Rogozińska Ewelina, Khan Khalid
Women's Health Research Unit, Blizard Institute, Barts and the London School of Medicine and Dentistry, Queen Mary University of London, London, UK.
Department of Multidisciplinary Evidence Synthesis Hub (mEsh), Barts and the London School of Medicine, Queen Mary University London, London, UK.
Evid Based Med. 2017 Jun;22(3):81-84. doi: 10.1136/ebmed-2017-110717.
Guideline panels need to process a sizeable amount of information to issue a decision on whether to recommend a health technology or not. Grading of Recommendations Assessment, Development, and Evaluation (GRADE) is being frequently applied in guideline development to facilitate this task, typically for the synthesis of effectiveness research. Questions regarding the accuracy of medical tests are ubiquitous, and they temporally precede questions about therapy. However, literature summarising the experience of applying GRADE approach to accuracy evaluations is not as rich as one for effectiveness evidence. Type of study design (cross-sectional), two-dimensional nature of the performance measures (sensitivity and specificity), propensity towards a higher level of between-study heterogeneity, poor reporting of quality features and uncertainty about how best to assess for publication bias among other features make this task challenging. This article presents solutions adopted to addresses above challenges for judicious estimation of the strength of test accuracy evidence used to inform evidence syntheses for guideline development.
指南制定小组需要处理大量信息,以便就是否推荐某项卫生技术做出决定。推荐分级评估、制定与评价(GRADE)在指南制定过程中经常被应用,以促进这项任务,通常用于有效性研究的综合分析。关于医学检验准确性的问题无处不在,并且在时间上先于关于治疗的问题。然而,总结将GRADE方法应用于准确性评估经验的文献不如关于有效性证据的文献丰富。研究设计类型(横断面研究)、性能指标的二维性质(敏感性和特异性)、研究间异质性水平较高的倾向、质量特征报告不佳以及如何最好地评估发表偏倚的不确定性等其他特征,使得这项任务具有挑战性。本文介绍了为应对上述挑战而采取的解决方案,以便明智地估计用于为指南制定的证据综合提供信息的检验准确性证据的强度。