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锌补充剂对儿童发育的影响:一项系统评价和荟萃分析方案。

Effect of Zinc supplementation on child development: a systematic review and metaanalysis Protocol.

作者信息

Shahshahani Soheila, Sajedi Firoozeh, Fatollahierad Shiva

机构信息

Pediatric Neurorehabilitation Research Center, University of Social Welfare and Rehabilitation Sciences, Tehran, Iran.

出版信息

Iran J Child Neurol. 2021 Winter;15(1):9-17. doi: 10.22037/ijcn.v15i1.22515.

Abstract

Child development is one of the principal aspects of pediatrics. It is a multidimensional process, on which many factors may have different effects. Zinc is a nutritional trace element that has an essential role in neuronal activity and, consequently, in brain development. Since Zinc deficiency is prevalent in developing countries, some clinical trials were conducted to evaluate the impact of zinc supplementation on child development. Thus, we decided to run a systematic review in this area to identify the effectiveness of zinc supplements on child development. This systematic review protocol will include randomized controlled trials studies (RCTs) in which zinc supplementation was used versus placebo or no intervention, zinc supplementation with other micronutrients versus the same micronutrients without zinc. We will evaluate the effect of zinc alone and zinc co-supplementation with iron on child development. We will search the Medline, Pubmed, EMBASE, ERIC, Psychinfo, the Cochrane Central Register of Controlled Trials (CENTRAL), clinicaltrials.gov, WHO International Clinical Trials Registry Platform (ICTRP), ISRCTN Registry CINAHL, Web of Science and Scopus databases. The clinicaltrials.gov and the Cochrane Library website will also be searched for randomized trials which were registered and completed but not published yet. Two researchers will independently screen titles and abstracts of citations and read the full texts of potentially relevant studies. The data extraction and quality assessment of the papers will be done independently. Any disagreements that arise between the reviewers in the above-mentioned steps will be resolved through discussion. We will report our findings based on the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines and use the Cochrane Collaboration's tool for assessing the risk of bias. We will aim to synthesize the results in a meta-analysis if the interventions are similar in methods. Based on the similarities and differences of primary studies, we will use the best statistical methods. This is a protocol of systematic Review and meta-analysis of the effect of zinc supplementation on child development. The strengths of this protocol after meta-analysis are as follows We will identify the strengths and weaknesses of each study. We will also study if zinc alone and zinc co-supplementation with iron are useful for improving child development in terms of their age, their nutritional status, dose of the zinc supplementation, type of the zinc supplementation (salt), duration of the intervention and iron or other nutrient co supplementations. We will assume that the measures used for the outcome will be heterogeneous between studies. We know that each study has its own quantity. We will use the random effect models for these heterogeneous data.

摘要

儿童发育是儿科学的主要方面之一。它是一个多维度的过程,许多因素可能会对其产生不同影响。锌是一种营养微量元素,在神经元活动中,进而在大脑发育中起着至关重要的作用。由于锌缺乏在发展中国家普遍存在,因此开展了一些临床试验来评估补锌对儿童发育的影响。于是,我们决定在这一领域进行一项系统评价,以确定锌补充剂对儿童发育的有效性。本系统评价方案将纳入随机对照试验研究(RCT),其中包括补锌与安慰剂或无干预的对照、补锌与其他微量营养素联合使用与不添加锌的相同微量营养素的对照。我们将评估单独补锌以及锌与铁联合补充对儿童发育的影响。我们将检索Medline、Pubmed、EMBASE、ERIC、Psychinfo、Cochrane对照试验中央注册库(CENTRAL)、clinicaltrials.gov、世界卫生组织国际临床试验注册平台(ICTRP)、ISRCTN注册库、CINAHL、科学网和Scopus数据库。还将在clinicaltrials.gov和Cochrane图书馆网站上搜索已注册并完成但尚未发表的随机试验。两名研究人员将独立筛选文献的标题和摘要,并阅读潜在相关研究的全文。论文的数据提取和质量评估将独立进行。评审人员在上述步骤中出现的任何分歧将通过讨论解决。我们将根据系统评价和Meta分析的首选报告项目(PRISMA)指南报告我们的研究结果,并使用Cochrane协作组织的工具评估偏倚风险。如果干预措施在方法上相似,我们的目标是在Meta分析中综合结果。根据原始研究的异同,我们将使用最佳的统计方法。这是一项关于补锌对儿童发育影响的系统评价和Meta分析方案。Meta分析后本方案的优势如下:我们将确定每项研究的优势和劣势。我们还将研究单独补锌以及锌与铁联合补充在儿童年龄、营养状况、补锌剂量、锌补充剂类型(盐)、干预持续时间以及铁或其他营养素联合补充方面是否有助于改善儿童发育。我们将假设不同研究中用于结局的测量方法是异质性的。我们知道每项研究都有其自身的特点。对于这些异质性数据,我们将使用随机效应模型。

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