Ebell Mark H, Siwek Jay, Weiss Barry D, Woolf Steven H, Susman Jeffrey L, Ewigman Bernard, Bowman Marjorie
Michigan State University College of Human Medicine, East Lansing, MI USA. E-mail:
J Fam Pract. 2004 Feb;53(2):111-20.
Several taxonomies exist for rating individual studies and the strength of recommendations, making the analysis of evidence confusing for practitioners. A new grading scale-the Strength of Recommendation Taxonomy (SORT)-will be used by several family medicine and primary care journals (required or optional), allowing readers to learn 1 consistently applied taxonomy of evidence. SORT is built around the information mastery framework, which emphasizes the use of patient-oriented outcomes that measure changes in morbidity or mortality. Levels of evidence from 1 to 3 for individual studies also are defined. 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.
有几种用于评估个体研究及推荐强度的分类法,这使得从业者对证据的分析感到困惑。一种新的分级量表——推荐强度分类法(SORT)——将被几家家庭医学和初级保健期刊采用(强制或可选),这使读者能够了解一种始终如一应用的证据分类法。SORT是围绕信息掌握框架构建的,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。还定义了个体研究从1到3级的证据水平。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、观点、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。