Silva Valter, Grande Antonio José, Martimbianco Ana Luiza Cabrera, Riera Rachel, Carvalho Alan Pedrosa Viegas
Program on Internal Medicine and Therapeutics, Federal University of São Paulo, Brazil.
Sao Paulo Med J. 2012;130(6):398-404. doi: 10.1590/s1516-31802012000600007.
Healthcare decision-making is complex and should involve healthcare professionals, patients and the best level of evidence. The speed of information production creates barriers against keeping up to date. In this light, methodologists have proposed a new type of study: overviews of systematic reviews (OoRs). The aim here was to introduce and demonstrate the role of OoRs in information synthesis for healthcare professionals, managers, researchers and patients.
Time-series study conducted at the Brazilian Cochrane Center, jointly with the Postgraduate Program on Internal Medicine and Therapeutics, Discipline of Emergency Medicine and Evidence-Based Medicine, Department of Medicine, Federal University of São Paulo.
To show the growth in the numbers of published papers that provide high-level evidence and thus demonstrate the importance of OoRs for synthesis and integration of information, three filters for study designs were applied to two databases. An equation for predicting the expected number of published papers was developed and applied.
Over the present decade, the number of randomized controlled trials in Medline might reach 2,863,203 and the number of systematic reviews might reach 174,262. Nine OoRs and 15 OoRs protocols have been published in the Cochrane Library.
With the exponential growth of published papers, as shown in this study, a new type of study directed especially towards healthcare decision-makers was proposed, named "overview of systematic reviews". This could reduce the uncertainties in decision-making and generate a new hierarchy in the pyramid of evidence.
医疗保健决策十分复杂，应纳入医疗保健专业人员、患者以及最高水平的证据。信息产生的速度形成了阻碍人们跟上最新进展的障碍。有鉴于此，方法学家们提出了一种新型研究：系统评价概述（OoR）。本文旨在介绍并展示OoR在为医疗保健专业人员、管理人员、研究人员及患者进行信息综合方面所起的作用。
在巴西考科蓝中心开展的一项时间序列研究，该研究与圣保罗联邦大学医学院内科学与治疗学、急诊医学及循证医学学科的研究生项目合作进行。
为了展现提供高水平证据的已发表论文数量的增长情况，从而证明OoR对于信息综合与整合的重要性，我们将三种研究设计筛选标准应用于两个数据库。并开发应用了一个预测已发表论文预期数量的公式。
在当前十年间，Medline中随机对照试验的数量可能达到2,863,203项，系统评价的数量可能达到174,262项。考科蓝图书馆已发表了9篇系统评价概述及15篇系统评价概述方案。
正如本研究所示，随着已发表论文呈指数增长，我们提出了一种专门针对医疗保健决策者的新型研究，即“系统评价概述”。这可以减少决策中的不确定性，并在证据金字塔中产生一个新的层级。
