Individual‐patient data and aggregate evidence syntheses and the future of allergy‐immunology research

D. Chu
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Abstract

Systematic summaries of the available evidence are a fundamental component in achieving optimal health outcomes.1 Traditional evidence hierarchies place systematic reviews and metaanalyses at their pinnacle. Metaanalyses (MA) can be subdivided into two analytic approaches: those that primarily combine existing published data using the values reported in individual studies, called ‘aggregate data metaanalysis’, where individual trials are a kind of unit of analysis; and those that seek to combine the raw study data from multiple studies, called ‘individual patient data [IPD] metaanalysis’, where the unit of analysis is individual participants that are clustered within individual studies. IPD metaanalyses have been claimed to be the ‘gold standard’ of evidence synthesis. What are the merits of IPD MA and why are investigators not doing more of them? In this issue, Van Vogt, Cro and colleagues, representing the Skincare interventions for the prevention of atopic dermatitis (SCiPAD) collaboration leadership, report a comparison of aggregate MA vs IPD MA of skin care interventions, primarily moisturizers (emollients), vs standard care for the prevention of atopic dermatitis and IgEmediated food allergy in infants.2 Smartly planned, excellently done, spectacularly interpreted and impactfully informative, they report similar effect estimates using both analytic approaches, and the IPD approach better addressed the betweenstudy heterogeneity, allowed more sophisticated statistical analyses and could
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个体患者数据和综合证据的合成以及过敏免疫学研究的未来
系统总结现有证据是实现最佳健康结果的基本组成部分传统的证据层次将系统评价和元分析置于其顶峰。荟萃分析(MA)可以细分为两种分析方法:一种主要是将现有已发表的数据与个别研究报告的值结合起来,称为“汇总数据荟萃分析”,其中单个试验是一种分析单位;另一种是试图将多个研究的原始研究数据结合起来,称为“个体患者数据[IPD]元分析”,其分析单位是单个研究中聚集的个体参与者。IPD荟萃分析被认为是证据合成的“黄金标准”。IPD MA的优点是什么?为什么调查人员没有做更多的IPD MA ?在这一期中,Van Vogt, Cro及其同事,代表皮肤护理干预预防特应性皮炎(SCiPAD)合作领导,报告了皮肤护理干预的总体MA与IPD MA的比较,主要是保湿剂(润肤剂),与预防婴儿特应性皮炎和ige介导的食物过敏的标准护理巧妙的计划,出色的完成,引人注目的解释和有影响力的信息,他们使用两种分析方法报告了相似的效果估计,IPD方法更好地解决了研究之间的异质性,允许更复杂的统计分析,并且可以
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