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TOMAS-R:一种用于在诊断试验准确性系统评价中识别和规划临床重要变异与多样性分析的模板。

TOMAS-R: A template to identify and plan analysis for clinically important variation and multiplicity in diagnostic test accuracy systematic reviews.

作者信息

Mallett Sue, Dinnes Jacqueline, Takwoingi Yemisi, de Ruffano Lavinia Ferrante

机构信息

UCL Centre for Medical Imaging, University College London, London, W1W 7TY, UK.

Test Evaluation Research Group, Institute of Applied Health Research, University of Birmingham, Edgbaston, Birmingham, B15 2TT, UK.

出版信息

Diagn Progn Res. 2022 Sep 22;6(1):18. doi: 10.1186/s41512-022-00131-z.

Abstract

The Cochrane Handbook for Systematic Reviews of Diagnostic Test Accuracy (DTA) provides guidance on important aspects of conducting a test accuracy systematic review. In this paper we present TOMAS-R (Template of Multiplicity and Analysis in Systematic Reviews), a structured template to use in conjunction with current Cochrane DTA guidance, to help identify complexities in the review question and to assist planning of data extraction and analysis when clinically important variation and multiplicity is present. Examples of clinically important variation and multiplicity could include differences in participants, index tests and test methods, target conditions and reference standards used to define them, study design and methodological quality. Our TOMAS-R template goes beyond the broad topic headings in current guidance that are sources of potential variation and multiplicity, by providing prompts for common sources of heterogeneity encountered from our experience of authoring over 100 reviews. We provide examples from two reviews to assist users. The TOMAS-R template adds value by supplementing available guidance for DTA reviews by providing a tool to facilitate discussions between methodologists, clinicians, statisticians and patient/public team members to identify the full breadth of review question complexities early in the process. The use of a structured set of prompting questions at the important stage of writing the protocol ensures clinical relevance as a main focus of the review, while allowing identification of key clinical components for data extraction and later analysis thereby facilitating a more efficient review process.

摘要

《Cochrane诊断试验准确性系统评价手册》(DTA)为开展试验准确性系统评价的重要方面提供了指导。在本文中,我们介绍了TOMAS-R(系统评价中的多重性和分析模板),这是一个与当前Cochrane DTA指南结合使用的结构化模板,用于帮助识别评价问题中的复杂性,并在存在临床重要变异和多重性时协助规划数据提取和分析。临床重要变异和多重性的例子可能包括参与者、索引试验和试验方法、目标疾病以及用于定义这些疾病的参考标准、研究设计和方法学质量方面的差异。我们的TOMAS-R模板超越了当前指南中作为潜在变异和多重性来源的宽泛主题标题,通过为我们撰写100多篇评价的经验中遇到的异质性常见来源提供提示。我们提供了两篇评价的例子来帮助用户。TOMAS-R模板通过提供一种工具来促进方法学家、临床医生、统计学家和患者/公众团队成员之间的讨论,以便在过程早期识别评价问题复杂性的全部范围,从而为DTA评价的现有指南提供补充,增加价值。在撰写方案的重要阶段使用一组结构化的提示问题可确保将临床相关性作为评价的主要重点,同时允许识别用于数据提取和后续分析的关键临床成分,从而促进更高效的评价过程。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/af45/9494799/c0010ccee050/41512_2022_131_Fig1_HTML.jpg

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