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Diagnostic test accuracy reviews 6: Presenting and interpreting results of DTA meta-analysis

Topic category Diagnostic test accuracy review methods
Date and Location
Sábado 22 Octubre 2011 - 14:00 - 15:30
Methods Group
Methods Group: 
Screening and Diagnostic Tests Methods Group
Contact person
Contact person: 
Rob Scholten (Contact this person)
NombreApellidoAffiliation and Country
Affiliation and Country: 
Peninsula Technology Assessment Group (PenTAG), UK
Target audience
Target audience: 
Authors interested in conducting diagnostic systematic reviews and users of reviews interested in learning about the use of evidence in diagnostic decision making
Is your workshop restricted to a specific audience or open to all Colloquium participants?: 
Level of knowledge required: 
Type of workshop
Type of workshop: 
Abstract text
The Cochrane Diagnostic Reviews Methodology Working Group has developed a series of workshops addressing guidelines as formulated in the Handbook for Diagnostic Test Accuracy reviews. This workshop will provide participants with an understanding of how results of Cochrane Diagnostic Test Accuracy (DTA) reviews can be presented and interpreted. At the end of the workshop, participants will have been introduced into various ways of presenting DTA results to help end-users to understand better the results of a DTA review.

The meta-analysis of diagnostic test accuracy studies is complex and the results of such a meta-analysis are not readily understandable. Interpretation of test results should be done in view of the purpose of the test(s), the position of the test in diagnostic process and the amount of heterogeneity that is present. The workshop will start with a brief introduction about interpretation of diagnostic tests and strategies for their use in quantitative decision making. Then we will address various ways of how results of a DTA meta-analysis can be presented. Topics included are SROC-curves, confidence ellipses around summary estimates of sensitivity and specificity, Summary of Results Tables and pretest-posttest graphs.