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Challenges in Comparative Meta-Analysis of the Accuracy of Multiple Diagnostic Tests

Challenges in Comparative Meta-Analysis of the Accuracy of Multiple Diagnostic Tests

Authors :
Areti Angeliki Veroniki
Yemisi Takwoingi
Gerta Rücker
Sofia Tsokani
Dimitris Mavridis
Source :
Methods in Molecular Biology ISBN: 9781071615652
Publication Year :
2021
Publisher :
Springer US, 2021.

Abstract

The rapid increase in diagnostic and screening techniques has urged the need to choose among multiple diagnostic tests. For the majority of diseases, there is more than a single test available, and studies usually compare a subset of these tests. In such cases, a separate meta-analysis of each test cannot provide a reliable answer on the relative accuracy of the multiple available tests. Extensions of standard (hierarchical) meta-analysis to network meta-analysis (NMA) models for the comparison of at least three diagnostic tests have been the subject of methodological research in recent years. NMA can be used to jointly analyze the totality of evidence in order to provide estimates of relative accuracy (sensitivity and specificity ), to compare tests that have not been compared head-to-head, and to obtain a ranking of all competing tests in order to further facilitate the decision-making process.In this chapter, we illustrate current methodology for meta-analysis of multiple test comparisons, introduce NMA methods of diagnostic tests as an extension to the standard meta-analysis of diagnostic test accuracy (DTA) studies, and present existing approaches to rank tests according to their accuracy, specificity , and sensitivity . We also describe the basic concepts, underlying assumptions, and challenges in NMA of multiple diagnostic tests.

Details

ISBN :
978-1-07-161565-2
ISBNs :
9781071615652
Database :
OpenAIRE
Journal :
Methods in Molecular Biology ISBN: 9781071615652
Accession number :
edsair.doi...........a2f5011a5c242859d9ad245cc43b2f4c
Full Text :
https://doi.org/10.1007/978-1-0716-1566-9_18