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Publication Details
AFRICAN RESEARCH NEXUS
SHINING A SPOTLIGHT ON AFRICAN RESEARCH
Graphical presentation of diagnostic information
BMC Medical Research Methodology, Volume 8, Article 20, Year 2008
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Description
Background. Graphical displays of results allow researchers to summarise and communicate the key findings of their study. Diagnostic information should be presented in an easily interpretable way, which conveys both test characteristics (diagnostic accuracy) and the potential for use in clinical practice (predictive value). Methods. We discuss the types of graphical display commonly encountered in primary diagnostic accuracy studies and systematic reviews of such studies, and systematically review the use of graphical displays in recent diagnostic primary studies and systematic reviews. Results. We identified 57 primary studies and 49 systematic reviews. Fifty-six percent of primary studies and 53% of systematic reviews used graphical displays to present results. Dot-plot or box-and- whisker plots were the most commonly used graph in primary studies and were included in 22 (39%) studies. ROC plots were the most common type of plot included in systematic reviews and were included in 22 (45%) reviews. One primary study and five systematic reviews included a probability-modifying plot. Conclusion. Graphical displays are currently underused in primary diagnostic accuracy studies and systematic reviews of such studies. Diagnostic accuracy studies need to include multiple types of graphic in order to provide both a detailed overview of the results (diagnostic accuracy) and to communicate information that can be used to inform clinical practice (predictive value). Work is required to improve graphical displays, to better communicate the utility of a test in clinical practice and the implications of test results for individual patients. © 2008 Whiting et al; licensee BioMed Central Ltd.
Authors & Co-Authors
Whiting, Penny F.
Unknown Affiliation
Sterne, Jonathan A.C.
Unknown Affiliation
Bachmann, Lucas M.
Unknown Affiliation
Egger, Matthias
Switzerland, Bern
University of Bern
Deeks, Jonathan J.
United Kingdom, Birmingham
University of Birmingham
Statistics
Citations: 36
Authors: 5
Affiliations: 3
Identifiers
Doi:
10.1186/1471-2288-8-20
ISSN:
14712288