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A message from Khalid Khan, editor-in-chief

机译:主编Khalid Khan致辞

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摘要

Growth curves have been developed for individuals with Down syndrome (DS) in several countries. However, in order to facilitate the preparation of clinical guidelines it is necessary to verify the eligibility of these curves. The search was conducted according to the PRISMA method (Preferred Reporting Items for Systematic reviews and Meta-Analyses). It was conducted between July 2012 and June 2013 in MEDLINE/PubMed and BIREME. The inclusion and exclusion criteria were applied to identify the studies and a total of 16 relevant articles were selected. The aspects analyzed in the articles consisted of sample size, number of observations, age group, anthropometric variables, standard deviation scores (SDS), type of study, collection and analysis of data, participants, inclusion/exclusion criteria and outcomes. The mean, standard deviations (SDs) and percentiles for sex and age were used to develop the curve of weight, height, and head circumference. The individuals with DS presented growth between -0.4 and -4.0 SDS in comparison to healthy controls. The variation in these observations can be explained by genetic differences, secular trends in growth and disease status. Regarding the limitations identified, it was observed that most of the studies did not provide data concerning the number of individuals and observations, mean values and respective SDs by sex and age. In addition, most studies did not use LMS methods to evaluate asymmetry, the median and data variability. In conclusion, the results of this review demonstrated that in order to avoid false diagnoses in children and adolescents with DS new growth curves must be developed.
机译:在一些国家已经为患有唐氏综合症(DS)的人制定了增长曲线。但是,为了促进临床指南的准备,有必要验证这些曲线的合格性。该搜索是根据PRISMA方法(系统评价和元分析的首选报告项目)进行的。该研究于2012年7月至2013年6月在MEDLINE / PubMed和BIREME进行。应用纳入和排除标准来识别研究,并选择了16篇相关文章。文章中分析的方面包括样本量,观察数,年龄组,人体测量学变量,标准差评分(SDS),研究类型,数据收集和分析,参与者,纳入/排除标准和结果。性别,年龄的均值,标准差(SD)和百分位数用于绘制体重,身高和头围的曲线。与健康对照组相比,患有DS的个体的SDS生长在-0.4至-4.0之间。这些观察结果的差异可以通过遗传差异,生长的长期趋势和疾病状况来解释。关于确定的局限性,据观察,大多数研究未提供有关个体数量和观察值,均值和按性别和年龄分列的标准差的数据。此外,大多数研究未使用LMS方法评估不对称性,中位数和数据变异性。总之,本评价的结果表明,为了避免对DS患病的儿童和青少年进行错误诊断,必须开发新的生长曲线。

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