Division of Neurosurgery, Department of Surgery, University of Toronto, Toronto, Canada.
PLoS One. 2013;8(2):e53565. doi: 10.1371/journal.pone.0053565. Epub 2013 Feb 6.
To perform a systematic review and individual participant data meta-analysis to identify preoperative factors associated with a good seizure outcome in children with Tuberous Sclerosis Complex undergoing resective epilepsy surgery.
Electronic databases (MEDLINE, EMBASE, CINAHL and Web of Science), archives of major epilepsy and neurosurgery meetings, and bibliographies of relevant articles, with no language or date restrictions.
We included case-control or cohort studies of consecutive participants undergoing resective epilepsy surgery that reported seizure outcomes. We performed title and abstract and full text screening independently and in duplicate. We resolved disagreements through discussion.
One author performed data extraction which was verified by a second author using predefined data fields including study quality assessment using a risk of bias instrument we developed. We recorded all preoperative factors that may plausibly predict seizure outcomes.
To identify predictors of a good seizure outcome (i.e. Engel Class I or II) we used logistic regression adjusting for length of follow-up for each preoperative variable.
Of 9863 citations, 20 articles reporting on 181 participants were eligible. Good seizure outcomes were observed in 126 (69%) participants (Engel Class I: 102(56%); Engel class II: 24(13%)). In univariable analyses, absence of generalized seizure semiology (OR = 3.1, 95%CI = 1.2-8.2, p = 0.022), no or mild developmental delay (OR = 7.3, 95%CI = 2.1-24.7, p = 0.001), unifocal ictal scalp electroencephalographic (EEG) abnormality (OR = 3.2, 95%CI = 1.4-7.6, p = 0.008) and EEG/Magnetic resonance imaging concordance (OR = 4.9, 95%CI = 1.8-13.5, p = 0.002) were associated with a good postoperative seizure outcome.
Small retrospective cohort studies are inherently prone to bias, some of which are overcome using individual participant data. The best available evidence suggests four preoperative factors predictive of good seizure outcomes following resective epilepsy surgery. Large long-term prospective multicenter observational studies are required to further evaluate the risk factors identified in this review.
进行系统评价和个体参与者数据荟萃分析,以确定在接受切除术治疗癫痫的结节性硬化症儿童中,与良好癫痫发作结果相关的术前因素。
电子数据库(MEDLINE、EMBASE、CINAHL 和 Web of Science)、主要癫痫和神经外科学术会议档案以及相关文章的参考文献,无语言或日期限制。
我们纳入了连续参与者的病例对照或队列研究,这些研究报告了癫痫发作结果。我们独立地进行了标题和摘要筛选,并进行了两次重复筛选。我们通过讨论解决了分歧。
一名作者进行了数据提取,由第二名作者使用我们开发的风险偏倚工具进行研究质量评估进行验证。我们记录了所有可能合理预测癫痫发作结果的术前因素。
为了确定良好癫痫发作结果(即 Engel 分类 I 或 II)的预测因素,我们使用逻辑回归调整了每个术前变量的随访时间。
在 9863 条引文,20 篇文章报道了 181 名参与者,有 20 篇文章符合条件。126 名(69%)参与者的癫痫发作结果良好(Engel 分类 I:102(56%);Engel 分类 II:24(13%))。在单变量分析中,无全身性癫痫发作症状(OR = 3.1,95%CI = 1.2-8.2,p = 0.022)、无或轻度发育迟缓(OR = 7.3,95%CI = 2.1-24.7,p = 0.001)、单侧癫痫发作头皮脑电图(EEG)异常(OR = 3.2,95%CI = 1.4-7.6,p = 0.008)和 EEG/磁共振成像一致性(OR = 4.9,95%CI = 1.8-13.5,p = 0.002)与术后良好的癫痫发作结果相关。
小的回顾性队列研究固有地容易受到偏倚的影响,其中一些偏倚可以通过个体参与者数据来克服。现有最佳证据表明,有四个术前因素可以预测切除术治疗癫痫后的良好癫痫发作结果。需要进行大型长期前瞻性多中心观察性研究,以进一步评估本综述中确定的危险因素。