severe learning disability was predictive of poor prognosis. Others, including sex and side of resection, were non-prognostic. There were limited meta-analyses investigating genetic contributions, structural connectivity or multimodal concordance and few adjusted for known confounders or performed corrections for multiple comparisons.SignificanceSeizure-free outcomes have not improved over decades of epilepsy surgery and despite a multitude of models, none prognosticate accurately. Our list of multimodal population-invariant prognostic features and proposed structural causal model may serve as an objective foundation for statistical adjustments of plausible confounders for use in high-dimensional models.PROSPERO registration numberCRD42021185232.
Bibliographie:Original research
ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
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ObjectType-Review-3
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ISSN:0022-3050
1468-330X
1468-330X
DOI:10.1136/jnnp-2021-327119