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

Sue Mallett, Jacqueline Dinnes, Yemisi Takwoingi, Lavinia Ferrante De ruffano

Research output: Contribution to journalArticlepeer-review

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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.

Original languageEnglish
Article number18
Number of pages16
JournalDiagnostic and Prognostic Research
Volume6
Issue number1
Early online date22 Sept 2022
DOIs
Publication statusE-pub ahead of print - 22 Sept 2022

Bibliographical note

© 2022. The Author(s).

Keywords

  • Diagnostic test accuracy
  • Heterogeneity
  • Meta-analysis
  • Methodology
  • Methodology and reporting of diagnostic and prognostic research
  • Multiplicity
  • SROC
  • Systematic review
  • Template
  • forest

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