ArticleChild's nervous system : ChNS : official journal of the International Society for Pediatric Neurosurgery2015
A partial least squares analysis of seizure outcomes following resective surgery for tuberous sclerosis complex in children with intractable epilepsy.
Article in Child's nervous system : ChNS : official journal of the International Society for Pediatric Neurosurgery, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Factors associated with regional differences in healthcare quality for patients with acute myocardial infarction in Japan.PloS one · 2025Article
- Treatment options in autism with epilepsy.Frontiers in child and adolescent psychiatry · 2024Article
- Article
- Multimodal prognostic features of seizure freedom in epilepsy surgery.Journal of neurology, neurosurgery, and psychiatry · 2022Review
- A partial least squares analysis of functional status, disability, and quality of life after surgical decompression for degenerative cervical myelopathy.Scientific reports · 2020Article
- Recognition and Optimization of Ingredients Treating Nitroglycerin-Induced Migraine Rats from Wuzhuyu Decoction.Evidence-based complementary and alternative medicine : eCAM · 2019Article
- A distinct microRNA expression profile is associated with α[Neurobiology of disease · 2018Article
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3 authors.
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Abstract
introductionPrevious studies aimed at identifying predictors of seizure outcomes following resective surgery for tuberous sclerosis complex (TSC) are limited by multicollinearity among predictors, whereby the high degree of correlation between covariates precludes detection of potentially significant findings. PURPOSE: Here, we apply a data-driven method, partial least squares (PLS) to model multidimensional variance and study significant patterns in data that are associated with seizure outcomes.
methodsPost hoc analysis of 186 children with TSC who underwent resective epilepsy surgery derived from an individual participant data meta-analysis was performed. PLS was used to derive a latent variable (component) that relates clinical covariates with Engel classification. Permutation testing was performed to evaluate the significance of the component, and bootstrapping was used to identify significant contributors to the component.
resultsA significant component was identified, which represents the pattern of covariates related to Engel class. The strongest and significant factors contributing to this component were focal ictal electroencephalogram and concordance of electroencephalography (EEG)-magnetic resonance imaging (MRI) abnormality. Interestingly, covariates contributing the least to the seizure-free patient phenotype were continent of treatment and age at the time of surgery.
conclusionUsing a data-driven, multivariate method, PLS, we describe patient phenotypes that are associated with seizure-freedom following resective surgery for TSC.
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