Dealing with missing standard deviation and mean values in meta-analysis of continuous outcomes: a systematic review

Background: Rigorous, informative meta-analyses rely on availability of appropriate summary statistics or individual participant data. For continuous outcomes, especially those with naturally skewed distributions, summary information on the mean or variability often goes unreported. While full reporting of original trial data is the ideal, we sought to identify methods for handling unreported mean or variability summary statistics in meta-analysis. Methods: We undertook two systematic literature reviews to identify methodological approaches used to deal with missing mean or variability summary statistics. Five electronic databases were searched, in addition to the Cochrane Colloquium abstract books and the Cochrane Statistics Methods Group mailing list archive. We also conducted cited reference searching and emailed topic experts to identify recent methodological developments. Details recorded included the description of the method, the information required to implement the method, any underlying assumptions and whether the method could be readily applied in standard statistical software. We provided a summary description of the methods identified, illustrating selected methods in example meta-analysis scenarios. Results: For missing standard deviations (SDs), following screening of 503 articles, fifteen methods were identified in addition to those reported in a previous review. These included Bayesian hierarchical modelling at the meta-analysis level; summary statistic level imputation based on observed SD values from other trials in the meta-analysis; a practical approximation based on the range; and algebraic estimation of the SD based on other summary statistics. Following screening of 1124 articles for methods estimating the mean, one approximate Bayesian computation approach and three papers based on alternative summary statistics were identified. Illustrative meta-analyses showed that when replacing a missing SD the approximation using the range minimised loss of precision and generally performed better than omitting trials. When estimating missing means, a formula using the median, lower quartile and upper quartile performed best in preserving the precision of the meta-analysis findings, although in some scenarios, omitting trials gave superior results. Conclusions: Methods based on summary statistics (minimum, maximum, lower quartile, upper quartile, median) reported in the literature facilitate more comprehensive inclusion of randomised controlled trials with missing mean or variability summary statistics within meta-analyses

Partial epilepsy with pericentral spikes: A new familial epilepsy syndrome with evidence for linkage to chromosome 4p15

The genetic analysis of simple Mendelian epilepsies remains a key strategy in advancing our understanding of epilepsy. in this article, we describe a new family epilepsy syndrome, partial epilepsy with pericentral spikes, which we map to chromosome 4p15. We distinguish it clinically, electrophysiologically, and genetically from previously described Mendelian epilepsies. the family described is a large Brazilian kindred of Portuguese extraction in which affected family members manifest a variety of seizure types, including hemiclonic, hemitonic, generalized tonic-clonic, simple partial (stereotyped episodes of epigastric pain), and complex partial seizures consistent with temporal lobe epilepsy. the syndrome is benign, either requiring no treatment or responding to a single antiepileptic medication. Seizure onset is in the first or second decades of life, with seizures in individuals up to the age of 71 years and documented encephalogram changes up to the age of 30 years. A key feature of partial epilepsy with pericentral spikes is a characteristic encephalogram abnormality of spikes or sharp waves in the pericentral region (centroparietal, centrofrontal, or centrotemporal). This distinctive encephalogram abnormality of pericentral spikes unites these several seizure types into a discrete family epilepsy syndrome. As with other familial epilepsies, the inherited nature of this new syndrome may be overlooked because of the variability in penetrance and seizure types among affected family members.Inst Neurol, Dept Clin & Expt Epilepsy, London WC1N 3BG, EnglandInst Neurol, Dept Mol Pathogenesis, London WC1N 3BG, EnglandChalfont Ctr Epilepsy, Natl Soc Epilepsy, Chalfont, Bucks, EnglandUniv London Imperial Coll Sci Technol & Med, Sch Med, Charing Cross Hosp, DIv Neurosci & Psychol Med, London, EnglandUniversidade Federal de São Paulo, Escola Paulista Med, Dept Psychiat, São Paulo, BrazilUniversidade Federal de São Paulo, Escola Paulista Med, Dept Psychiat, São Paulo, BrazilWeb of Scienc