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058 Assessment of the Evidence for Diagnostic Tests and Strategies: A Systematic Review of Available Tools
  1. R Mustafa1,2,
  2. W Wiercioch1,6,7,
  3. M Falavigna1,
  4. Y Zhang1,
  5. B Prediger3,
  6. A Cheung4,
  7. L Ivanova1,
  8. I Arevalo-Rodriguez5,
  9. H Schünemann1 on behalf of the DU-Diagnosis SR group
  1. 1McMaster University, Hamilton, Canada
  2. 2University of Missouri-Kansas City, Kansas City, USA
  3. 3Germany
  4. 4University of British Columbia, Vancouver, Canada
  5. 5Universidad Nacional de Colombia, Bogota, Columbia
  6. 6Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
  7. 7National Institute of Science and Technology for Health Technology Assessment, Porto Alegre, Brazil


Background The challenges facing guideline developers when making recommendations about diagnostic tests and strategies (DTS) are considerably different when compared to treatment recommendations.

Objectives To identify, describe and compare all available instruments, checklists, critical appraisal tools, and indices designed for assessing the quality of evidence (QoE) or strength of recommendations (SoR) dealing with diagnostic tests and strategies.

Methods We conducted a comprehensive systematic search of the literature including state of the art diagnostic guidelines, methods papers and diagnostic systematic reviews.

Results We identified 45 tools and modifications of existing tools to assess the QoE and SoR of DTS. Most tools acknowledge the importance of assessing the QoE and SoR separately. Most tools include individual quality criteria and study design but no tool rates all quality criteria suggested by the GRADE working group. Only two tools explicitly consider factors that increase the confidence in the evidence. When moving from evidence to recommendations, patient values and preferences and resources were rarely considered.

Discussion There is confusion about the terminology that describes the various factors that influence the QoE and SoR. The criteria for evaluating the QoE and moving from evidence to recommendations are incomplete for most guideline development frameworks that we evaluated.

Implications for Guideline Developers/Users The GRADE approach is the most complete approach encompassing all factors but users will benefit from a better description of the evidence to recommendation framework in GRADE and clarification of issues that relate to laboratory validity parameters.

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