Diagnostic test accuracy reviews 1: Introduction to meta-analysis

Topic category Diagnostic test accuracy review methods
Date and Location
Date: 
Monday 1 October 2012 - 13:30 - 15:00
Location: 
Methods Group
Methods Group: 
Screening and Diagnostic Tests Methods Group
Contact persons and facilitators
Contact person Affiliation Country
Yemisi Takwoingi (Contact this person) University of Birmingham United Kingdom
Facilitator Affiliation Country
Yemisi Takwoingi University of Birmingham United Kingdom
Other contributors
First nameLast nameAffiliation and Country
First name: 
Jon
Last name: 
Deeks
Affiliation and Country: 
University of Birmingham, UK
Target audience
Target audience: 
Review authors conducting diagnostic test accuracy reviews
Is your workshop restricted to a specific audience or open to all Colloquium participants?: 
Open
Level of knowledge required: 
Intermediate
Type of workshop
Type of workshop: 
Training
Abstract text
Abstract: 
Objectives:
The Cochrane Diagnostic Test Accuracy Working Group has developed a series of workshops addressing guidelines as formulated in the Handbook for Diagnostic Test Accuracy reviews. This workshop is designed to introduce the principles of meta-analysis of diagnostic test accuracy studies.

Description:
The framework for meta-analysis of diagnostic accuracy studies as implemented within Cochrane diagnostic test accuracy reviews will be presented. We will start with an overview of the various statistics to express the diagnostic performance of an index test, such as sensitivity, specificity, likelihood ratios and diagnostic odds ratios. Then methods for graphically summarising results from original studies will be presented: forest plots of sensitivity and specificity, and the ROC plot for presenting paired sensitivity-specificity results. Basic methods for estimating a summary ROC curve will be presented as they are implemented in RevMan 5, and the rationale for using these methods explained. The workshop will conclude with an overview of possible sources of heterogeneity and methods for assessing heterogeneity.