Systematic review and meta-analysis of studies evaluating diagnostic test accuracy: A practical review for clinical researchers–part II. Statistical methods of meta-analysis

Juneyoung Lee, Kyung Won Kim, Sang Hyun Choi, Jimi Huh, Seong Ho Park

Research output: Contribution to journalReview article

142 Citations (Scopus)

Abstract

Meta-analysis of diagnostic test accuracy studies differs from the usual meta-analysis of therapeutic/interventional studies in that, it is required to simultaneously analyze a pair of two outcome measures such as sensitivity and specificity, instead of a single outcome. Since sensitivity and specificity are generally inversely correlated and could be affected by a threshold effect, more sophisticated statistical methods are required for the meta-analysis of diagnostic test accuracy. Hierarchical models including the bivariate model and the hierarchical summary receiver operating characteristic model are increasingly being accepted as standard methods for meta-analysis of diagnostic test accuracy studies. We provide a conceptual review of statistical methods currently used and recommended for meta-analysis of diagnostic test accuracy studies. This article could serve as a methodological reference for those who perform systematic review and meta-analysis of diagnostic test accuracy studies.

Original languageEnglish
Pages (from-to)1188-1196
Number of pages9
JournalKorean Journal of Radiology
Volume16
Issue number6
DOIs
Publication statusPublished - 2015 Nov 1

Keywords

  • Diagnostic test accuracy
  • Meta-analysis
  • Systematic review

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging

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