Katz David L, Williams Anna-leila, Girard Christine, Goodman Jonathan, Comerford Beth, Behrman Alyse, Bracken Michael B
Yale Prevention Research Center, Department of Epidemiology and Public Health, Yale University School of Medicine, USA.
Altern Ther Health Med. 2003 Jul-Aug;9(4):22-30.
There is widespread concern regarding the adequacy of evidence for specific practices under the rubric of "complementary and alternative medicine" (CAM).
To map the evidence pertaining to many commonly used CAM practices.
In 2000, the Yale Prevention Research Center was funded by the Centers for Disease Control and Prevention to conduct a "systematic review" of the evidence underlying CAM. The investigative team, working in collaboration with CAM practitioners, developed a systematic and replicable 9-step process termed evidence mapping. The process stipulates means for specifying the boundaries of the subject to be mapped in MeSH terms, and the characteristics used to situate retrieved articles in the overall map of evidence.
Yale Prevention Research Center, Derby, CT.
Steps completed thus far have led to the identification of over 4,000 papers distributed across 207 condition-treatment pairs. Of these pairs, 58% (n = 121) have been studied with one or more RCTs (1,070 total RCTs), and 23% (n = 47) have been the subject of one or more meta-analyses (86 total meta-analyses). Thirty-seven condition/treatment pairs (18%) had no identifiable supporting studies.
The novel methods of evidence mapping reported are useful and practical in characterizing the extent, distribution, and methodologic quality of research pertaining to a broad topic in medicine. Applied to CAM, they suggest that summary judgments about the quantity or quality of underlying evidence are overly simplistic.
对于“补充和替代医学”(CAM)范畴内特定疗法的证据充分性,人们普遍表示关切。
梳理与许多常用CAM疗法相关的证据。
2000年,耶鲁预防研究中心获得疾病控制与预防中心资助,对CAM的基础证据进行“系统评价”。研究团队与CAM从业者合作,开发了一种名为证据梳理的系统且可重复的九步骤流程。该流程规定了以医学主题词表(MeSH)术语确定待梳理主题边界的方法,以及用于将检索到的文章置于整体证据图谱中的特征。
康涅狄格州德比市耶鲁预防研究中心。
截至目前完成的步骤已识别出分布在207种病症 - 治疗组合中的4000多篇论文。在这些组合中,58%(n = 121)已通过一项或多项随机对照试验(共1070项随机对照试验)进行研究,23%(n = 47)已成为一项或多项荟萃分析(共86项荟萃分析)的主题。37种病症/治疗组合(18%)没有可识别的支持性研究。
所报告的证据梳理新方法在描述医学广泛主题相关研究的范围、分布和方法学质量方面是有用且实用的。应用于CAM时,这些方法表明对基础证据数量或质量的总结判断过于简单化。