Department of Epidemiology and Data Science, Amsterdam UMC, University of Amsterdam, Amsterdam, Netherlands.
Department of Epidemiology and Data Science, Amsterdam UMC, University of Amsterdam, Amsterdam, Netherlands.
J Clin Epidemiol. 2021 Oct;138:128-138. doi: 10.1016/j.jclinepi.2021.04.013. Epub 2021 Apr 26.
(1) To identify and classify comparative diagnostic test accuracy (DTA) study designs; (2) to describe study design labels used by authors of comparative DTA studies.
We performed a methodological review of 100 comparative DTA studies published between 2015 and 2017, randomly sampled from studies included in 238 comparative DTA systematic reviews indexed in MEDLINE in 2017. From each study report, we extracted six design elements characterizing participant flow and the labels used by authors.
We identified a total of 46 unique combinations of study design features in our sample, based on six design elements characterizing participant flow. We classified the studies into five study design categories based on how participants were allocated to receive each index test: 'fully paired' (n=79), 'partially paired, random subset' (n=0), 'partially paired, nonrandom subset' (n=2), 'unpaired randomized' (n=1) and 'unpaired nonrandomized' (n=3). The allocation method used in 15 studies was unclear. Sixty-one studies reported, in total, 29 unique study design labels but only four labels referred to specific design features of comparative studies.
Our classification scheme can help systematic review authors define study eligibility criteria, assess risk of bias, and communicate the strength of the evidence. A standardized labelling scheme could be developed to facilitate communication of specific design features.
(1) 识别和分类比较诊断测试准确性 (DTA) 研究设计;(2) 描述比较 DTA 研究作者使用的研究设计标签。
我们对 2015 年至 2017 年期间发表的 100 项比较 DTA 研究进行了方法学综述,这些研究是从 2017 年 MEDLINE 中索引的 238 项比较 DTA 系统评价中随机抽取的。从每份研究报告中,我们提取了六个描述参与者流动和作者使用标签的设计要素。
我们在样本中总共确定了 46 种独特的研究设计特征组合,这些组合基于六个描述参与者流动的设计要素。我们根据参与者接受每个索引测试的分配方式将研究分为五类:“完全配对”(n=79)、“部分配对,随机子集”(n=0)、“部分配对,非随机子集”(n=2)、“非配对随机”(n=1)和“非配对非随机”(n=3)。15 项研究的分配方法不明确。61 项研究总共报告了 29 个独特的研究设计标签,但只有 4 个标签提到了比较研究的具体设计特征。
我们的分类方案可以帮助系统评价作者定义研究入选标准、评估偏倚风险,并传达证据的强度。可以制定标准化的标签方案来促进特定设计特征的交流。