Ebell Mark H, Siwek Jay, Weiss Barry D, Woolf Steven H, Susman Jeffrey, Ewigman Bernard, Bowman Marjorie
Michigan State University College of Human Medicine, East Lansing, Michigan, USA.
Am Fam Physician. 2004 Feb 1;69(3):548-56.
A large number of taxonomies are used to rate the quality of an individual study and the strength of a recommendation based on a body of evidence. We have developed a new grading scale that will be used by several family medicine and primary care journals (required or optional), with the goal of allowing readers to learn one taxonomy that will apply to many sources of evidence. Our scale is called the Strength of Recommendation Taxonomy. It addresses the quality, quantity, and consistency of evidence and allows authors to rate individual studies or bodies of evidence. The taxonomy is built around the information mastery framework, which emphasizes the use of patient-oriented outcomes that measure changes in morbidity or mortality. An A-level recommendation is based on consistent and good-quality patient-oriented evidence; a B-level recommendation is based on inconsistent or limited-quality patient-oriented evidence; and a C-level recommendation is based on consensus, usual practice, opinion, disease-oriented evidence, or case series for studies of diagnosis, treatment, prevention, or screening. Levels of evidence from 1 to 3 for individual studies also are defined. We hope that consistent use of this taxonomy will improve the ability of authors and readers to communicate about the translation of research into practice.
大量的分类法被用于评估单个研究的质量以及基于一系列证据得出的推荐强度。我们开发了一种新的分级量表,将供几家家庭医学和初级保健期刊使用(必填或选填),目的是让读者学会一种适用于多种证据来源的分类法。我们的量表称为推荐强度分类法。它涉及证据的质量、数量和一致性,并允许作者对单个研究或证据进行评级。该分类法围绕信息掌握框架构建,该框架强调使用以患者为导向的结果来衡量发病率或死亡率的变化。A级推荐基于一致且高质量的以患者为导向的证据;B级推荐基于不一致或质量有限的以患者为导向的证据;C级推荐基于共识、常规做法、意见、以疾病为导向的证据或用于诊断、治疗、预防或筛查研究的病例系列。还定义了单个研究的证据水平从1到3级。我们希望一致使用这种分类法将提高作者和读者就研究转化为实践进行交流的能力。